{"resourceId":"welsh-water-orai-control-room-ai-alarm-triage-2026","versions":[{"version":"external-80e7bed76f6c4c52802bab4237abb71424cab1efd1de6dee967c46cf632fc22a","resource":{"id":"welsh-water-orai-control-room-ai-alarm-triage-2026","title":"Welsh Water's ORAI control-room AI moves from proof of concept to MVP, assurance and parallel running","organization":"Dwr Cymru Welsh Water (not-for-profit) with FOIL AI and Microsoft","sector":"Water and wastewater operations control","geography":"Wales, UK","publishedAt":"Microsoft customer story, 22 Oct 2026","publicationDate":"2026-10-22","eventDate":null,"sourceName":"Microsoft","sourceLabel":"Vendor customer story","sourceUrl":"https://www.microsoft.com/en/customers/story/27504-welsh-water-microsoft-foundry","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["developers-agents","infrastructure","governance-procurement"],"finding":"Welsh Water, which can receive more than 1,800 telemetry alarms across about 14 systems on difficult days, built ORAI with FOIL AI on Microsoft Foundry and Fabric. It gives evidence-led recommendations in Teams while operators keep accountability; each event opens an auditable thread. After a proof of concept it is in MVP delivery, assurance and parallel running. The business case forecasts about 10% improvement against regulatory compliance over two years and a 15-30 minute event-time reduction.","sledRelevance":"A not-for-profit utility running control-room AI under explicit human accountability and parallel running, directly comparable with SAM in this edition.","evidence":"Vendor case study. Benefits are business-case forecasts, not measured results.","architectureImplications":"Cloud AI (Foundry) over a data platform (Fabric) aggregating ~14 telemetry systems, surfaced in Teams with auditable event threads.","governanceImplications":"Assurance and parallel running before reliance; auditable threads support review.","securityPrivacyImplications":"Telemetry from OT systems flows to a cloud platform; segmentation and data flows are not described.","caveats":"Vendor-authored; forecasts only; UK context; cloud dependency.","streamIds":["utility-management"],"roles":{"sales":"Sales framing: control rooms want AI help assembling evidence during incidents without giving up accountability. ORAI is a reference for staged delivery, from proof of concept to parallel running. Ask how many systems operators consult per incident and whether cloud use for OT data is allowed. A bounded engagement is a parallel-running evaluation design. Do not repeat the 10% or 15-30 minute figures as results; they are forecasts.","engineering":"Engineering framing: ORAI aggregates telemetry from about 14 systems into a data platform and serves recommendations in Teams with auditable threads. Check one-way OT data export, latency, and how recommendations cite source data. A proof of value is parallel running with logged comparisons between ORAI recommendations and operator decisions.","delivery":"Delivery framing: the owner is the operations control centre manager with OT security. Deliver in stages with assurance gates and parallel running. Proposed acceptance criteria are event assessment time and agreement with operator decisions. Risks are cloud dependency during incidents, stale data and automation bias."},"roleDetails":{"sales":{"customerProblem":"Operators collate data from many systems before assessing an incident.","stakeholders":["Control centre manager","OT security lead","Head of operations","Regulatory compliance"],"discoveryQuestions":["How many systems are consulted per incident?","Is OT data allowed in cloud services?","How are decisions audited today?"],"valueHypothesis":"Pre-assembled evidence may shorten event assessment; to be measured in parallel running.","potentialEngagement":"Parallel-running evaluation design and assurance plan.","unsupportedClaims":["10% compliance improvement","15-30 minute savings achieved","Autonomous incident response"]},"engineering":{"fit":"Utilities with telemetry spread across many systems and cloud approval.","architectureIntegration":"One-way OT data into a cloud data platform, AI recommendations in collaboration tools with audit threads.","prerequisites":["Telemetry data integration","Cloud policy for OT data","Incident history"],"constraints":["Vendor forecasts only","Cloud availability in incidents","UK context"],"security":"One-way export from OT, no write-back, audit logging, tenant isolation.","proofOfValue":["Parallel-run agreement with operators","Assessment time comparison","Audit trail completeness"]},"delivery":{"work":"Integrate telemetry, build recommendation layer, assure, run in parallel.","dependencies":["Data platform","OT security approval","Operator time"],"ownership":"Operations control centre manager.","skillsAdoption":"Operators trained to challenge and document overrides.","governanceCheckpoints":["Assurance before parallel run","Parallel-run review","Go-live sign-off"],"acceptanceCriteria":["Proposed: assessment time reduced against baseline","Proposed: recommendations traceable to source data","Proposed: documented operator override process"],"risks":["Automation bias","Cloud outage","Stale data"]}},"retrievedAt":"2026-11-03T22:05:57-06:00","enrichedAt":"2026-11-03T22:09:49-06:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Reduces manual collation for control-room staff; operators retain decisions.","procurementImplications":"Structured vendor selection preceded build; US utilities would weigh cloud OT data policies.","operatingModelImplications":"Recommendations delivered inside existing collaboration tools change control-room workflow.","sourceVerification":{"openedUrl":"https://www.microsoft.com/en/customers/story/27504-welsh-water-microsoft-foundry","referenceExcerpt":"ORAI provides evidence-led recommendations in Microsoft Teams, while operational teams retain accountability for triage and response.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}