{"schemaVersion":"2.0","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","industries":[{"slug":"financial-services","name":"Financial services","headline":"Accelerate the business of banking","summary":"Connect customer, lending and payment data with AI agents that help banks serve relationships, advance credit and complete transactions.","image":"/images/industry-financial-services-v1.webp","imageAlt":"Illustrative grand banking hall with teller counters and consultation rooms","workflows":[{"title":"Advance lending decisions","pain":"Borrower information and credit evidence arrive separately, delaying viable lending opportunities.","detail":"AI agents interpret borrower documents, summarize credit evidence and route exceptions, preparing complete lending files for authorized review.","output":"Decision-ready lending files and documented next steps.","authority":"Credit officers approve terms and lending decisions.","businessValue":"Advance viable lending opportunities with shorter review cycles.","sourceIds":["fs-origination"],"aiCapability":"Document interpretation and case summarization grounded in lending policy.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Open and deepen relationships","pain":"Fragmented customer histories slow account opening and obscure relevant relationship opportunities.","detail":"AI agents synthesize customer history, personalize banker-reviewed opportunities and coordinate approved onboarding and relationship follow-up.","output":"Banker-approved opportunities and completed onboarding handoffs.","authority":"Bankers approve recommendations, eligibility and activation.","businessValue":"Convert customer demand into lasting deposit relationships.","sourceIds":["fs-relationships"],"aiCapability":"Synthesize customer context and personalize banker-reviewed relationship actions.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Keep payments moving","pain":"Payment failures create manual investigations, delayed transactions and avoidable customer service friction.","detail":"AI agents interpret payment exceptions, propose repairs and coordinate approved actions through confirmed processing status.","output":"Resolved exceptions with confirmed processing status.","authority":"Payment owners authorize corrections and fund movements.","businessValue":"Protect payment service revenue and strengthen customer trust.","sourceIds":["fs-payments"],"aiCapability":"Diagnose payment exceptions and propose repairs within bank operating rules.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."}],"story":{"framing":"Disconnected customer information slows account opening, credit reviews and payments. Elygent turns that context into agent workflows that advance lending, customer relationships and reliable service.","painPoints":[{"title":"Advance lending decisions","detail":"Borrower information and credit evidence arrive separately, delaying viable lending opportunities."},{"title":"Open and deepen relationships","detail":"Fragmented customer histories slow account opening and obscure relevant relationship opportunities."},{"title":"Keep payments moving","detail":"Payment failures create manual investigations, delayed transactions and avoidable customer service friction."}],"dataSources":[{"name":"Customer and account histories","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Income, credit and collateral records","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Payment messages and balances","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Product terms and risk policies","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Application-to-decision time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Account-opening completion rate","definition":"Completed account openings divided by eligible in-scope applications, multiplied by 100.","unit":"%","why":"Compare with the baseline while preserving quality and required review."},{"name":"Payment-exception resolution time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.","inputLabel":"Your core data, existing systems and a valuable operating bottleneck.","outputLabel":"An implemented agent workflow, enabled people and measured operating outcomes.","steps":[{"id":"discover-redesign","label":"Simplify the workflow","detail":"Find the bottleneck. Remove waste and agree the baseline.","records":"Current work, policies and baseline.","owner":"Process owner and Elygent team.","output":"A simpler workflow with agreed success measures."},{"id":"connect-foundation","label":"Connect the foundation","detail":"Make your data, knowledge and systems usable by agents.","records":"Approved data, knowledge and system access.","owner":"Data owners and implementation engineers.","output":"Trusted context and qualified system connections."},{"id":"deploy-enable","label":"Deploy and enable","detail":"Build agents, test exceptions and train the people using them.","records":"Test cases, review paths and working methods.","owner":"Elygent engineers and your team.","output":"A validated agent workflow and an enabled team."},{"id":"operate-improve","label":"Operate and improve","detail":"Measure completed work, improve throughput and expand what works.","records":"Accepted outputs, turnaround and exceptions.","owner":"Service owner and Elygent team.","output":"A measured operating service with approved improvements."}]},"faq":[{"question":"Do we need to replace our systems?","answer":"Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment."},{"question":"How do we know the work improved?","answer":"Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated."}],"sources":[{"id":"fs-origination","title":"Salesforce — Why Does Originating a Loan or Opening an Account in 2026 Still Feel Like 2006?","url":"https://www.salesforce.com/blog/digital-loan-origination-software/","publishedAt":"2026-06-09","accessedAt":"2026-10-05","evidenceType":"Current vendor description of loan and deposit origination workflows","note":"Describes connecting customer relationships, lending and deposit applications, document preparation and approval workflows. The narrative example and claimed speed figures are vendor marketing, not verified customer results or Elygent promises; product availability requires qualification."},{"id":"fs-payments","title":"Oracle — Banking Payments","url":"https://www.oracle.com/financial-services/banking/banking-payments/","publishedAt":null,"accessedAt":"2026-10-05","evidenceType":"Current documented banking product capabilities","note":"Describes payment data, exception queues and embedded AI support for issue identification, repair and corrective actions. This supports the proposed payment-operations pattern, not universal compatibility, autonomous Elygent money movement or a measured deployment result."},{"id":"fs-relationships","title":"Salesforce — AI-powered retail banking workflows","url":"https://www.salesforce.com/financial-services/banking-software/","publishedAt":null,"accessedAt":"2026-10-05","evidenceType":"Documented vendor AI capabilities","note":"Documents AI account summaries, product personalization and relationship follow-up using unified customer data. These are vendor capabilities, not Elygent results or guaranteed integrations."