Consulting
A practical path to using AI based on judgment, responsibility, and risk.
AI decisions affect decision quality and accountability, employee trust and performance, and data use, privacy, and reputation.
The emphasis is decision-making - not adoption. We focus on what leaders should approve, document, and govern before scaling use.
What we do
- Clarify constraints and risk posture
- Identify high-leverage use cases
- Create evaluation criteria for tools and vendors
- Define what must remain firmly human
What you get
- Decision framework and rubric
- Stakeholder-ready language
- Governance questions and decisions list
- Action plan with owners and timelines
Good fit when…
- AI adoption is happening informally
- Leadership decisions have immediate operational impact
- There’s limited margin for error or rework
Typical engagement options
- Virtual Executive Workshop (90 minutes): fast alignment and decision framing.
- In-person Half-day Working Session: scenario analysis, prioritization, and documented next steps.