COEUS
Use-case library

AI use cases worth stealing.

Curated across nine industries, scored on value, effort and data readiness. Upvote the ones you’d want at your company.

Anomaly models flag unusual patterns across grant and subsidy payments — duplicate beneficiaries, round-sum clustering, shared bank accounts. Auditors investigate ranked leads instead of sampling, recovering funds that random checks would miss.

Public SectorfinanceMLrisk: medium
Value
Effort
Data

RPA plus document extraction moves permit applications from intake through completeness checks to the right reviewer queue automatically. Median processing time falls by weeks and applicants see live status instead of calling to ask.

Public SectorservicesRPArisk: low
Value
Effort
Data

A retrieval-grounded assistant answers citizen questions about services, forms and deadlines in plain language, in multiple languages, with links to the authoritative page. Contact-centre volume drops and after-hours questions stop going unanswered.

Public SectorservicesGenAIrisk: medium
Value
Effort
Data

Incoming benefit applications are checked for completeness, risk-scored and routed so straightforward cases take the fast lane while complex ones reach senior caseworkers. Backlogs shrink and decisions become more consistent across offices.

Public SectorservicesMLrisk: high
Value
Effort
Data