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Artificial Intelligence in Law Enforcement
Control rooms

AI Analysis of Control Room Call Content

AI that analyses the content of recorded police control room calls after the fact, to surface vulnerability indicators, repeat-caller patterns and whether required advice was given.

This is distinct from call triage, which acts in real time to route a caller, and from transcription, which only converts speech to text. Post Call Analysis examines what was actually said across recorded calls and produces structured intelligence from it.

The system records and transcribes control room calls inside a police-controlled environment, then auto-summarises and categorises them by topic, analyses repeat-caller patterns rather than raw call counts, identifies indicators of vulnerability not captured in operator notes, and checks whether crime prevention and forensic preservation advice was given. Outputs come with plain-language explanations, and operational decision-making remains with trained staff.

West Yorkshire Police became the first force in England and Wales to put the capability live, announced in March 2026. It was developed jointly with the National Police Chiefs' Council Digital Public Contact programme rather than bought from a commercial vendor.

During pilot testing the force reported that the system identified 21 percent more calls containing indicators of hidden vulnerability than its previous process. That is a force-reported pilot figure rather than an independently replicated result and should be read as such.

The underlying proposition is worth stating plainly: a control room generates a very large volume of recorded speech that has historically been reviewed only in samples or after something went wrong. Analysing all of it changes what a force can know about its own contact with the public, in both directions.

Related subject: Emergency Response and Control Rooms

Where this is deployed

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CountryForceStatus
UKWest Yorkshire PoliceWest YorkshireOperational