AI advising
We help leadership decide where AI is worth funding, check whether the data underneath is ready, and set the rules for how your team uses it.
The problem
Most organizations have been told to do something with AI. Staff are already using chatbots on their own, vendors are pitching pilots, and nobody has decided which uses are worth paying for or what data is safe to share. The expensive mistakes come from funding a use case before checking whether the data behind it can support it.
What we deliver
- Candidate use cases ranked by value, risk and the readiness of the data behind them
- A data-readiness review that names the cleanup each use case depends on and what it would cost
- An AI use policy covering approved tools, data handling and review steps
- An inventory of where AI is already in use across your team
- A clear recommendation on what to start, what to wait on and what to skip
We will tell you when AI is the wrong answer. If the assessment points to a build, we can scope it with you or hand the plan to your own team.
Where it applies
- Mid-sized companies
- A short list of AI use cases ranked by value and risk, with the data work each one depends on.
- Nonprofits and foundations
- A practical AI use policy and a plan sized to a small team's budget.
- Research organizations
- A review of which datasets are ready for AI and which need cleanup first.
- Government agencies
- An independent readiness assessment and AI use policy from an advisor with no stake in the build that follows.