Operations and assurance
Assurance: risk, security and AI governance as evidence produced while the work happens
Risk, security and AI governance as continuous, audit-ready evidence, produced as the work happens. Every application is handed over with the record of how it was built and who decided what. That record holds the targets it was built to and the failures it was tested against. It also holds which models were permitted to do the work, and on what terms. Each decision in it carries an accountable owner from your team, ours or both. An audit is a lookup, not a reconstruction. The evidence stays in your environment. A SaaS provider is judged on its evidence, and this gives the services you build and own in-house the same. BtSavvy engineers build and maintain the evidence. Or your risk and security teams do, on FORGE, with a forward-deployed engineer beside them teaching, and your team keeps the capability.
Auditors have begun to ask two questions about each change: was this what was asked for, and who or what made it. When AI wrote the change, the answer is often scattered across a requirements system, a repository and a session that was thrown away. On FORGE, every requirement gets a permanent identifier. Every change traces back to it, to the line of code and to the session that produced it. An AI agent does not approve its own work or move its own pass mark, and setting a check aside is itself a recorded decision. A check has to prove it can fail before its green result counts, by first rejecting an input known to be bad. Every model your organisation admits carries what it may read, where it runs, its data terms and the date its approval ends. FORGE will not run a model after that date. Approvals are checked against the versions of the artefacts they cover.
What the client gets
Governance evidence that stays current, rather than an audit at one point in time.
Evidence that accumulates. A software bill of materials with every release, naming each component's source and licence. The deployment record, written as the pipeline runs. The operator's record of every action taken and declined in production. That record is chained entry to entry and copied outside the application's account on a schedule. Even a compromised account cannot quietly rewrite it, and the system that acts does not hold the key that vouches for its record. A finding from any source lands in one place and does not close without a named owner and a next step.
A compliance record for AI products in regulated markets. It takes each obligation the applicable regulation imposes. It states what the product's AI does about it and where the proof is. It is appended to, never rewritten. A change to it is approved by someone other than the person who proposed it. A change that touches a claim about the architecture is also approved by an engineer able to judge that claim. It is the document you hand a regulator.
Standards with owners, across the portfolio. Each standard has an owning team, and only that team can change it. Standards are published once and inherited by every project, with departments adding their own. One view shows which projects are behind the current standards, and an impact preview shows what a change would affect before it is made. Only AI products carry an AI policy, and only AI products in regulated markets carry the compliance record. A small system is not buried in paperwork it does not need.
Reporting for the people who read it. A chief risk officer, general counsel or board gets a document they can act on. An auditor reads the record directly.
When to engage
Engage Assurance when AI governance is a board-level ask and the current posture is a point-in-time audit. It fits when a new AI workload is landing in a regulated market. It also fits when an auditor has asked how an AI-generated change was built and approved, and the answer had to be reconstructed.
Accelerators on this service
Assurance engagements draw on tooling we built for the work. It covers control assessment kits, AI inventory tooling, evidence collection stages for the pipeline, compliance monitoring, risk scoring and security review tooling. Regulatory specialisation covers energy, healthcare, retail and supply chain, financial services, and manufacturing. Your data and your intellectual property stay yours.
Adjacent services
Assurance reads the records the other services write. It reads the operator's record from Run, the deployment record from DevSecOps and lineage from Data Foundation. It reads the requirement-to-release trace from Build and the platform definitions from Cloud, and Governed Enablement brings business-built systems onto the same surface. AI Strategy & Architecture may scope Assurance first where regulatory posture decides what can be built at all.
Talk to BtSavvy about what you could prove to an auditor.
Most engagements begin with the FORGE Diagnostic. We build a working slice of one workload to your standards, inside your security controls, and deploy it where you can watch it run. You see the evidence produced as it is built, reviewed and deployed. You keep the demonstration, its evidence and a readiness assessment, with a proposed next step. Nothing in your existing production is altered.