{
  "id": "AIBD-0547",
  "title": "Greater Cambridge Shared Planning: AI-Driven Summarisation for Local Plan Consultations",
  "summary": "Greater Cambridge reports that a consultation-summary task fell from 18.5 officer hours to 16 AI minutes while officers still read every response.",
  "date_observed": "2025-07-17",
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  "date_precision": "day",
  "benefit_status": "mixed",
  "source_collection": "LGA AI case-study bank",
  "source_entry": "LGA-007",
  "account": "Greater Cambridge Shared Planning reports that an LLM summarizes consultation comments while planning officers still read every submission. The tool was used in three supplementary-planning-document consultations in winter 2024–25. A summary task reportedly fell from 18.5 officer hours to 16 AI minutes. The reported saving of over 60% does not directly reconcile with those times.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "Summarize planning-consultation representations and identify themes while retaining officer review.",
  "system": "Bespoke planning-consultation LLM with the Opus Consult platform",
  "model_version": null,
  "developer": "University of Liverpool (LLM); JDi Solutions (Opus Consult platform)",
  "deployer": "Greater Cambridge Shared Planning service",
  "location": "United Kingdom",
  "domain": "Planning and public consultation",
  "segment": null,
  "benefit_type": "Improved Organizational Efficiency",
  "taxonomy_note": null,
  "registry_ids": {},
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    {
      "group": "organizational",
      "depth": 1,
      "reason": "The completed summary task and soft launch in three consultations support time savings."
    },
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      "depth": 1,
      "reason": "Less summary-writing work frees officers for analysis and engagement. This is a task-time benefit."
    },
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      "reason": "Improved public participation is intended. Its extent is unknown."
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  },
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    {
      "kind": "report",
      "citation": "Council or project account published in the Local Government Association AI case-study bank. The account provides no independent outcome evaluation.",
      "title": "Greater Cambridge Shared Planning: AI-Driven Summarisation for Local Plan Consultations",
      "url": "https://www.local.gov.uk/case-studies/greater-cambridge-shared-planning-ai-driven-summarisation-local-plan-consultations",
      "date": "2025-07-17",
      "written_by": "deployer",
      "quote": null
    }
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    "produced_by": [
      "The model was developed with 15 years of consultation material, including over 55,000 representations and planning-specific terminology.",
      "It was soft-launched in three supplementary-planning-document consultations in winter 2024–25."
    ],
    "must_hold": [
      "The reported workflow retains officer reading of every representation.",
      "The source does not establish which data or model conditions are necessary to reproduce the reported saving."
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "Greater Cambridge reports faster consultation summaries",
  "metric": null,
  "comparator": null,
  "later": null,
  "value": null,
  "developer_country": null,
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  "unrated_because": null,
  "brief_notes": null,
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  "revisions": [
    {
      "date": "2026-10-22",
      "change": "Added the case.",
      "source": "https://www.local.gov.uk/case-studies/greater-cambridge-shared-planning-ai-driven-summarisation-local-plan-consultations",
      "editor": "AIBD"
    }
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}