AI governance for organizations putting AI to work
We help companies in any industry govern the AI and agents they already use, from inventory and risk assessment to evaluation frameworks and board reporting. Our roots are in marketing measurement and research, where we're building a governed AI platform of our own, so we advise from experience.
Agentic AI governance
Governance for AI agents that act on your behalf, from how much autonomy they get to who reviews their work.
What's included
- Inventory the AI agents you use or plan to use, and the data, tools and decisions each one can reach.
- Set autonomy levels and least-privilege permissions, with human-in-the-loop checkpoints and clear escalation paths.
- Design monitoring, logging and incident response for agent actions, aligned with US federal and state privacy laws, GDPR, the NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
AI evaluation frameworks and metrics
We design how your organization tests and measures its AI systems.
What's included
- Define evaluation goals and KPIs for specific AI use cases: quality, safety, bias, reliability and business impact.
- Design test suites and monitoring plans, from offline tests to online experiments and dashboards.
- Deliver a concise evaluation playbook that product, data and risk teams can follow.
AI governance roadmap and controls
A structured engagement to build or upgrade your AI governance framework, grounded in real work rather than policy slides.
What's included
- Map current AI use and risks against recognized frameworks, including the NIST AI RMF, ISO/IEC 42001 and the OECD AI Principles.
- Define practical policies, roles and checklists for AI projects: risk assessments, approvals, documentation and review cadence.
- Deliver a usable governance roadmap covering the next 3, 6 and 12 months.
AI risk and compliance assessment
A focused assessment of one AI system or a portfolio, from a risk, compliance and measurement perspective. Available as a one-off or on a regular schedule.
What's included
- Review data sources, model usage and documentation against privacy, fairness and emerging regulatory expectations, including US federal and state laws, GDPR and the EU AI Act.
- Evaluate current metrics and monitoring: what's measured, what's missing and where the blind spots are.
- Deliver a risk and readiness report with prioritized actions, suggested KPIs and evaluation improvements.
AI insights and storytelling for leaders
We turn AI-related data and complexity into executive-ready stories and materials.
What's included
- Translate AI metrics, evaluation results and risk analyses into briefings, decks and dashboards for boards and the C-suite.
- Create reusable narrative templates, such as a model launch brief, an AI risk update or an AI impact review.
- Optionally, coach internal leaders on communicating AI metrics and risk to their own stakeholders.
Frameworks we work with
Advisory engagements are led by Maria Domoslawska, founder of DFS-AI and an IAPP-certified Artificial Intelligence Governance Professional (AIGP).
Most AI governance consultants can explain the regulations. We explain them and tell you what they mean for your measurement stack and your next research brief.
- US federal and state privacy laws
- GDPR
- ICC/ESOMAR International Code
- NIST AI Risk Management Framework
- ISO/IEC 42001
- ISO 20252
- OECD AI Principles
- EU AI Act
- IAPP AIGP body of knowledge
Talk to us about your AI governance needs
Tell us where your team is with AI adoption, and we'll suggest the right starting point.