}]},"businessStory":{"context":"Disconnected customer information slows account opening, credit reviews and payments. Elygent turns that context into agent workflows that advance lending, customer relationships and reliable service.","outcomes":["Application-to-decision time","Account-opening completion rate","Payment-exception resolution time"],"coreData":["Customer and account histories","Income, credit and collateral records","Payment messages and balances","Product terms and risk policies"],"coreValue":"Help banks lend, grow deposit relationships and move customers’ money reliably.","implementationBridge":"Elygent redesigns the workflow, connects the bank’s systems, builds the agents and stays accountable for agreed operating outcomes."},"heroKind":"photo","imagePosition":"center center","path":"/industries/financial-services","url":"https://elygent.ai/industries/financial-services","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/financial-services","markdown":"https://elygent.ai/api/industries/financial-services/markdown"}},{"slug":"insurance","name":"Insurance","headline":"Accelerate underwriting, claims and renewals","summary":"Connect risk, policy and claims data with agents that help insurers advance underwriting, deliver claims service and retain valuable relationships.","image":"/images/industry-insurance-v1.webp","imageAlt":"Illustrative insurance assessor documenting vehicle damage at an assessment center","workflows":[{"title":"Move submissions to underwriting","detail":"AI agents read submissions, enrich risk information and route referrals, giving underwriters a complete decision package.","output":"Quote-ready submissions with fewer review loops.","authority":"Underwriters approve risk acceptance and terms.","sourceIds":["in-salesforce"],"pain":"Underwriters lose quoting time assembling submissions and chasing missing risk information.","businessValue":"Turn qualified submissions into premium-generating business sooner.","aiCapability":"Extract risk details and summarize submissions for underwriter review.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Move claims toward resolution","detail":"AI agents gather claim evidence, check policy context and prepare recommendations, then coordinate approved next steps.","output":"Reviewed claims ready for authorized settlement.","authority":"Claims professionals retain coverage and payout decisions.","sourceIds":["in-allianz","in-salesforce"],"pain":"Claims teams repeat evidence checks while customers wait for settlement decisions.","businessValue":"Deliver the insurance promise and preserve customer confidence.","aiCapability":"Interpret claim evidence against policy context and draft next steps.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Keep renewals moving","pain":"Renewal dates approach while brokers chase updates across disconnected policy systems.","detail":"AI agents assemble renewal context, request updates and prepare options, then coordinate approved broker and policyholder follow-up.","output":"Complete renewal packages and recorded follow-through.","authority":"Licensed teams approve terms and recommendations.","businessValue":"Protect renewal opportunities and strengthen lasting policyholder relationships.","sourceIds":["in-salesforce"],"aiCapability":"Synthesize renewal context and draft relevant broker and policyholder follow-up.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."}],"story":{"framing":"Premium opportunities stall in submissions while fragmented claims and renewal information weakens service. Elygent connects that information with agents that move underwriting, claims and relationships forward.","painPoints":[{"title":"Move submissions to underwriting","detail":"Underwriters lose quoting time assembling submissions and chasing missing risk information."},{"title":"Move claims toward resolution","detail":"Claims teams repeat evidence checks while customers wait for settlement decisions."},{"title":"Keep renewals moving","detail":"Renewal dates approach while brokers chase updates across disconnected policy systems."}],"dataSources":[{"name":"Risk submissions and exposure details","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Policy terms and premium records","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Claims evidence and loss histories","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Broker, policyholder and renewal records","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Submission-to-quote time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Claim resolution time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Renewal retention rate","definition":"Renewed eligible policies divided by all eligible renewals, multiplied by 100.","unit":"%","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.","inputLabel":"Your core data, existing systems and a valuable operating bottleneck.","outputLabel":"An implemented agent workflow, enabled people and measured operating outcomes.","steps":[{"id":"discover-redesign","label":"Simplify the workflow","detail":"Find the bottleneck. Remove waste and agree the baseline.","records":"Current work, policies and baseline.","owner":"Process owner and Elygent team.","output":"A simpler workflow with agreed success measures."},{"id":"connect-foundation","label":"Connect the foundation","detail":"Make your data, knowledge and systems usable by agents.","records":"Approved data, knowledge and system access.","owner":"Data owners and implementation engineers.","output":"Trusted context and qualified system connections."},{"id":"deploy-enable","label":"Deploy and enable","detail":"Build agents, test exceptions and train the people using them.","records":"Test cases, review paths and working methods.","owner":"Elygent engineers and your team.","output":"A validated agent workflow and an enabled team."},{"id":"operate-improve","label":"Operate and improve","detail":"Measure completed work, improve throughput and expand what works.","records":"Accepted outputs, turnaround and exceptions.","owner":"Service owner and Elygent team.","output":"A measured operating service with approved improvements."}]},"faq":[{"question":"Do we need to replace our systems?","answer":"Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment."},{"question":"How do we know the work improved?","answer":"Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated."}],"sources":[{"id":"in-allianz","title":"Allianz — When the storm clears, so should the claim queue","url":"https://www.allianz.com/en/mediacenter/news/articles/251103-when-the-storm-clears-so-should-the-claim-queue.html","publishedAt":"2025-11-03","accessedAt":"2026-10-05","evidenceType":"Named insurer-reported production deployment","note":"Project Nemo launched in Australia in July 2025 for low-complexity food-spoilage claims. Allianz reports faster processing with final payout decisions made by claims professionals; that scope and performance cannot be generalized or attributed to Elygent."},{"id":"in-salesforce","title":"Salesforce — Agentforce 360 for Insurance Carriers and MGAs, FY27 datasheet","url":"https://www.salesforce.com/en-us/wp-content/uploads/sites/4/Forms/FY27-A360-for-Insurance-Carriers-and-MGAs-Datasheet.pdf","publishedAt":null,"accessedAt":"2026-10-05","evidenceType":"Documented vendor product workflows","note":"Current FY27-labelled datasheet describes submission triage, underwriting referrals, claims intake, policyholder service and renewal/churn context. The proposed renewal sequence is Elygent synthesis; no exact publication date is stated and its performance figures are not adopted."