# Elygent for Professional services Turn expertise into client value Connect firm knowledge, client evidence and delivery methods with agents that help specialists complete diligence, shape advice and deliver engagements. Core data: Client documents and business records · Firm methods and approved precedents · Research sources and specialist findings · Engagement requirements and review decisions Convert trusted expertise into advice, completed engagements and lasting client relationships. 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. ## AI workflows to transform ### Accelerate due diligence Operating pain: Growing data rooms force specialists to repeat searches and verify sources. Agent execution: AI agents examine data-room documents, connect evidence and flag contradictions, assembling findings and open questions for deal teams. Accepted output: Reviewed diligence findings with traceable sources. Business value: Complete more diligence work within demanding deal timelines. Decision owner: Deal specialists approve conclusions and recommendations. AI capability: Interpret document collections and identify inconsistencies with source evidence. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: ps-deals ### Scale client delivery Operating pain: Teams rebuild specifications and deliverables instead of applying expertise to clients. Agent execution: AI agents turn approved requirements into specifications, test materials and delivery drafts, coordinating review across the engagement. Accepted output: Review-approved deliverables with less repeated preparation. Business value: Expand delivery capacity and protect engagement economics. Decision owner: Engagement leads authorize commitments and release. AI capability: Generate delivery materials from requirements and firm methods. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: ps-managed ### Make expertise reusable Operating pain: Firm expertise stays scattered, slowing answers and making client work repetitive. Agent execution: AI agents find approved firm knowledge, apply engagement context and prepare grounded answers that help teams resolve client issues. Accepted output: Reviewed answers and reusable delivery guidance. Business value: Scale firm expertise across more valuable client work. Decision owner: Experts approve advice and knowledge reuse. AI capability: Retrieve approved knowledge and reason over engagement-specific context. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: ps-managed ## Measure the operating change - Time to reviewed diligence findings - Deliverables accepted per team hour - Time to resolve client issues ## Implementation and transformation Elygent turns firm methods into working agents, connects approved client knowledge and manages delivery workflows with your engagement specialists. ### 1. Simplify the workflow Find the bottleneck. Remove waste and agree the baseline. ### 2. Connect the foundation Make your data, knowledge and systems usable by agents. ### 3. Deploy and enable Build agents, test exceptions and train the people using them. ### 4. Operate and improve Measure completed work, improve throughput and expand what works. Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results. ## Implementation details From bottleneck to working agents 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. Where we start: Your core data, existing systems and a valuable operating bottleneck. What we implement: An implemented agent workflow, enabled people and measured operating outcomes. ### Simplify the workflow Source records: Current work, policies and baseline. Output: A simpler workflow with agreed success measures. Owner: Process owner and Elygent team. ### Connect the foundation Source records: Approved data, knowledge and system access. Output: Trusted context and qualified system connections. Owner: Data owners and implementation engineers. ### Deploy and enable Source records: Test cases, review paths and working methods. Output: A validated agent workflow and an enabled team. Owner: Elygent engineers and your team. ### Operate and improve Source records: Accepted outputs, turnaround and exceptions. Output: A measured operating service with approved improvements. Owner: Service owner and Elygent team. ### Foundation for execution #### Client documents and business records Qualify ownership, permitted access, quality and business context before connecting. #### Firm methods and approved precedents Qualify ownership, permitted access, quality and business context before connecting. #### Research sources and specialist findings Qualify ownership, permitted access, quality and business context before connecting. #### Engagement requirements and review decisions Qualify ownership, permitted access, quality and business context before connecting. ### Agreed measures Measurement definitions to agree and baseline per engagement; no achieved performance is claimed. #### Time to reviewed diligence findings Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. #### Deliverables accepted per team hour Accepted outputs divided by team hours for the same agreed scope. Unit: Outputs/hour Compare with the baseline while preserving quality and required review. #### Time to resolve client issues Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. Elygent OS supports connected knowledge and approved learning behind the workflow. ### Questions about implementation #### Do we need to replace our systems? 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. #### How do we know the work improved? Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated. ## Research behind the AI use cases Documented AI use cases elsewhere in the industry; these are not Elygent customer results. - ps-deals: [PwC — Reimagining deals for the Age of AI: PwC and ToltIQ](https://www.pwc.com/us/en/about-us/newsroom/press-releases/reimagining-deals-for-the-age-of-ai.html) — 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. Published: 2026-06-15. Updated: not stated. Evidence: Firm-reported prior use and strategic relationship. Accessed 2026-10-05. - ps-managed: [PwC — A practical, value-driven approach to AI agents in Managed Services](https://www.pwc.com/us/en/services/managed-services/library/agentic-workflows.html) — 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. Published: 2025-05-20. Updated: not stated. Evidence: Service-provider account of deployed capabilities and proposed workflows. Accessed 2026-10-05. Canonical page: https://elygent.ai/industries/professional-services Implementation approach: https://elygent.ai/how-we-work Services: https://elygent.ai/services Security and control: https://elygent.ai/security Public information is read-only. Contact, newsletter signup and booking require the person's explicit authorization.