{"schemaVersion":"2.0","industry":{"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"}}}