}]},"businessStory":{"context":"Premium opportunities stall in submissions while fragmented claims and renewal information weakens service. Elygent connects that information with agents that move underwriting, claims and relationships forward.","outcomes":["Submission-to-quote time","Claim resolution time","Renewal retention rate"],"coreData":["Risk submissions and exposure details","Policy terms and premium records","Claims evidence and loss histories","Broker, policyholder and renewal records"],"coreValue":"Turn risk expertise into written premiums, trusted claims service and renewals.","implementationBridge":"Elygent connects insurance systems and specialist workflows, implements agents across the work and operates the service against agreed delivery measures."},"heroKind":"photo","imagePosition":"55% 25%","path":"/industries/insurance","url":"https://elygent.ai/industries/insurance","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/insurance","markdown":"https://elygent.ai/api/industries/insurance/markdown"}},{"slug":"healthcare","name":"Healthcare","headline":"More capacity for care","summary":"Help providers improve care access, reclaim clinician time and recover earned revenue with AI agents embedded in existing workflows.","image":"/images/industry-healthcare-v1.webp","imageAlt":"Illustrative healthcare analysts studying service demand and capacity in a violet-lit hospital operations workspace","workflows":[{"title":"Move authorizations forward","detail":"AI agents gather existing clinical evidence, draft payer responses and track requests through review and follow-up.","output":"Complete authorization requests, ready for submission.","authority":"Clinicians and authorized staff approve content.","sourceIds":["hc-epic"],"pain":"Incomplete requests and repeated payer questions delay access to ordered care.","businessValue":"Support timely care access with less authorization rework.","aiCapability":"Retrieve clinical evidence and draft payer-specific authorization responses.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Complete clinical documentation","detail":"AI captures authorized encounter content, drafts notes and prepares follow-up documents for clinician review and filing.","output":"Clinician-approved records with less documentation effort.","authority":"Clinicians retain signing and treatment decisions.","sourceIds":["hc-microsoft"],"pain":"Clinicians spend valuable appointment time rewriting notes and completing documentation after visits.","businessValue":"Return clinician time to patient care and capacity.","aiCapability":"Create draft clinical documentation from authorized encounter content.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Work through revenue-cycle denials","detail":"AI agents review denial reasons, retrieve supporting records and draft appeal packets for revenue-cycle specialists to validate.","output":"Approved appeals with evidence and tracked status.","authority":"Specialists approve coding and external submissions.","sourceIds":["hc-epic"],"pain":"Denied claims leave earned revenue waiting while specialists rebuild appeal evidence.","businessValue":"Recover earned revenue with more efficient denial follow-through.","aiCapability":"Interpret denial reasons and assemble source-grounded appeal drafts.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."}],"story":{"framing":"Encounter records, payer requirements and billing information live apart, delaying care access and payment. Agents connect the work so providers can serve patients and complete revenue recovery.","painPoints":[{"title":"Move authorizations forward","detail":"Incomplete requests and repeated payer questions delay access to ordered care."},{"title":"Complete clinical documentation","detail":"Clinicians spend valuable appointment time rewriting notes and completing documentation after visits."},{"title":"Work through revenue-cycle denials","detail":"Denied claims leave earned revenue waiting while specialists rebuild appeal evidence."}],"dataSources":[{"name":"Encounter records and care plans","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Orders and payer requirements","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Claims, remittances and denials","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Appointment and provider schedules","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Time to authorization submission","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Time to signed encounter note","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Denial-to-appeal turnaround","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.","inputLabel":"Your core data, existing systems and a valuable operating bottleneck.","outputLabel":"An implemented agent workflow, enabled people and measured operating outcomes.","steps":[{"id":"discover-redesign","label":"Simplify the workflow","detail":"Find the bottleneck. Remove waste and agree the baseline.","records":"Current work, policies and baseline.","owner":"Process owner and Elygent team.","output":"A simpler workflow with agreed success measures."},{"id":"connect-foundation","label":"Connect the foundation","detail":"Make your data, knowledge and systems usable by agents.","records":"Approved data, knowledge and system access.","owner":"Data owners and implementation engineers.","output":"Trusted context and qualified system connections."},{"id":"deploy-enable","label":"Deploy and enable","detail":"Build agents, test exceptions and train the people using them.","records":"Test cases, review paths and working methods.","owner":"Elygent engineers and your team.","output":"A validated agent workflow and an enabled team."},{"id":"operate-improve","label":"Operate and improve","detail":"Measure completed work, improve throughput and expand what works.","records":"Accepted outputs, turnaround and exceptions.","owner":"Service owner and Elygent team.","output":"A measured operating service with approved improvements."}]},"faq":[{"question":"Do we need to replace our systems?","answer":"Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment."},{"question":"How do we know the work improved?","answer":"Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated."}],"sources":[{"id":"hc-epic","title":"Epic — Penny for Revenue Cycle and Operations","url":"https://www.epic.com/software/penny/","publishedAt":null,"accessedAt":"2026-10-05","evidenceType":"Documented product workflows with a named customer example","note":"Current undated page describes prior-authorization document search and drafted answers, coding suggestions and denial-appeal drafts. It also reports a specific Advocate Health specialty-pharmacy example; vendor and customer results are not Elygent outcomes."