Everyone has an opinion about AI. Few can defend a business case for it. We build yours before you spend on tools or headcount.
Security leaders are being asked where AI fits, which use cases are worth funding, and how the board will measure value and risk, often before any governance structure exists to answer those questions. Tools get purchased ahead of the controls that should govern them. Use cases get funded on enthusiasm rather than return. Leadership gets disconnected signals about what AI is doing and what it costs, with no way to connect the dots.
That’s a decision problem, not yet a control problem. Before you write policy, you need to know what you’re actually trying to do with AI, what it’s worth, and whether your organization is ready. Healthcare is a trust relationship, and AI adoption in a covered entity or business associate environment has to respect that from the first decision forward, not from the first policy draft.
Project-based, with a defined start and end. We stay tool-agnostic throughout; we advise on the program, not on which vendor to buy.
Where your organization actually stands on AI readiness, not where you assume it stands
A strategy for integrating AI into your cybersecurity function specifically, anchored in NIST AI RMF, ISO/IEC 42001, and HITRUST AI.
Ranked by ROI, so funding follows value instead of enthusiasm.
The KPIs leadership will use to judge the program, metrics your governance program then operationalizes and tracks day to day.
Most AI advisory in healthcare is either a governance framework handed over as a document, or a technology evaluation that ignores how care is delivered. We do the part in between: turning AI ambition into a funded, sequenced plan before a single policy gets written.
Our advisors are former healthcare CISOs and Chief Privacy Officers. They’ve sat where you sit, which is why the strategy accounts for a lean team, an existing HIPAA and HITRUST workload, and a board that will ask what the investment bought. Because we also run AI security assessments and AI SafeGuard™ penetration testing, the roadmap we write is one we can actually execute against, not one written by a firm that’s never tested a model.
Yes. That’s what this engagement is for: a readiness picture, an ROI-ranked set of use cases, and a plan, before you invest further.
We advise on the strategy and stay tool-agnostic. Guidance is shaped by your environment and goals, not a vendor relationship.
This engagement decides what to build and whether it’s worth it. AI Governance Program Development builds the policy and control machinery once you’ve decided to move. Most clients do this one first, then Governance.
Schedule a 30-minute conversation to walk through your current AI footprint and identify where to start.
