AI system
- System
-
Microsoft Azure AI proof of concept for semantic search and automatically generated eco-maps in Liquidlogic LCS records
- Model
-
Not assessed
- Release
-
Not assessed
- Application developer
-
North Yorkshire Council using
Microsoft Azure AI - Role
-
Not assessed
- Configuration
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Not assessed
- Inputs and outputs
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Not assessed
- Autonomy
-
Not assessed
- Workflow
-
The project uses existing Liquidlogic case-management material, including notes, forms, and images. It was supported by the Department for Education’s Data and Digital Solutions Fund and evaluated as a proof of concept.
- Human oversight
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Not assessed
- Relation to AI
-
The proof of concept uses AI to search structured and unstructured case information and generate relationship maps. The reported 90% reduction concerns selected test tasks, not established production-wide savings or improved safeguarding outcomes.
- AI contribution
-
The proof of concept uses AI to search structured and unstructured case information and generate relationship maps. The reported 90% reduction concerns selected test tasks, not established production-wide savings or improved safeguarding outcomes.
Benefits
- Outcome identifiers
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Not assessed
- Benefit
-
North Yorkshire reports 90% less time and cost for some data-retrieval tasks in its Azure AI proof of concept, plus relationship-mapping tools.
- Category
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Improved Knowledge Discovery
- Status
-
Reported and intended benefits
- Beneficiary groups
-
Organizations. People.
- Beneficiaries
-
Not assessed
- Reach
-
Not assessed
- Distribution and access
-
Not assessed
- Duration
-
Not assessed
- Expected?
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Yes
- Costs and harms
-
Not assessed
Measurement
- Studies
-
Not assessed
- Study design
-
Not assessed
- Measurement
-
Not assessed
- Setting and sample
-
Not assessed
- Measures
-
Not assessed
- Comparison
-
Not assessed
- Results
-
Not assessed
- Additional value from AI
-
Not assessed
- Limitations
-
Not assessed
- Denominators
-
Not assessed
- Materials for replication
-
Not assessed
Money
- Kind of value
-
Not assessed
- Amount
-
Not assessed
- Currency and prices
-
Not assessed
- Period and unit
-
Not assessed
- Realization
-
Not assessed
- Recipients and payers
-
Not assessed
- Gross or net
-
Not assessed
- Included costs
-
Not assessed
- Comparison
-
Not assessed
- Method
-
Not assessed
- Return and payback
-
Not assessed
People and places
- Participants
-
Developer: North Yorkshire Council using
Microsoft Azure AI. Operator: North Yorkshire Council. - Jurisdictions
-
Benefit:
United Kingdom. - Ownership and control
-
Not assessed
- Dependencies
-
Not assessed
- Cross-border connections
-
Not assessed
- Geopolitical implications
-
Not assessed
Follow-up
- Conditions for replication
-
The conditions needed to reproduce the benefit are unspecified.
- Replication attempts
-
Not assessed
- Later findings
-
Not assessed
- Availability
-
Not assessed
- Institutional decision
-
Not assessed
- Grounds
-
Not assessed
- Action and result
-
Not assessed
- Success criterion
-
Not assessed
Evidence
- Source numbers
-
AIBD-0557-source-0001
- Citations
-
Numbered references below.
- Language
-
Not assessed
- Source relationships
-
Operator
- Original evidence
-
Not assessed
- Access and versions
-
Not assessed
- Supported findings
-
Not assessed
- Evidence links
-
Not assessed
- Evidence strength
-
Not assessed
- Missing evidence
-
Not assessed
Grades
- Assessed benefits
-
Organizations. People.
- Depth
-
Organizations: 1. People: 1.
- Reasons
-
Organizations: Selected retrieval tasks reportedly cost less and take less time in testing. Savings across deployed services are unmeasured. People: Faster retrieval and automatic relationship maps reduce effort on the tested tasks. Improved child safety is not established.
- Observed or intended
-
Reported and intended benefits
- Rubric
-
Not assessed
- Assessor and date
-
Not assessed
- Alternative assessments
-
Not assessed
- Fill
-
The deployer's account
Entry details
- Kind
-
Not assessed
- Related entries
-
Not assessed
- Field
-
Children’s social-care information management.
- Purpose
-
Improve retrieval and interpretation of children’s social-care records, including relationships among people and cases.
- Dates
-
Source published: 3 February 2025. Updated: 22 October 2026.
- Stage
-
Not assessed
- Version
-
SHA-256: 47b679204a3b…
References
- Other identifiers
-
LGA AI case-study bank. LGA-021.
- Category mappings
-
Not assessed
- Brief
-
Not assessed
- Revisions
-
1 revisions. Latest: 22 October 2026.