},{"id":"hc-microsoft","title":"Microsoft — Dragon Copilot intended use cases","url":"https://learn.microsoft.com/en-us/industry/healthcare/dragon-copilot/whitepapers/use-cases","publishedAt":null,"accessedAt":"2026-10-05","evidenceType":"Current official intended-use documentation","note":"Date is the documented last update. Describes draft encounter notes, summaries and referral letters for qualified care-team users; customers retain review, approval and EHR filing responsibility. This supports documentation assistance, not autonomous clinical decisions.","updatedAt":"2026-08-21"}]},"businessStory":{"context":"Encounter records, payer requirements and billing information live apart, delaying care access and payment. Agents connect the work so providers can serve patients and complete revenue recovery.","outcomes":["Time to authorization submission","Time to signed encounter note","Denial-to-appeal turnaround"],"coreData":["Encounter records and care plans","Orders and payer requirements","Claims, remittances and denials","Appointment and provider schedules"],"coreValue":"Give providers more time to deliver care and recover earned revenue.","implementationBridge":"Elygent connects approved clinical and billing systems, builds agents around care-team workflows and manages delivery with the required human review."},"heroKind":"photo","imagePosition":"40% center","path":"/industries/healthcare","url":"https://elygent.ai/industries/healthcare","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/healthcare","markdown":"https://elygent.ai/api/industries/healthcare/markdown"}},{"slug":"professional-services","name":"Professional services","headline":"Turn expertise into client value","summary":"Connect firm knowledge, client evidence and delivery methods with agents that help specialists complete diligence, shape advice and deliver engagements.","image":"/images/industry-professional-services-v1.webp","imageAlt":"Illustrative research and data specialists examining complex evidence in a violet-lit city studio","workflows":[{"title":"Accelerate due diligence","detail":"AI agents examine data-room documents, connect evidence and flag contradictions, assembling findings and open questions for deal teams.","output":"Reviewed diligence findings with traceable sources.","authority":"Deal specialists approve conclusions and recommendations.","sourceIds":["ps-deals"],"pain":"Growing data rooms force specialists to repeat searches and verify sources.","businessValue":"Complete more diligence work within demanding deal timelines.","aiCapability":"Interpret document collections and identify inconsistencies with source evidence.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Scale client delivery","detail":"AI agents turn approved requirements into specifications, test materials and delivery drafts, coordinating review across the engagement.","output":"Review-approved deliverables with less repeated preparation.","authority":"Engagement leads authorize commitments and release.","sourceIds":["ps-managed"],"pain":"Teams rebuild specifications and deliverables instead of applying expertise to clients.","businessValue":"Expand delivery capacity and protect engagement economics.","aiCapability":"Generate delivery materials from requirements and firm methods.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."},{"title":"Make expertise reusable","detail":"AI agents find approved firm knowledge, apply engagement context and prepare grounded answers that help teams resolve client issues.","output":"Reviewed answers and reusable delivery guidance.","authority":"Experts approve advice and knowledge reuse.","sourceIds":["ps-managed"],"pain":"Firm expertise stays scattered, slowing answers and making client work repetitive.","businessValue":"Scale firm expertise across more valuable client work.","aiCapability":"Retrieve approved knowledge and reason over engagement-specific context.","capabilityLimits":"Access, data quality, output testing and human authority are qualified during implementation."}],"story":{"framing":"Expertise is the product, but repeated research and fragmented client evidence consume delivery time. Elygent agents put firm knowledge to work across diligence, advice and client engagements.","painPoints":[{"title":"Accelerate due diligence","detail":"Growing data rooms force specialists to repeat searches and verify sources."},{"title":"Scale client delivery","detail":"Teams rebuild specifications and deliverables instead of applying expertise to clients."},{"title":"Make expertise reusable","detail":"Firm expertise stays scattered, slowing answers and making client work repetitive."}],"dataSources":[{"name":"Client documents and business records","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Firm methods and approved precedents","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Research sources and specialist findings","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Engagement requirements and review decisions","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Time to reviewed diligence findings","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Deliverables accepted per team hour","definition":"Accepted outputs divided by team hours for the same agreed scope.","unit":"Outputs/hour","why":"Compare with the baseline while preserving quality and required review."},{"name":"Time to resolve client issues","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.","inputLabel":"Your core data, existing systems and a valuable operating bottleneck.","outputLabel":"An implemented agent workflow, enabled people and measured operating outcomes.","steps":[{"id":"discover-redesign","label":"Simplify the workflow","detail":"Find the bottleneck. Remove waste and agree the baseline.","records":"Current work, policies and baseline.","owner":"Process owner and Elygent team.","output":"A simpler workflow with agreed success measures."},{"id":"connect-foundation","label":"Connect the foundation","detail":"Make your data, knowledge and systems usable by agents.","records":"Approved data, knowledge and system access.","owner":"Data owners and implementation engineers.","output":"Trusted context and qualified system connections."},{"id":"deploy-enable","label":"Deploy and enable","detail":"Build agents, test exceptions and train the people using them.","records":"Test cases, review paths and working methods.","owner":"Elygent engineers and your team.","output":"A validated agent workflow and an enabled team."},{"id":"operate-improve","label":"Operate and improve","detail":"Measure completed work, improve throughput and expand what works.","records":"Accepted outputs, turnaround and exceptions.","owner":"Service owner and Elygent team.","output":"A measured operating service with approved improvements."}]},"faq":[{"question":"Do we need to replace our systems?","answer":"Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment."},{"question":"How do we know the work improved?","answer":"Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated."}],"sources":[{"id":"ps-deals","title":"PwC — Reimagining deals for the Age of AI: PwC and ToltIQ","url":"https://www.pwc.com/us/en/about-us/newsroom/press-releases/reimagining-deals-for-the-age-of-ai.html","publishedAt":"2026-06-15","accessedAt":"2026-10-05","evidenceType":"Firm-reported prior use and strategic relationship","note":"Reports prior practitioner use on live deals and describes deal-document analysis, source-linked outputs and persistent context. It supports diligence as a deployed use-case category; none of its scale figures or assurances transfers to Elygent."