Board AI Governance Advisory
Governance built for quarterly meetings is now overseeing AI risk that moves daily. The gap isn't awareness anymore — it's readiness.
AI didn't break your governance. It outpaced it.
Large organizations already run hundreds — sometimes thousands — of AI agents making decisions in procurement, finance, and customer operations. Most boards have not reckoned with what that means for oversight.
The structures still assume a human world: quarterly cadence, committee report-outs compressed to minutes, an AI inventory dashboard that answers "what do we have" instead of "what is it doing to our customers, our employees, and our risk of a front-page headline."
And when boards can't ask the right questions, they become over-reliant on the very management they are supposed to supervise. Lozen Advisory exists to break that circle — independent, ongoing counsel as AI governance moves from policy into operations.
Board and committee advisory
Escalation between meetings
AI agent accountability mapping
Decision-trail stress testing
Committee ownership design
Ongoing executive counsel
The questions boards are now being asked
Who manages the AI agents making decisions inside your company?
Who commissioned them, who trains them, who owns their performance, and who has the authority to shut one down? If AI agents function like employees, someone has to manage them — and the board has to know who. We map that accountability chain and surface where it breaks.
Could you produce the decision tree behind an AI-assisted decision — before a regulator or plaintiff compels you to?
Which steps were AI, which were human, who was accountable for each, and is the reasoning stable and defensible? We run this stress test internally, so the first time your organization answers it is not under legal compulsion.
Does your governance cadence match the speed of the risk?
AI risk does not move in quarterly increments, and a two-minute committee report-out cannot carry material AI risk to the full board. We help design the escalation paths, review rhythms, and committee ownership that continuous governance actually requires.
Which ten AI use cases actually matter?
The AI inventory dashboard was last year's exercise. The current question is which use cases are impacting customers, employees, and the company's exposure — and whether the board would see a problem in time. We help leadership shift the conversation from adoption to risk.
How the advisory answers them
Governance readiness review
Test whether current structures could produce a defensible record of who decided, who reviewed, and who was accountable — today, not in theory.
Committee ownership
Resolve where AI oversight actually lives — audit, risk, technology, or full board — and fix the compressed reporting chains that let material risk slip past.
Authority and escalation design
Define who may approve, constrain, escalate, or halt AI-assisted work — including the agents whose workflows hand humans decisions that are already substantially made.
Decision-trail stress test
Simulate the external request before it arrives: reconstruct an AI-assisted decision end to end and find where the evidence trail breaks down.
Independent counsel
Give the board a source of AI governance judgment that does not depend on the management it oversees — the antidote to circular governance.
Board briefings
Translate emerging AI risk into concise decision material between meetings — because directors are now expected to bring continuous judgment, not periodic review.
A clear advisory process
Diagnose
Identify the governance questions your current cadence, committees, and dashboards cannot answer.
Prioritize
Rank the accountability, escalation, and evidence gaps by exposure — starting with the use cases that could put the company on the front page.
Advise
Support leadership as ownership structures, escalation paths, and decision standards are built and put into operation.
Stress test
Run the decision-tree exercise: could the organization show which steps were AI, which were human, and who was accountable — under scrutiny, on demand?
Common questions
Why ongoing rather than a one-time briefing?
Because governance is becoming continuous. AI risk does not wait for the next board meeting, and a point-in-time assessment is stale the quarter after it's delivered. This is the standing advisory relationship for boards that need judgment between meetings, not just at them.
Does Lozen Advisory implement software?
No. Tools do not close these gaps — the tool only works if the operating model evolves around it. The work is governance: accountability, authority, evidence, escalation, and executive decision support.
Who is this for?
Boards, CFOs, General Counsel, corporate secretaries, and risk leaders at organizations where AI is already making or shaping decisions — whether or not the governance structure has caught up.
Request a briefing
Talk to us about board ai governance advisory for your organization — no obligation, and nothing shared outside this inquiry.
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