From uncertainty to a framework
AI Governance & Organization.
Make AI possible with agreements and a structure that work.
- Length tailored to your organization
- C-level, IT, legal, HR & compliance
- In-company, after preparation
Why AI Governance & Organization
Sound familiar?
AI moves faster than the organization.
People are already experimenting with AI tools, but it isn't always clear what is allowed, which data can be shared and who is responsible for decisions. Without a shared framework, uncertainty takes hold: teams wait for approval, risks aren't assessed consistently and opportunities go unused. AI Governance & Organization helps organizations set AI up safely and responsibly.
What we do.
In working sessions tailored to your organization we build a practical governance framework that lets your organization use AI responsibly. Not a theoretical policy document, but workable agreements, roles and decision models that make AI possible.
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01
Setting ambition and principles
We determine what the organization wants to achieve with AI and which principles guide decisions.
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02
Mapping current use and risks
We map existing AI tools, applications, data and risks.
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03
Building an assessment model
We create a practical framework to assess AI tools and use cases on possibilities, risks and preconditions.
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04
Defining roles and responsibilities
We establish who decides, who supports and how AI is organized within the organization.
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05
Translating guidelines into practice
We create workable agreements, tools and decision routes that let people work with AI safely.
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06
Embedding adoption
We determine how communication, support and follow-up are organized so the governance framework actually comes alive.
From intake to impact
How AI Governance & Organization works.
Tailored working sessions, one working governance framework.
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01
Intake and preparation
We get to know your organization.
We map current AI use, stakeholders, existing agreements and points of attention.
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02
Session 1 — Ambition and insight
We set the AI principles and objectives.
We build a clear picture of opportunities and risks.
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03
Session 2 — Framework and organization
We design the assessment model.
Roles, responsibilities and decision-making are established.
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04
Session 3 — Practice and embedding
We translate the framework into practice.
Guidelines, tools and an approach for adoption.
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05
A working governance framework
You leave with a structure that works.
With clear agreements, responsibilities and an approach to roll AI out further.
The outcome
A framework that makes AI possible.
After AI Governance & Organization the organization has clear AI principles, a practical assessment model, roles and responsibilities, and guidelines to build out AI safely and responsibly.
- Clear AI principles
- A practical assessment model for tools and use cases
- Roles and responsibilities
- Guidelines for employees
- An approach for adoption and follow-up
Practical
- Who it's for
- C-level, complemented by IT, legal, privacy, HR, security or compliance. The make-up is matched to the organization's scope.
- Format
- Length tailored to your company. In-company only, after preparation.
- Preparation
- An intake to discuss current AI use, stakeholders and points of attention.
Ready for clear rules of the game?
Make AI a governed capability instead of a latent risk.
In a short intake we discuss your current AI use and determine which stakeholders are needed for a governance framework that works.