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.

What is the AI use case?

How exactly is the system intended to be used and in what context?

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. The concept does not provide legal advice or binding regulatory classification.

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. Our current validation focus is German companies with 50–249 employees.

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.

[email protected]

Send us a message

We will get back to you as soon as possible.

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