CareerPathIQ for Public Sector
Advanced AI without the black box.
CareerPathIQ helps public-sector organisations use advanced career and workforce intelligence while retaining evidence, transparency and human accountability.
Explainable by design • Evidence traceable • Human controlled • Auditable • UK focused
Decision support, not decision replacement
Evidence and reasoning stay available for scrutiny.
Structured records and occupational intelligence establish what is known. Rules test what can be determined. AI supports interpretation. People remain accountable.
Built for accountable organisations
Career intelligence for services, programmes and workforces.
Government departments
Local authorities
NHS & healthcare
Employment & employability programmes
Education & training
Economic development
Public-sector workforce teams
These are the kinds of organisation CareerPathIQ is designed for. Listing a sector does not imply a partnership with, or endorsement by, the NHS or any other public body.
How CareerPathIQ works
A governed path from evidence to accountable outcome.
Each layer has a distinct job. Generative reasoning does not replace structured evidence, occupational intelligence or deterministic checks.
Decision-support architecture
- 01
Career Evidence
- 02
Structured Career Record
- 03
SOC + ESCO + Role Intelligence
- 04
Deterministic Rules
- 05
Evidence Analysis
- 06
Advanced AI Reasoning
- 07
Explainable Finding
- 08
Human Review
- 09
Auditable Outcome
Evidence before opinion
Establish what is known before asking AI to interpret it.
CareerPathIQ structures recorded career evidence, checks relevant occupational frameworks and applies deterministic rules before generative reasoning is used. This keeps facts, interpretation and uncertainty visible as different things.
The operating sequence
- 1. Record and structure the available evidence.
- 2. Establish role expectations and explicit requirements.
- 3. Apply repeatable checks where the rules are known.
- 4. Use AI where contextual interpretation adds value.
- 5. Present the finding and its basis for human review.
Explainable by design
Show why a finding was reached.
This illustrative product concept shows how a material finding can be connected to recorded evidence and the role AI played. Availability is confirmed for each implementation.
Requirement
Five years’ programme management experience
- Evidence identified
- Programme Manager — ABC Ltd, 2018–2024
- Source
- Career Record
- AI involvement
- Interpreted relevance of recorded responsibilities
- Human review
- Available
Illustrative interaction, not a live assessment.
Human decisions remain human
Support professional judgement without displacing accountability.
CareerPathIQ can support interpretation, evidence review, gap identification and professional judgement. It is not a substitute for statutory responsibilities, due process or the accountable decision-maker.
- Review evidence and the reasoning behind material findings
- Identify missing evidence and clarification needs separately from genuine gaps
- Record human review and material activity where agreed
- No silent or autonomous consequential employment decisions
Designed for scrutiny
The controls procurement and governance teams expect to examine.
Public Sector Transparency & Assurance Pack
Due-diligence material for informed scrutiny.
Documentation is available to support public-sector algorithmic transparency requirements and can support customer due diligence. It is not a claim of government approval, accreditation or legal compliance.
- System overview
- AI model/use register
- Data-flow / architecture summary
- Human oversight statement
- Explainability statement
- Data governance and security information
- Fairness/testing approach
- Model/change governance
- Audit capability
- Information that can support DPIA and algorithmic-transparency assessments
Bring your scrutiny questions early.
We can discuss the intended use, evidence boundaries, human controls and assurance material before a pilot is scoped.