},{"id":"ps-managed","title":"PwC — A practical, value-driven approach to AI agents in Managed Services","url":"https://www.pwc.com/us/en/services/managed-services/library/agentic-workflows.html","publishedAt":"2025-05-20","accessedAt":"2026-10-05","evidenceType":"Service-provider account of deployed capabilities and proposed workflows","note":"Describes client-system knowledge, human-reviewed advice, functional specifications, test scripts and training materials. Provider-wide productivity assertions have limited published study detail and are not adopted as Elygent results or guarantees."}]},"businessStory":{"context":"Expertise is the product, but repeated research and fragmented client evidence consume delivery time. Elygent agents put firm knowledge to work across diligence, advice and client engagements.","outcomes":["Time to reviewed diligence findings","Deliverables accepted per team hour","Time to resolve client issues"],"coreData":["Client documents and business records","Firm methods and approved precedents","Research sources and specialist findings","Engagement requirements and review decisions"],"coreValue":"Convert trusted expertise into advice, completed engagements and lasting client relationships.","implementationBridge":"Elygent turns firm methods into working agents, connects approved client knowledge and manages delivery workflows with your engagement specialists."},"heroKind":"photo","imagePosition":"40% center","path":"/industries/professional-services","url":"https://elygent.ai/industries/professional-services","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/professional-services","markdown":"https://elygent.ai/api/industries/professional-services/markdown"}},{"slug":"manufacturing","name":"Manufacturing","headline":"AI agents for faster production","summary":"Custom AI agents support maintenance, inspect product quality and accelerate engineering, helping your teams keep production moving toward saleable output.","image":"/images/industry-manufacturing-v1.webp","imageAlt":"Illustrative manufacturing specialists analyzing telemetry and quality patterns beside a guarded production line","workflows":[{"title":"Maintenance response","pain":"Unexpected breakdowns leave technicians chasing manuals, parts and work-order context across systems.","detail":"AI agents interpret fault descriptions against asset manuals and maintenance history, guide troubleshooting and prepare maintenance actions for qualified technicians.","output":"Reviewed repair plans with less diagnostic preparation.","authority":"Qualified personnel approve repairs and equipment actions.","businessValue":"Keep production moving with fewer maintenance bottlenecks.","aiCapability":"Grounded language reasoning over fault descriptions, attached asset manuals and available maintenance history.","capabilityLimits":"Depends on attached documents and available history; recommendations require qualified technician validation.","sourceIds":["mfg-maintenance"]},{"title":"Visual quality inspection","pain":"Manual inspection struggles to spot subtle defects consistently across changing products and production.","detail":"AI evaluates inspection images against approved references; agents record suspected defects, connect production context and route exceptions for qualified review.","output":"Inspection results and routed exceptions supporting reviewed product release.","authority":"Quality owners approve disposition and product release.","businessValue":"Support saleable output through more consistent inspection.","aiCapability":"Computer vision evaluates visual anomalies; the agent manages the exception workflow.","capabilityLimits":"Product-specific imaging and acceptance tests; visual checks do not certify hidden defects or replace release authority.","sourceIds":["mfg-engineering-vision"]},{"title":"Engineering change delivery","pain":"Engineering backlogs grow when requirements, automation code and testing require repeated manual handoffs.","detail":"AI agents convert approved project requirements into automation code and configuration, generate checks and present changes for engineering review.","output":"Checked engineering changes ready for faster implementation.","authority":"Engineers approve deployment and commissioning.","businessValue":"Bring product changes into production with less delay.","aiCapability":"Language-model code generation grounded in project structures, plus automated test generation.","capabilityLimits":"Customer proof-of-concept evidence; engineers remain responsible for validation, optimization and deployment.","sourceIds":["mfg-engineering-vision"]}],"story":{"framing":"Equipment issues, missed defects and engineering delays interrupt saleable production. Agents use factory knowledge and inspection evidence to move reviewed work through the production process.","painPoints":[{"title":"Maintenance response","detail":"Unexpected breakdowns leave technicians chasing manuals, parts and work-order context across systems."},{"title":"Visual quality inspection","detail":"Manual inspection struggles to spot subtle defects consistently across changing products and production."},{"title":"Engineering change delivery","detail":"Engineering backlogs grow when requirements, automation code and testing require repeated manual handoffs."}],"dataSources":[{"name":"Equipment manuals and history","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Inspection images and standards","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Production and quality records","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Engineering requirements and code","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Maintenance response time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Inspection review turnaround","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Engineering change turnaround","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.","inputLabel":"Your core data, existing systems and a valuable operating bottleneck.","outputLabel":"An implemented agent workflow, enabled people and measured operating outcomes.","steps":[{"id":"discover-redesign","label":"Simplify the workflow","detail":"Find the bottleneck. Remove waste and agree the baseline.","records":"Current work, policies and baseline.","owner":"Process owner and Elygent team.","output":"A simpler workflow with agreed success measures."},{"id":"connect-foundation","label":"Connect the foundation","detail":"Make your data, knowledge and systems usable by agents.","records":"Approved data, knowledge and system access.","owner":"Data owners and implementation engineers.","output":"Trusted context and qualified system connections."},{"id":"deploy-enable","label":"Deploy and enable","detail":"Build agents, test exceptions and train the people using them.","records":"Test cases, review paths and working methods.","owner":"Elygent engineers and your team.","output":"A validated agent workflow and an enabled team."},{"id":"operate-improve","label":"Operate and improve","detail":"Measure completed work, improve throughput and expand what works.","records":"Accepted outputs, turnaround and exceptions.","owner":"Service owner and Elygent team.","output":"A measured operating service with approved improvements."}]},"faq":[{"question":"Do we need to replace our systems?","answer":"Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment."},{"question":"How do we know the work improved?","answer":"Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated."