The competency graph for professional knowledge
Know who can actually do the work.
Professional profiles tell you what people say they can do. KROG structures competence, verifies evidence, and turns professional knowledge into a graph that people, organisations and machines can query.
We start with law and AI governance — and extend the same model to every profession where competence matters.
The graph, in short
Hover or focus a node to see what it means.
Context, not steps in the chain
Jurisdiction
Where something applies — attached to a credential, licence or action, not a final stage.
Professional admission
A bar admission or other licence, tied to a person and a jurisdiction.
Organisation
Where the person works, and the roles they hold there.
Education
Learning outcomes that map to competences.
Language
The languages the work can be carried out in.
Authority
Who may act — part of the regulated chain, not the competency chain.
The problem
Professional competence is still mostly self-reported.
CVs, profiles and job titles describe people in prose. They rarely tell you whether a competence has been assessed, at what level, against which framework, with what evidence, or whether it is still valid.
AI makes that problem more important, not less.
Who is actually competent?
Not who claims the skill — who can prove it.
Competent at what level?
A keyword is not a proficiency level.
According to which framework?
Competence becomes interoperable when it has structure.
Can a machine verify it?
AI systems need structured competence and authority, not CV prose.
The KROG model
From professional profile to competency graph.
KROG represents professional competence as structured relationships. A person can hold multiple roles, competences and proficiency levels, supported by different forms of evidence and verification.
The result is not another profile database.
It is a competency graph.
The chain
- Person
- Professional role
- Competences
- Proficiency levels
- Evidence
- Assessment
- Credential
- Verified ExpertProfile
As relationships, not as fields
- Person—holds→Role
- Role—requires→Competence @ level
- Competence—supported by→Evidence
- Evidence—assessed into→Credential
- Credential—valid in→Jurisdiction
Learn. Prove. Match.
- Explore courses
Learn
Build competence through courses mapped to professional frameworks, standards and regulatory requirements.
- Get verified
Prove
Turn competence into structured evidence and portable, verifiable credentials.
- Match a need
Match
Describe the competence a task or role requires and match it against verified ExpertProfiles.
See the graph at work
A job title is only the beginning.
Input
AI Governance Officer
- Role
- AI Governance Officer
- Competences
- AI GovernanceAI Risk & AssuranceAI Policy & RegulationData PrivacyRegulatory Documentation
- Level
- EQF 7 / relevant competence levels
- Context
- EU AI Act
- Jurisdiction
- EU / Norway
- Evidence
- Assessment + credential
This is what the match engine does: a title is expanded into structured requirements, and those requirements are compared against verified profiles.
Match against verified expertsWhere we start
Law and AI governance are the first test of the model.
Few professional domains make competence, jurisdiction and authority more consequential.
KROG therefore starts with lawyers, legal engineers and AI professionals working in regulated environments.
Lawyers
Structured legal expertise, jurisdiction and professional admission.
AI professionals
Structured technical and governance competence.
Legal Engineers
Professionals who turn legal and regulatory requirements into structured artefacts, rules and machine-readable systems.
From learning to evidence
A certificate should prove something.
KROG credentials are tied to assessed competence — not course attendance. Exams test the candidate against real artefacts and defined competence requirements.
Platform operator (issuer of its own credentials)
Krog Data Privacy & GovernanceVia Mariöl 317524 ZuozSwitzerlandEvery issued credential carries
- Credential ID
- holder
- competence
- level
- framework or standard
- assessment
- issuer
- issue date
- status
- public verification URL
Competence meets authority
Knowing who is competent is only the first question.
For regulated work, systems must also know who is authorised to act, what rules apply and what happened afterwards.
The chain
- Actor
- Competence
- Authority
- Action
- Record
In KROG's legal infrastructure
- DPS
- Rule
- Jural state
- Authority
- Agent action
- Record
- Status: Available nowConsent Management / Consent API
- Status: In developmentExpanded competency graph and verification infrastructure
- Status: RoadmapQueryable jural state and authority-aware agents
One graph, many professions
Professional knowledge has different vocabularies. The underlying problem is the same.
Law has legal domains and bar admissions. AI has technical roles and competence frameworks. Medicine, engineering, finance, accounting and other knowledge professions have their own roles, qualifications, licences, standards and evidence.
KROG is designed to connect those domain-specific vocabularies through a common competency graph.
- Status: Available now
Law
First domain
- Status: Available now
AI governance
First domain
- Status: Future domains
Other knowledge professions
Not supported today
Only law and AI governance are implemented. The other professions show the direction the model is built for — they are not available.
Verification starts with the verifier.
KROG separates claims, evidence, assessment and issued credentials so users can see not only what is asserted, but how a competence was established.
About KROGPlatform operator
Krog Data Privacy & GovernanceVia Mariöl 317524 ZuozSwitzerlandResponsible person
Georg Philip Krog
Turn professional knowledge into verifiable infrastructure.
Newsletter
Platform updates
What ships on the KROG network — verified expertise, issuers, and the engine behind them. Course announcements live on their own list.