What is the AI use case?
How exactly is the system intended to be used and in what context?
AI-Gov
From AI use case to governance requirements.
AI-Gov is an early-stage product concept for structured and increasingly automated assessment of AI use cases.
Currently in product validation
ContextUse case & environment
RegulationEU AI Act & beyond
RequirementsObligations & controls
ControlsTechnical & organizational
EvidenceDocumentation & logging
ReassessmentMonitor & update
The problem
Introducing an AI system often triggers questions across Product, Engineering, Legal and Compliance.
Which rules apply?
Which regulatory requirements and standards are relevant?
What needs to be documented?
What must be documented and which evidence is required?
Which controls are required?
Which technical and organizational controls are necessary?
What happens when it changes?
How do we reassess when models, data or intended use change?
Today, much of this assessment still depends on manual interpretation and coordination across different functions.
What we're exploring
1. AI Use Case
Define the system, its purpose and intended use.
2. Context Determination
Understand context, stakeholders and operational environment.
3. Regulatory Classification
Identify applicable regulatory frameworks and categories.
4. Applicable Requirements
Determine specific requirements and obligations.
5. Controls & Evidence
Define controls and collect evidence for accountability.
6. Continuous Reassessment
Reassess when the AI system or its context changes.
AI-Gov explores how concrete AI use cases can be translated into traceable governance requirements, controls and evidence — structured, machine-readable and ready for continuous reassessment.
Currently validating with AI product teams
We are currently speaking with companies that develop or deploy AI-enabled products to understand how AI governance works in practice.
We are particularly interested in how organizations:
- identify and document AI use cases
- determine applicable regulatory requirements
- coordinate Product, Engineering and Compliance
- manage changes to models, data and intended use
- maintain evidence over the AI system lifecycle
If your organization develops or deploys AI systems,
we would be interested in learning how you approach these questions today.
Let's talk
Developing or deploying AI systems?
We would be interested in learning how you currently approach AI governance and use-case assessment.