}],"sources":[{"id":"mfg-maintenance","title":"Siemens Asset Essentials — Maintenance Copilot","url":"https://help.assetmanagement.siemens.com/help/Content/Documentation/Maintenance/Asset%20Essentials/EnterpriseFeatures/AI-Driven%20Capabilities/Maintenance%20Copilot.htm","note":"Current official documentation: fault descriptions grounded in attached asset manuals and bounded maintenance history; diagnostics, spare-part recommendations and work-order notes. Source-data and subscription limits apply.","accessedAt":"2026-10-05","publishedAt":null,"evidenceType":"official-product-documentation"},{"id":"mfg-engineering-vision","title":"Siemens — CASMT engineering and visual-inspection proof of concept","url":"https://www.siemens.com/en-us/company/insights/success-stories/casmt-inspekto-eigen-engineering-agent/","note":"Named customer proof of concept: natural-language automation engineering, configuration and automated test generation; Inspekto visual detection of surface/assembly defects. Engineers retain validation and optimization. Not a widespread rollout claim.","accessedAt":"2026-10-05","publishedAt":null,"evidenceType":"customer-proof-of-concept"}]},"businessStory":{"context":"Equipment issues, missed defects and engineering delays interrupt saleable production. Agents use factory knowledge and inspection evidence to move reviewed work through the production process.","outcomes":["Maintenance response time","Inspection review turnaround","Engineering change turnaround"],"coreData":["Equipment manuals and history","Inspection images and standards","Production and quality records","Engineering requirements and code"],"coreValue":"Turn engineering, equipment and quality data into saleable products and dependable production.","implementationBridge":"Elygent redesigns maintenance, quality and engineering workflows, connects production context and deploys agents with the teams who own the work."},"heroKind":"photo","imagePosition":"40% center","path":"/industries/manufacturing","url":"https://elygent.ai/industries/manufacturing","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/manufacturing","markdown":"https://elygent.ai/api/industries/manufacturing/markdown"}},{"slug":"retail","name":"Retail","headline":"Turn customer demand into sales","summary":"Custom AI agents guide shopping, carry customer requests through resolution and coordinate replenishment, giving retail teams more capacity for customers.","image":"/images/industry-retail-v1.webp","imageAlt":"Illustrative retail planning specialists studying demand patterns with product samples in a violet-lit analytics studio","workflows":[{"title":"Shopping assistance","pain":"Shoppers abandon decisions when product questions and availability require waiting for staff.","detail":"AI agents interpret shopping intent, match approved product information and guide customers toward suitable items and purchase steps across channels.","output":"Clear recommendations and next steps for an informed purchase.","authority":"Customers authorize purchases; staff approve exceptions.","businessValue":"Help shoppers move from product interest to purchase.","aiCapability":"Interprets shopping goals, occasion and budget; matches product descriptions and approved customer context.","capabilityLimits":"Selected-market shopping pilot in the cited case; do not assume basket creation, payment or pricing powers.","sourceIds":["retail-pandora"]},{"title":"Customer service follow-through","pain":"Service queues expand as order updates, returns and exceptions bounce between teams.","detail":"AI agents interpret customer questions, combine product policies with order context, and resolve approved requests or escalate changes with a conversation summary.","output":"Resolved questions and complete handoffs for order changes.","authority":"Staff approve refunds and policy exceptions.","businessValue":"Support repeat purchase through faster, better customer service.","aiCapability":"Language understanding and grounded answers combine product policies, order status and conversational context.","capabilityLimits":"The reported live agent handles defined FAQs/status; unsupported order changes escalate to people.","sourceIds":["retail-pandora"]},{"title":"Replenishment coordination","pain":"Supplier emails change availability while buyers manually reconcile orders and stock plans.","detail":"AI interprets supplier emails and PDF changes; agents match affected orders, prepare reviewed updates and coordinate the next replenishment steps.","output":"Reviewed supplier changes supporting faster replenishment decisions.","authority":"Buyers approve purchasing and supplier commitments.","businessValue":"Support product availability within purchasing and margin controls.","aiCapability":"Interprets unstructured supplier email/PDF intent and maps it to the correct order context for buyer review.","capabilityLimits":"Production-ready preview; unsupported split deliveries, site/vendor changes and commercial commitments need human handling.","sourceIds":["retail-procurement"]}],"story":{"framing":"Shoppers need answers while orders, returns and stock changes cross teams. Agents carry those workflows forward, with approvals where customers and commercial decisions need them.","painPoints":[{"title":"Shopping assistance","detail":"Shoppers abandon decisions when product questions and availability require waiting for staff."},{"title":"Customer service follow-through","detail":"Service queues expand as order updates, returns and exceptions bounce between teams."},{"title":"Replenishment coordination","detail":"Supplier emails change availability while buyers manually reconcile orders and stock plans."}],"dataSources":[{"name":"Product catalog and availability","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Customer requests and order history","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Demand and inventory signals","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Supplier confirmations and policies","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Shopping assistance response time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Customer case resolution time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Replenishment action turnaround","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. 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AI classifies vendor email/PDF intent, matches orders and proposes reviewed changes; not every line/site/vendor-change scenario is supported.","accessedAt":"2026-10-05","publishedAt":null,"evidenceType":"Official AI feature documentation; production-ready preview","updatedAt":"2026-08-10"},{"id":"retail-pandora","title":"Salesforce — Pandora customer story","url":"https://www.salesforce.com/customer-stories/pandora/","note":"October 8, 2025: reported live Clara FAQs/order-status reasoning and human escalation; Gemma product matching is described as a selected-market pilot. No performance figures copied.","accessedAt":"2026-10-05","publishedAt":"2025-10-08","evidenceType":"vendor-customer-story"}]},"businessStory":{"context":"Shoppers need answers while orders, returns and stock changes cross teams. Agents carry those workflows forward, with approvals where customers and commercial decisions need them.","outcomes":["Shopping assistance response time","Customer case resolution time","Replenishment action turnaround"],"coreData":["Product catalog and availability","Customer requests and order history","Demand and inventory signals","Supplier confirmations and policies"],"coreValue":"Turn product and customer knowledge into purchases, repeat business and available stock.","implementationBridge":"Elygent implements agents across commerce, service and replenishment, connecting retail data and systems with clear operating rules."