Deploying AI into high-stakes work means proving it is safe to rely on. With us, security and governance are built into the AI, not bolted on after. These controls support client engagements and AI deployments delivered by Work Transformers.
A partner signing a recommendation, an investment committee approving a deal, a board reviewing a decision: none can rely on output they cannot trace or explain. So the engineering that matters is not the model. It is the harness around it.
Boundaries on what the AI will and will not do, enforced rather than hoped for.
Checks that catch what is wrong before it reaches a person, with every figure traced to its source.
A named person accountable for each material decision. AI prepares; a person decides.
Client work is kept in its own environment, isolated from others, with access controlled and logged.
Systems and people see only what they need. Confidential material is never exposed to public tools without consent and a risk check.
Decisions, inputs and reviews are recorded, so what happened can be produced on demand.
Since March 2026, every RICS-regulated firm using AI has had to govern it to a published standard. Most of the firms we work with are in scope. We have read the Standard end to end and we build to it, so the AI we deploy is governed from day one, not retrofitted under audit.
Read the plain-English guideGovernance reads as a system: a few policies that set your position, and living records that prove you follow them. When we deploy, these come with it.
An AI use policy, risk appetite, and clear roles and accountabilities.
A register of AI systems with materiality reasoning, and a risk register reviewed on a regular cadence.
A reliability decision signed per material output, disclosure and explainability records, and a versioned audit trail.
Talk to us about governing the AI you already use, or check where your firm stands before you commit to anything.