AI Governance Advisory
Your organization uses AI. Now someone needs to be accountable for the way how AI is used.
Who decides what AI can and cannot do in your organization? Who is accountable when AI-generated outputs are wrong? What does your organization's AI use look like to a regulator, a donor, or a board? These are management questions, and most organizations don't have the answers yet.
What makes this different from IT governance or legal compliance work
IT teams govern the technical implementation of AI.
Legal teams govern the regulatory exposure.
InStar governs the management layer: accountability, decision rights, oversight culture, and organizational behavior. These three layers need each other, but they are not the same work.
We work alongside your IT and legal teams.
For organizations where AI governance has stopped being optional
- →C-suite and senior leadership responsible for AI strategy and accountability
- →Legal, compliance, and risk functions navigating EU AI Act requirements
- →PMO directors building governance for AI-augmented project portfolios
- →HR and L&D leaders defining AI use policies for their organizations
- →International NGOs and European organizations where AI governance intersects with donor accountability and regulatory requirements
- →Organizations that have deployed AI tools without yet establishing who is responsible for overseeing them
Five areas of work. Scope is defined after diagnostic.
AI Policy Development
A clear, practical policy that defines how your organization uses AI: what is permitted, what requires approval, what is prohibited. Written for your specific context: your industry, your stakeholders, your risk profile. Not a generic template. A document your leadership team can actually stand behind.
Governance Framework Design
Who in your organization is accountable for AI decisions? What oversight mechanisms exist? How are AI outputs reviewed before they affect stakeholders? We design the accountability structures, review processes, and escalation paths that make AI governance real rather than nominal.
AI Risk Management
AI introduces risks that traditional frameworks weren't built for: algorithmic bias, data confidentiality, hallucination in consequential outputs, reputational risk from AI errors. We map these risks for your specific AI use cases and design proportionate, practical responses.
EU AI Act Readiness
For European organizations and Novennia clients. The EU AI Act is now in force. Organizations operating in the EU - or processing data of EU residents - need to classify their AI systems, meet documentation requirements, and establish human oversight mechanisms. We assess your compliance position and build a roadmap to meet requirements without building unnecessary bureaucracy.
Responsible AI in Practice
Beyond compliance: how does your organization ensure AI is used ethically - in ways that align with your values, your stakeholder commitments, and your mission? This is particularly critical for NGOs and donor-funded organizations where trust is the primary asset.
What changes
- ✓Your organization can answer 'who is accountable for AI here' - clearly, at every level
- ✓Leadership can make decisions about AI adoption and use with a governance framework to stand behind
- ✓Your AI risk profile is mapped, understood, and proportionately managed
- ✓For European clients: EU AI Act compliance is documented and defensible
- ✓Your staff understand what responsible AI use means in practice - not as a policy document, but as a behavior standard
Upcoming courses, workshops and webinars
Practical training from experts. Choose your track: from management foundations to AI mastery.
Ready to discuss this engagement?
Start with the AI Readiness Assessment or book a scoping call directly. We respond within 1 business day.
Price: on request · We share accountability for results.