Move fast on AI, with oversight you can defend.
Risk Governance Group helps boards and executives build and mature the oversight and risk governance programs that let them take risk on AI with confidence.
-
Oversight governance Where we start
What is governed. Who is accountable.
Charter, named accountability, tolerance, authority to operate, the record.
-
Management
The activity, not the rank.
Objectives, policy, risk assessment and treatment, vendors, training, response.
-
Technical controls
What the system does.
Security, data, model validation, guardrails, access, logging, fail safe logic.
The gap regulators, courts, and shareholders are now looking at
AI is moving faster than the governance around it. Most organizations have policies, committees, and technical controls. Few can show, at the board and executive level, who is accountable for what, how decisions get made, and why those decisions were informed. We close that gap.
Three engagements. One program.
Every engagement is scoped to one of these, led by Brian Allen, and delivered by senior practitioners assembled for it. Each one states which layer of governance it addresses.
Assess
Oversight layerWe measure where your oversight program stands today against what regulators, case law, and standards now expect of boards and executives. You get a plain statement of what exists, what is missing, and what matters most.
Build
Oversight and management layersWe help you stand up the program: the charter, the accountable roles, the reporting cadence, the risk tolerances, and the escalation paths that turn oversight from a committee into a working system.
Mature
Oversight layerWe stay with you as the program grows, so oversight keeps pace with how fast your organization is adopting AI, and your board can show it made informed decisions at every step.
Mature oversight is how you move faster
Most organizations are putting AI on top of the governance processes they built for cyber: built for protection, slow to approve, focused on what can go wrong. That cannot keep pace with AI. When governance is only compliance and downside, the business routes around it, or it stalls. Moving slowly is a risk too. A competitor that moves faster can take your place.
Tolerances are decision points
A tolerance set by the board tells your people how far they can go without asking. Clear tolerances let decisions happen faster.
Escalation by design
A risk outside tolerance should reach the right person before it becomes an incident, through a defined path rather than through relationships.
Decision-making AI needs this most
As agents begin acting without approval of every step, the question shifts from whether a human touched the decision to whether the process around it was adequate.
The program outlasts the technology
Ad hoc controls turn every new use case into a scramble. A chartered program, built from the oversight layer down, holds steady as the technology changes.
The goal is not the right decision every time. The goal is an informed decision, made through a process you can defend at the scale of the risk.
We call this the Informed Decision Standard. Every engagement is built to meet it.
A firm built from people who have held your roles
Risk Governance Group is deliberately small and deliberately senior. Every engagement is led by Brian Allen, former Fortune 100 Chief Security Officer and former head of emerging technology risk at the Bank Policy Institute, and delivered by practitioners who have served as chief risk officers, chief information security officers, chief audit executives, regulators, and policy leaders.
We assemble the team to fit the engagement and we name it in every proposal. Clients work with people who have done the work, not a bench of analysts.
Published research on board-level AI oversight
Brian Allen's research on AI oversight is published by the Center for AI Oversight, an independent 501(c)(3) he founded. We cite it the way we cite any published source. These links open on the Center's site.
Where the discipline came from
We built our practice on cyber and operational risk programs for regulated institutions. That work continues. The oversight lessons from cyber carry over to AI: named accountability, a tolerance the board sets, and a reporting line that does not wait for an incident. The cyber operating model, built to protect and slow to approve, does not. AI needs those lessons on a much shorter clock.
If your board is asking what it should be asking about AI, start here.
A first conversation is 30 minutes with a senior member of our team. We listen to where you are and tell you plainly what we would look at first.