The review your AI initiative needs before the board asks the question you cannot answer.
A senior diagnostic review conducted by Bradley W. Petersen. Forty years of risk analysis. Active doctoral research on the architecture of high-stakes decisions.
When an AI initiative goes wrong in a high-stakes environment, the failure is almost never technical. The model worked. The data was there but the edge cases were never tested. The vendor delivered. What failed was the architecture around the model. The roles that were not staffed. The decisions that had no clear owner. The failure modes that had not been mapped. The accountability that was assumed but never assigned.
I look at where your AI investment is structurally exposed before those gaps become public. I have spent forty years doing risk analysis and failure mode review across healthcare, financial services, retail, transportation, energy, and technology. More than a thousand healthcare organizations advised. The diagnostic framework is published in When AI Fails. The application of it to your specific situation is the review.
You and your team decide what to do about what I find. The review identifies the gaps with precision. The decisions remain yours.
Track record
I helped build the risk analysis and management protocols used by the world's largest consulting firm.
I have found multi-million dollar fraud and embezzlement after audit partners told me it did not exist.
I have found major flaws in critical system implementations after CIOs told me they did not exist.
I have turned around multiple hospitals from the brink of bankruptcy.
When to call
Your instinct is telling you something is wrong, and you cannot yet say what.
You are about to commit significant capital to an AI initiative and want a senior outside read before you sign.
Your initiative is in flight and the board has started asking questions you cannot fully answer.
Your CIO and your operating leadership are in disagreement about who owns the AI decision, and the disagreement has not surfaced in a way that can be resolved internally.
You are early enough to do this right, and you want to design the architecture before you build the system.
You have read When AI Fails and recognized your organization in it.
What the review examines
The role architecture: who is accountable, who is consulted, who is informed, and where those assignments are missing or incoherent.
The failure modes: where this initiative breaks if specific things go wrong, and which of those failures has a named owner.
The decision rights: which decisions sit where in the organization, and which decisions are currently unowned.
The escalation path: how problems surface, who they reach, and how fast.
The board-facing exposure: what will be asked when this initiative is questioned, and whether the answers exist.
What you receive
A working session with your leadership team. A written diagnosis identifying the gaps and the failure modes that follow from them. An executive summary at the level the decision requires. A debrief with your team that gives them something they can act on.
Engagements are scoped individually.
When you absolutely have
to get the decision right.
100% of the time, 24 hours a day, 365 days a year. When getting it wrong means financial loss, customer loss, reputational loss, or worse, regulatory shutdown.
Call me. I can help.