{"resourceId":"met-police-market-engagement-ai-cctv-video-analytics-contract-march-2027-20261102","versions":[{"version":"external-f35fed114c00014881201023b371f5acf19d7e1eb4c194c2b451f935d9dd9d60","resource":{"id":"met-police-market-engagement-ai-cctv-video-analytics-contract-march-2027-20261102","title":"London’s Metropolitan Police opens market engagement for AI video analytics to cut manual CCTV review, targeting a three-year contract from March 2027","organization":"Metropolitan Police Service (London)","sector":"Policing / AI video evidence analytics","geography":"London, England, United Kingdom","publishedAt":"PublicTechnology, Nov. 2, 2026","publicationDate":"2026-11-02","eventDate":null,"sourceName":"PublicTechnology","sourceLabel":"Met Police plans use of AI video analytics to ‘improve investigative outcomes’","sourceUrl":"https://www.publictechnology.net/2026/11/02/public-order-justice-and-rights/met-police-plans-use-of-ai-video-analytics-to-improve-investigative-outcomes/","evidenceClass":"independent-reporting","outcomeClass":"emerging","topics":["infrastructure","governance-procurement","knowledge-work"],"finding":"PublicTechnology reported on Nov. 2, 2026 that the Metropolitan Police published a planning notice for market engagement on AI-enabled CCTV video analytics, to reduce manual review time and turn video into usable intelligence. Requirements quoted include evidential integrity, interoperability, scalability, lawful and ethical AI use, video ingestion, evidential workflows and integration with future digital evidence management. Suppliers had until Nov. 3 to register and must respond to a request for information by Nov. 16. The Met has not committed to procurement but expects an initial three-year contract from March 2027 with a possible two-year extension to 2032; no value is estimated. The article cites an estimate of about 940,000 CCTV cameras in London.","sledRelevance":"A large force defining AI video analytics requirements around evidential integrity before buying, a template other agencies can compare against.","evidence":"Opened and read the full PublicTechnology article quoting the notice. The notice itself was not opened.","architectureImplications":"Ingestion of mixed public and private CCTV, analytics, and evidential workflows that must integrate with a future digital evidence management system.","governanceImplications":"Lawful and ethical AI use and evidential integrity are stated requirements; how they will be tested is not described.","securityPrivacyImplications":"Large volumes of footage of the public; data protection and compliant use are required but not detailed.","caveats":"Planning stage only; no performance data; secondary report of a notice; UK context.","streamIds":["public-safety"],"roles":{"sales":"Sales framing: the Met is asking the market how AI can cut manual CCTV review, and it leads with evidential integrity and interoperability, not speed alone. The buyer problem is huge volumes of video with limited staff. A bounded engagement could help an agency write comparable requirements and test methods. Do not claim time savings or results; this is a planning notice, no supplier is chosen, and no performance data exists.","engineering":"Engineering framing: the requirement spans ingestion of mixed-format CCTV, analytics, evidential workflows and integration with a future evidence management system. Pre-sales should ask how chain of custody, original-file preservation and audit logs are kept when AI processes footage. A proof of value would measure search recall and review time on real case footage. Constraints: varied private camera formats, storage scale, and disclosure rules.","delivery":"Delivery framing: the work is defining evaluation criteria before procurement and piloting on closed cases. Ownership sits with the digital forensics or investigations lead, with data protection and legal review. Acceptance criteria are proposals: chain-of-custody preserved, measured recall on test footage, documented review-time change, and logging of every AI search. Main risks: unvalidated analytics in evidence, and integration delays with the future evidence system."},"roleDetails":{"sales":{"customerProblem":"Investigators cannot review the volume of CCTV footage collected for cases.","stakeholders":["Investigations or digital forensics lead","Procurement lead","Data protection officer","Prosecutors"],"discoveryQuestions":["How will evidential integrity be tested when AI processes footage?","What review time is spent today per case?","Which evidence system must this integrate with?"],"valueHypothesis":"Shorter video review if analytics are validated on local case footage.","potentialEngagement":"Requirements and evaluation design for AI video analytics procurement.","unsupportedClaims":["Time savings","Improved investigative outcomes","Supplier capability"]},"engineering":{"fit":"Relevant to agencies with large CCTV evidence volumes.","architectureIntegration":"Video ingestion and analytics feeding evidential workflows and a digital evidence management system.","prerequisites":["Original-file preservation","Format conversion","Audit logging"],"constraints":["Private camera format variety","Storage scale","Disclosure rules"],"security":"Preserve originals, log every AI query and result, and restrict access by case.","proofOfValue":["Recall test on known-event footage","Review-time comparison","Chain-of-custody check"]},"delivery":{"work":"Set evaluation criteria, run market engagement, and pilot on closed cases.","dependencies":["Evidence management system roadmap","Storage capacity","Legal review"],"ownership":"Digital forensics or investigations lead.","skillsAdoption":"Analysts need training to review AI-surfaced segments and record their checks.","governanceCheckpoints":["Evaluation criteria approved","Data protection assessment","Legal sign-off before evidential use"],"acceptanceCriteria":["Chain of custody preserved in pilot","Recall measured on test footage","Review-time change documented"],"risks":["Unvalidated analytics used as evidence","Integration delays","Cost overrun"]}},"retrievedAt":"2026-11-03T03:54:35Z","enrichedAt":"2026-11-03T03:57:16Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Aims to reduce officer and analyst time spent trawling footage.","procurementImplications":"Market engagement before commitment, with cost drivers and affordability explicitly explored.","operatingModelImplications":"Video review shifts from manual trawl to analyst review of AI-surfaced segments, if delivered.","sourceVerification":{"openedUrl":"https://www.publictechnology.net/2026/11/02/public-order-justice-and-rights/met-police-plans-use-of-ai-video-analytics-to-improve-investigative-outcomes/","referenceExcerpt":"An AI-enabled video analytics capability [could] reduce manual review time, support investigations, and improve the way video evidence is turned into usable intelligence.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}