AI workflows for consequential operational work.
Deploy controlled workflows for investigations, document assessment, triage and operational intelligence - without having to build and validate them yourself.
Tested on real operational records. Measured improvements. Human verification retained.
Five operational workflows. Five tangible outputs.
Start with the work that needs improving, not the technology.
Controls belong inside the workflow.
A practical example: assessing a risk assessment and method statement (RAMS).
The assessment supports the reviewer; responsibility for acceptance and follow-up remains with the designated person.
Where the engineering responsibility sits.
Unauthorised-access investigation
Access-control records reconciled to identify cases for investigation. CCTV review and final verification remained with a human reviewer.
Identification results are from a customer sprint. Time comparisons are estimates based on average durations, not independently verified production benchmarks. The 20-minute estimate includes human CCTV review and final verification. Customer identity withheld pending approval.
Evidence from established deployments.
These outcomes are from established SIRV operational deployments. They are not all SIRV AI outcomes.
UKRI / STFC
Operational reporting
DLR
Activity records and proof of presence
Aon
Compliance reporting
Turn the records you already collect into usable operational intelligence.
Incident reports · daily occurrence book · access logs · operational procedures · location information
Priorities · assessments · timelines · verified decisions · actions · learning
Choose one important operational task. Test it. Measure the outcome.
Agree the sources, expected outputs, review points and measures of success before deployment.