CareerID

Introduction

Most workforce decisions are made on incomplete, fragmented data.

Skills, evidence and career history sit across CVs, HR systems, LMS, performance reviews and 360s — captured inconsistently, integrated shallowly, and lost when someone leaves.

CareerID is the evidence layer for workforce capability — owned by individuals, used by organisations with consent.

Workforce data is broken — and the cost is rising.

A structural shift — with no clear infrastructure owner yet.

Global Market Context

$42B$78B

HR Technology market

2025 → 2031 · Mordor Intelligence

$2.4B$7.1B

Workforce Analytics market

2025 → 2034 · Fortune Business Insights

63%

of employers cite skills gaps as their biggest barrier to transformation

WEF Future of Jobs 2025

39%

of core job skills will change by 2030 — requiring real-time capability data

WEF Future of Jobs 2025

Organisations are investing heavily in workforce intelligence. Skills identity is the missing piece. CareerID builds it.

One architecture layer. Four connected outcomes.

Workforce Reporting & Compliance

Audit-ready skills data as regulation tightens across financial services, public sector and large employers.

Skills Gap Intelligence

Real-time view of capability versus strategy — plan hiring, development and restructuring against actual data, not job titles.

Skills Visibility & Retention

Make skills visible across the organisation. Deploy and develop talent rather than lose it to external hiring cycles.

Fairer, Faster Hiring

Skills-based screening broadens the talent pool and surfaces capability that CVs miss — including career changers.

Built for the regulated workforce

Across the regulatory frameworks reshaping financial services and large employers, the underlying requirement is the same — structured, evidenced, individual-owned data about workforce capability.

SMCR and certification regimes

Annual fitness and propriety attestation requires evidence of capability, conduct and ongoing development per certified person. CareerID's evidence architecture can be configured to support that — individual-level, time-stamped, human-signed.

Gender Pay Gap and EU Pay Transparency

The calculations are straightforward. Explaining why the gap exists — skills development, progression pathways, capability — is the harder question. Structured workforce evidence is part of that picture.

Social mobility reporting

Frameworks like the Social Mobility Employer Index ask employers to demonstrate progression for people from non-traditional or lower socioeconomic backgrounds. CareerID is skills-based rather than job-title-based, and captures socioeconomic context at onboarding — so the evidence is there to surface.

EU AI Act and AI governance

The Act applies to AI used in employment and people decisions. Governance, human oversight, and documentation are required. CareerID is built on AI assisting, not deciding — every claim, share and change is signed off by the individual.

Digital ID wallets (eIDAS 2.0)

The European Digital Identity framework will require portable, verifiable, individual-owned credentials — including skills and qualifications. CareerID's data model is individual-owned and structured for interoperability with emerging credential standards.

Workforce reporting (CSRD, ISO 30414)

Sustainability and human capital reporting frameworks require structured, evidenced data on workforce capability and development. Skills-based, evidence-anchored data — like the kind CareerID captures — is the foundation those reports need.

CareerID does not claim to solve any of these frameworks. It provides the evidence layer they all require — by design, not by retrofit.

Portable by design. Regulatory-ready from day one.

CareerID is not another HR tool. It's identity infrastructure — sitting alongside existing systems as the connective layer between individuals, employers and the broader labour market.

Individual ownership

Consent-controlled data model. Individuals own their record. Employers access by permission.

Standards-aligned

Designed for interoperability with public labour market infrastructure (eIDAS 2.0, W3C Verifiable Credentials).

Integrates, not replaces

Built on a portable, versioned schema designed for interoperability.

AI-assisted, not AI-decided

AI surfaces evidence and insight. Humans retain every decision. Ethical by architecture.


Stephanie Thompson FCIPD is a workforce strategy and people transformation leader with over 20 years across financial services, executive search and organisational capability.

CareerID was built to address a structural problem she observed directly: organisations making critical workforce decisions on incomplete, fragmented skills data — and individuals unable to make their real capability visible.