},"heroKind":"photo","imagePosition":"40% center","path":"/industries/retail","url":"https://elygent.ai/industries/retail","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/retail","markdown":"https://elygent.ai/api/industries/retail/markdown"}},{"slug":"logistics","name":"Logistics","headline":"Keep freight and revenue moving","summary":"Custom AI agents coordinate disruptions, prepare freight bookings and manage handoffs, helping logistics teams move shipments forward with less chasing.","image":"/images/industry-logistics-v1.webp","imageAlt":"Illustrative logistics analysts studying network patterns in a violet-lit control room overlooking a freight terminal","workflows":[{"title":"Disruption response","pain":"Disruptions leave shipment owners piecing together carrier, warehouse and customer updates manually.","detail":"AI agents gather shipment context, coordinate approved follow-ups and prepare recovery options across carrier, warehouse and customer workflows for operator decisions.","output":"Owned recovery actions and clearer, faster exception response.","authority":"Dispatchers approve rerouting and customer commitments.","businessValue":"Protect reliable freight service when shipment conditions change.","aiCapability":"Interprets fragmented status messages and exception context to prepare bounded recovery workflows.","capabilityLimits":"Reported deployments cover communication/coordination; full recovery planning needs additional qualification and operator approval.","sourceIds":["logistics-operations","logistics-booking"]},{"title":"Freight booking execution","pain":"Complex customer instructions slow shipment booking and repeated entry across transport systems.","detail":"AI agents interpret booking instructions, validate shipment requirements and prepare complete records in qualified transport systems, escalating service or document exceptions.","output":"Accepted shipment records with less manual booking preparation.","authority":"Operators approve booking and service commitments.","businessValue":"Accept freight work faster with fewer preparation bottlenecks.","aiCapability":"Extracts and interprets requirements from emails, documents and attachments before human-validated system entry.","capabilityLimits":"DHL reports a CargoWise workflow; customer trade rules and system updates require separate validation.","sourceIds":["logistics-booking"]},{"title":"Warehouse and driver coordination","pain":"Missed appointments and repeated driver calls delay warehouse handoffs and operational follow-through.","detail":"AI agents coordinate appointment requests, driver follow-ups and high-priority warehouse alerts, updating approved operational records and routing exceptions to their owners.","output":"Confirmed operational handoffs with fewer repeated coordination calls.","authority":"Warehouse and transport owners approve exceptions.","businessValue":"Keep booked freight moving through scheduled operating handoffs.","aiCapability":"Conversational voice/email agents interpret appointment and status requests and coordinate follow-ups.","capabilityLimits":"Operator deployments cover scheduling and driver/warehouse coordination; commitments follow approved operating rules.","sourceIds":["logistics-operations"]}],"story":{"framing":"Disruptions, changing instructions and handoff delays send teams across calls, portals and transport systems. Agents coordinate the work, while operators control routing and customer commitments.","painPoints":[{"title":"Disruption response","detail":"Disruptions leave shipment owners piecing together carrier, warehouse and customer updates manually."},{"title":"Freight booking execution","detail":"Complex customer instructions slow shipment booking and repeated entry across transport systems."},{"title":"Warehouse and driver coordination","detail":"Missed appointments and repeated driver calls delay warehouse handoffs and operational follow-through."}],"dataSources":[{"name":"Shipment instructions and documents","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Carrier and warehouse events","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Network schedules and capacity","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Customer service requirements","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Exception response time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Shipment booking turnaround","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Appointment confirmation time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.","inputLabel":"Your core data, existing systems and a valuable operating bottleneck.","outputLabel":"An implemented agent workflow, enabled people and measured operating outcomes.","steps":[{"id":"discover-redesign","label":"Simplify the workflow","detail":"Find the bottleneck. 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Test the new workflow, measure accepted output in operation and expand only after the result is validated."}],"sources":[{"title":"DHL — Operational communications with HappyRobot AI agents","url":"https://group.dhl.com/en/media-relations/press-releases/2025/dhl-boosts-operational-efficiency-and-customer-communications-with-happyrobots-ai-agents.html","note":"November 11, 2025 operator report: deployments cover appointment scheduling, driver follow-ups, transport status and high-priority warehouse coordination; broader recovery orchestration is a proposed bounded extension.","accessedAt":"2026-10-05","id":"logistics-operations","publishedAt":"2025-11-11","evidenceType":"Operator-reported AI agent deployment"},{"title":"DHL Global Forwarding, Freight — Capital Market Briefing","url":"https://group.dhl.com/content/dam/deutschepostdhl/de/media-center/investors/documents/capital-markets-days/DHL-Group-DGFF-Capital-Market-Briefing-London-March-2026.pdf","note":"March 31, 2026, slide 13: agentic extraction from emails/documents, human validation and CargoWise shipment-record creation; slide 11 frames proactive notification and recovery options. Numerical claims are excluded.","accessedAt":"2026-10-05","id":"logistics-booking","publishedAt":"2026-03-31","evidenceType":"Operator investor presentation with agentic booking workflow"}]},"businessStory":{"context":"Disruptions, changing instructions and handoff delays send teams across calls, portals and transport systems. Agents coordinate the work, while operators control routing and customer commitments.","outcomes":["Exception response time","Shipment booking turnaround","Appointment confirmation time"],"coreData":["Shipment instructions and documents","Carrier and warehouse events","Network schedules and capacity","Customer service requirements"],"coreValue":"Turn shipment instructions and network events into reliable freight services customers pay for.","implementationBridge":"Elygent connects shipment, carrier and warehouse workflows, then implements agents that move approved work through with your operations team."