{"resourceId":"edinburgh-uk-motion-ai-generated-complaints-officer-time-20261029","versions":[{"version":"external-0701ed5f34db0762c8c322f60e62826eb3c89d6b4e8e146707cd6c8c8af6c321","resource":{"id":"edinburgh-uk-motion-ai-generated-complaints-officer-time-20261029","title":"Edinburgh councillor's motion seeks counts and resource costs of AI-generated complaints, citing one that took two officer days","organization":"The City of Edinburgh Council","sector":"Council complaints handling and AI-generated public correspondence","geography":"Edinburgh, Scotland, United Kingdom","publishedAt":"Motion for the 29 October 2026 council meeting; document publication date not stated","publicationDate":null,"eventDate":"2026-10-29","sourceName":"The City of Edinburgh Council (committee papers)","sourceLabel":"Council motion in published meeting papers","sourceUrl":"https://democracy.edinburgh.gov.uk/documents/s105022/Item%208.6%20-%20By%20Councillor%20Mowat%20-%20AI-Generated%20Complaints.pdf","evidenceClass":"government-evaluation","outcomeClass":"cautionary","topics":["operating-model","accessibility-workforce","governance-procurement"],"finding":"A motion for Edinburgh's 29 October council meeting asks the Chief Executive to report how many complaints are suspected to be AI-generated, the resource implications, and whether SOLACE or COSLA is coordinating a sector response. It says such complaints can run to thousands of words, may include hallucinated cases and legal references that must be checked, and that one took two officer days to answer, while the council must respond to every point.","sledRelevance":"Why now: scheduled for the 29 October meeting. Adds a named council seeking measurement of AI-generated complaint volume, the inbound side of local government AI that affects staffing regardless of the council's own AI use. Note an LGC overview of the same issue (22 Oct) is already archived; this is a distinct council action.","evidence":"Motion text describing officer experience and Information Commissioner guidance; no data yet.","architectureImplications":"Limited relevance; possible future triage tooling is not proposed.","governanceImplications":"Seeks a formal report and a sector-wide response through SOLACE or COSLA.","securityPrivacyImplications":"Limited relevance.","caveats":"A motion, not an adopted decision; anecdotal single case; no counts yet; publication date not stated.","streamIds":["local-government"],"roles":{"sales":"Framing: AI is raising the cost of answering residents. Edinburgh's motion describes lengthy AI-generated complaints with hallucinated legal references, one taking two officer days. Interpretation: this supports discovery with complaints and FOI teams about volume and handling time, but it is a single anecdote in a motion with no counts, so it cannot justify claims about the scale of the problem or that tooling would solve it.","engineering":"Framing: verification is the bottleneck. Officers must check every cited case and legal reference in long submissions. Interpretation: any technical support, such as citation-checking or point-extraction aids, would need human review because the council must answer every point, and AI tools could themselves hallucinate. No tooling is proposed in the motion, so this is interpretation only.","delivery":"Framing: measure before acting. The motion asks for counts, comparisons and resource implications. Interpretation: a delivery approach would define what counts as a suspected AI-generated complaint, record handling time per case, and compare with ordinary complaints before proposing process or staffing changes, coordinating with SOLACE or COSLA where a sector response emerges."},"roleDetails":{"sales":{"customerProblem":"Complaints teams spend disproportionate officer time on lengthy AI-generated complaints that must be answered point by point.","stakeholders":["Chief Executive","Complaints team","Policy and Sustainability Committee","Legal services","SOLACE and COSLA"],"discoveryQuestions":["How do you identify suspected AI-generated complaints?","What is average handling time versus other complaints?","Which points require legal checking?"],"valueHypothesis":"Bounded: measurement could inform staffing and process; no evidence that tools reduce effort.","potentialEngagement":"A complaint-handling time study separating suspected AI-generated cases.","unsupportedClaims":["Volume or growth rates","That AI triage would cut handling time","Sector-wide figures"]},"engineering":{"fit":"Councils with statutory duties to answer every point in complaints.","architectureIntegration":"Limited relevance; possible point-extraction or citation-check aids with human review.","prerequisites":["Case management data","Definition of suspected AI-generated"],"constraints":["Duty to answer all points","Information Commissioner guidance","Risk of tool hallucination"],"security":"Complaints contain personal data; any tool must stay within council data controls.","proofOfValue":["Test whether citation checks catch hallucinated references on past cases","Measure officer time with and without aids"]},"delivery":{"work":"Produce the requested report on AI-generated complaint volume and resource needs.","dependencies":["Council approval of the motion","Complaints data","Sector input"],"ownership":"Chief Executive's office with the complaints team.","skillsAdoption":"Officers need guidance on handling hallucinated references.","governanceCheckpoints":["Council vote on 29 October","Report to Policy and Sustainability Committee"],"acceptanceCriteria":["Proposed: counts of suspected AI-generated complaints reported","Proposed: handling time compared with other complaints"],"risks":["Misclassifying genuine complaints","Discouraging legitimate AI-assisted complainants"]}},"retrievedAt":"2026-10-25T22:17:08-05:00","enrichedAt":"2026-10-25T22:24:37-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Officer time is the main cost; one response took two officer days.","procurementImplications":"Limited relevance; any triage tooling would follow the requested report.","operatingModelImplications":"Complaints teams must check hallucinated citations and answer every point, changing workload per case.","sourceVerification":{"openedUrl":"https://democracy.edinburgh.gov.uk/documents/s105022/Item%208.6%20-%20By%20Councillor%20Mowat%20-%20AI-Generated%20Complaints.pdf","referenceExcerpt":"one case required two officer days to prepare a response.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}