Services

Most agentic AI failures do not look like failures.

They can look like normal operation, right up until a system has quietly moved beyond what anyone actually authorised. We bring the same structural rigor to your architecture, whether or not you run our code.

Service 01

Governance & Drift Audit

For teams running long-lived agents in production — or about to.

A structural assessment of how a deployed system’s effective operating policy may have moved relative to what was authorised. This is not a prompt review or a vague risk score.

Start a Governance & Drift Audit
Deliverables
  • Classification against instruction drift, autonomy accumulation, and authority laundering
  • Assessment of the decision/audit trail and its governance value
  • Remediation roadmap ordered by what is actually exploitable first
  • Written report and optional structured walkthrough
Service 02

Adversarial Issues Register

For teams who want assumptions pressure-tested before they ship.

A formally categorised register of open problems in a governance approach. The point is not softened language; it is a defensible record of what is unresolved, how severe it is, and whether a solution path exists.

Enquire about an Issues Register
Deliverables
  • Categorised issue register with severity and solvability
  • Direct treatment of findings without an easy fix
  • A reviewable artifact for technical teams and diligence
  • Standalone or follow-on engagement
Service 03

Bring Us Into Your Build

For teams that want governance and security expertise embedded in the build.

Not every engagement begins with an existing system. This is scoped advisory work around the scaffolding, tooling, orchestration, memory strategy, and risk decisions of an agent build.

Discuss an advisory role
Deliverables
  • Agent-system architecture and orchestration review
  • Governance advisory during a build cycle
  • Security and risk consulting for agentic systems
  • Scope from short review to embedded multi-month role
A boundary stated upfront

Visibility depends on the deployment.

For API-hosted models, an engagement focuses on structural and execution-layer governance. Full activation-level analysis requires a locally hosted model that can be instrumented directly. We will state what can and cannot be assessed before work begins.