},"heroKind":"photo","imagePosition":"40% center","path":"/industries/logistics","url":"https://elygent.ai/industries/logistics","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/logistics","markdown":"https://elygent.ai/api/industries/logistics/markdown"}},{"slug":"enterprise-saas","name":"Enterprise SaaS","headline":"Deliver more value to customers","summary":"Custom AI agents resolve support requests, coordinate incidents and carry engineering tasks toward review, giving SaaS teams capacity to ship.","image":"/images/industry-enterprise-saas-v1.webp","imageAlt":"Illustrative software product team working at monitors facing them in a violet-lit workspace","workflows":[{"title":"Support resolution","pain":"Support queues grow when product questions and account actions need repeated specialist handoffs.","detail":"AI agents answer approved product questions, perform permitted service actions and carry cases across support systems, escalating complex requests with context.","output":"Resolved support requests and shorter handoffs to specialists.","authority":"Support owners approve sensitive actions and exceptions.","businessValue":"Help customers keep using and adopting the product.","aiCapability":"Grounded language answers and intent-driven service flows use approved product knowledge.","capabilityLimits":"Controlled support actions are documented; sensitive account changes require separately authorized workflows.","sourceIds":["saas-service"]},{"title":"Incident coordination","pain":"Incident responders lose time assembling alerts, recent changes and updates across tools.","detail":"AI agents assemble incident context, suggest approved runbook steps and coordinate draft updates, helping responders move from investigation toward controlled mitigation.","output":"Coordinated incident response with less context gathering.","authority":"Incident commanders approve mitigation and communications.","businessValue":"Restore dependable product service when incidents interrupt customers.","aiCapability":"Summarizes and relates alerts, changes and incident history to accelerate responder context.","capabilityLimits":"Outputs provide context and suggestions; responders validate mitigation, root cause and stakeholder updates.","sourceIds":["saas-service"]},{"title":"Engineering delivery","pain":"Engineering backlogs stall delivery when issues, implementation and checks require separate manual effort.","detail":"AI agents turn scoped work items into code changes, run agreed checks and prepare reviewable pull requests aligned to the original requirements.","output":"Tested code changes ready for engineer review.","authority":"Engineers approve merges and production releases.","businessValue":"Shorten the path from issue to product improvement.","aiCapability":"Generates code from scoped issues and repository context, then executes tests/linters and prepares reviewable changes.","capabilityLimits":"GitHub supports scoped tasks with plan, repository and policy restrictions; humans approve merging and release.","sourceIds":["saas-engineering"]}],"story":{"framing":"Support queues, incident bridges and engineering backlogs compete for the same specialists. Agents carry routine steps across tools, so people can resolve exceptions and ship.","painPoints":[{"title":"Support resolution","detail":"Support queues grow when product questions and account actions need repeated specialist handoffs."},{"title":"Incident coordination","detail":"Incident responders lose time assembling alerts, recent changes and updates across tools."},{"title":"Engineering delivery","detail":"Engineering backlogs stall delivery when issues, implementation and checks require separate manual effort."}],"dataSources":[{"name":"Product knowledge and accounts","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Support requests and runbooks","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Product alerts and changes","detail":"Qualify ownership, permitted access, quality and business context before connecting."},{"name":"Code and acceptance criteria","detail":"Qualify ownership, permitted access, quality and business context before connecting."}],"metrics":[{"name":"Support case resolution time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Incident mitigation time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."},{"name":"Engineering change review time","definition":"Elapsed time between the agreed start and accepted completion of the workflow.","unit":"Time","why":"Compare with the baseline while preserving quality and required review."}],"spotlight":{"title":"From bottleneck to working agents","summary":"Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.","inputLabel":"Your core data, existing systems and a valuable operating bottleneck.","outputLabel":"An implemented agent workflow, enabled people and measured operating outcomes.","steps":[{"id":"discover-redesign","label":"Simplify the workflow","detail":"Find the bottleneck. 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Data and context are prepared around it; system access and supported actions are agreed before deployment."},{"question":"How do we know the work improved?","answer":"Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated."}],"sources":[{"title":"Atlassian — AI features in Jira Service Management","url":"https://support.atlassian.com/organization-administration/docs/atlassian-intelligence-features-in-jira-service-management/","note":"Current operational documentation supports knowledge-grounded virtual agents, controlled actions, alert grouping, incident context and response support. Availability varies by plan and environment; no Elygent deployment is implied.","accessedAt":"2026-10-05","id":"saas-service","publishedAt":null,"evidenceType":"official-product-documentation"},{"title":"GitHub — Copilot cloud agent","url":"https://docs.github.com/en/copilot/concepts/agents/cloud-agent/about-cloud-agent","note":"Current documentation supports scoped repository tasks, code changes, tests/linters and pull requests for review; availability and administrative policy requirements remain provider-specific.","accessedAt":"2026-10-05","id":"saas-engineering","publishedAt":null,"evidenceType":"official-product-documentation"}]},"businessStory":{"context":"Support queues, incident bridges and engineering backlogs compete for the same specialists. Agents carry routine steps across tools, so people can resolve exceptions and ship.","outcomes":["Support case resolution time","Incident mitigation time","Engineering change review time"],"coreData":["Product knowledge and accounts","Support requests and runbooks","Product alerts and changes","Code and acceptance criteria"],"coreValue":"Turn product knowledge, usage and code into customer value, retention and a stronger product.","implementationBridge":"Elygent implements agents across support, incident and engineering workflows, connecting product context and tools before a tested rollout."},"heroKind":"photo","imagePosition":"60% center","path":"/industries/enterprise-saas","url":"https://elygent.ai/industries/enterprise-saas","notice":"Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results.","formats":{"json":"https://elygent.ai/api/industries/enterprise-saas","markdown":"https://elygent.ai/api/industries/enterprise-saas/markdown"}}]}