Career intelligence for your workforce
See capability gaps, role risk and workforce readiness clearly.
Understand which skills to develop, where roles are exposed and how workforce readiness changes — with evidence and provenance behind every finding.
Pricing is indicative; payment is arranged by invoice.
Programme outcome report
Cohort 04 · sampleBaseline health
41
Current health
63
Baseline readiness
28%
Current readiness
61%
Participants with confirmed evidence
72%
Participants at interview stage
44%
Every recorded change carries provenance: what was done, when, and by whom.
Workforce questions
Move from broad workforce concern to named capability action.
The principal view is the requirement and evidence behind it — not an opaque score or a recruitment-only dashboard.
Where are the capability gaps?
See which role requirements are evidenced, partial or genuinely missing across an authorised cohort.
Which roles are at risk?
Understand where critical role requirements depend on thin evidence or limited internal capability.
What skills should we develop?
Connect development priorities to named occupational requirements rather than a generic course catalogue.
How is readiness changing?
Remeasure with the same disclosed method and trace movement back to recorded evidence.
Who we work with
Different funders. One operating model.
Commissioners fund cohorts; education and training partners deliver provision; employers fund their own people. The platform underneath — and the individual's control of their record — is the same in every case.
- EmployersMobility, transition and development across your own workforce — with no employee ranking, ever.
- Public sector & employability programmesEmployment support with a disclosed method and an auditable result, built for the cohorts generic tools serve worst.
- Outplacement, education & training providersDeliver funded programmes in the Professional workspace, with member permission and attributed input.
Intelligence you can explain
Advanced AI inside a controlled, evidence-based and auditable framework.
CareerPathIQ combines structured career evidence, SOC and ESCO occupational intelligence, deterministic rules and advanced reasoning. Material findings can retain their evidence basis for review, while the accountable decision remains human.
Decision-support architecture
- 01
Candidate evidence
- 02
SOC / ESCO intelligence
- 03
Deterministic rules
- 04
Advanced AI reasoning
- 05
Explainable findings
- 06
Human decision
Evidence first
Recorded career evidence and explicit role requirements establish what is known before interpretation.
Explainable by design
Important findings should show their evidence basis, reasoning and uncertainty.
People remain accountable
CareerPathIQ supports review and judgement. It does not make the consequential decision.
Funded cohorts
Baseline, intervention and remeasurement, with provenance behind every number.
Employability funding is judged on outcomes, but most reporting measures attendance. This measures career health, readiness and movement — baselined at the start, remeasured at the end.
Career health
Direction, evidence, market, transferability and readiness — measured deterministically, so the same inputs always give the same result.
Target readiness
Requirement-level fit against real roles, so progress is specific rather than a general feeling of confidence.
Movement
Applications, interviews and outcomes tracked in the participant's own record.
Baseline
Measured before any intervention
Intervention
Digital and human support recorded
Remeasure
Same method, so change is comparable
Cohort distance travelled
IllustrativeCareer health (+22 avg.)
Target readiness (+33pp avg.)
Applications submitted
Interviews reached
Illustrative cohort visualisation. Bars represent aggregate movement, not individual measurements or rankings.
Public sector
Explainable to the participant, not just the commissioner.
If a decision about someone's future cannot be explained to them in plain terms, it should not be automated. CareerPathIQ measures and explains — the judgement stays with the adviser.
Meaningful human involvement
The platform produces a measurement and an explanation. It does not decide, rank for exclusion, or replace an adviser's judgement.
Designed to support transparency
The method, occupational sources and governance approach can support customer due diligence and public-sector algorithmic transparency assessments.
Written for the hardest cohorts
Long-term unemployed, prison leavers, returners, career changers and military leavers — people whose evidence rarely fits a keyword filter.
- 1
Where am I now
The participant's evidence, structured from their own account — including experience conventional CVs miss.
- 2
Where could I go
Occupational exploration grounded in a published taxonomy, with realistic requirements attached.
- 3
What is holding me back
Named gaps: evidenced, partial, or genuinely missing. No invented weaknesses.
- 4
What should I do next
A next action the participant can understand, repeat back, and own.
Deterministic method
Disclosed, fixed weighting — the same inputs always give the same result.
Auditability
Every result can be traced back to the participant's own evidence.
Data ownership
The participant owns their record and can export or delete it.
No model training
No participant data is used to train models.
Programme contexts
- Restart and employability programmes
- Prison leaver and justice employment services
- Military resettlement and veteran support
- Local authority adult careers services
What we will not do
- Rank or score participants for sanction or exclusion
- Automate any decision about a person's future
- Lock participant records inside a provider contract
Education & training
Provision mapped to genuinely named gaps.
Every development gap is expressed as a specific occupational requirement from a published taxonomy — a concrete learning need, surfaced while the participant is actively motivated to close it.
Gaps in occupational terms
Each gap is a specific requirement from a published taxonomy — mappable to real provision rather than vague categories, and surfaced at the moment of motivation.
Closed loops
Completed learning becomes recorded evidence, and the readiness measurement re-runs. Finishing a course does not move the measurement by itself — it moves once the requirement is genuinely met and recorded.
Training and outplacement providers deliver this work directly with clients in the Career Professional workspace.
Commercial model
Start with a pilot, then scope the programme together.
Pilot
From £7,500
Up to 50 people, 3–6 months
- Baseline and remeasurement
- Aggregate outcome reporting
- Method walkthrough for your team
After the pilot
Request proposal
Bespoke organisational pricing
- Full member platform during the programme
- Participant keeps the record afterwards
- Human expert sessions added where funded
Framework
Bespoke
Multi-cohort or multi-provider
- Consolidated reporting across providers
- Consistent measurement method throughout
- No payment-by-results scoring of individuals
- 1
Agree the measures
Which dimensions matter for this cohort and funder.
- 2
Baseline
Career health and readiness before any intervention.
- 3
Deliver
Digital support plus funded human expert sessions.
- 4
Remeasure & report
Identical method, so distance travelled is comparable. Participants keep their own record.
IllustrativeIndicative pricing. Payment is arranged by invoice.
Aggregate insight, private records
Funding changes access. It never changes control.
This is the line that makes organisational career support actually work: people engage honestly only when they know the record is theirs. You get aggregate insight into the programme — never a window into an individual.
What an organisation never sees
Stays private to the individual
- Private career exploration or discovery results
- Unshared CVs, evidence or coaching notes
- Any ranking, scoring or selection output — none is produced
What an organisation can see
Aggregate, and only what is authorised
- Aggregate participation and progress reporting
- Operational status of a funded programme
- Outputs the person has explicitly authorised
Every participant gets Hudson as their guide — plain-language next steps between any human support you fund, drawn from their own evidence, never a script.
Tell us what you are trying to achieve.
A funded cohort, a public-sector programme or an education and training partnership — we will map it to the right approach and show you the measurement running on a real role.

