Trusted AI
Trust must be part of the operating system
Trust is engineered into the workflow, not bolted on after development. The Trust Spine connects governance to the data, authority, oversight, evaluation and operating controls that actually constrain agent behaviour in production.
The premise
Policy alone cannot control an agent.
A policy document cannot control an agent that reads enterprise data, uses tools, prepares transactions or influences material decisions. Control requires an operating system: inventory, authority, data, evaluation, monitoring and incident response. designed into the capability itself.
Trust Spine
Ten controls that govern production AI.
- 01AI inventory. A maintained register of material AI use with owners, data, providers, authority and status.
- 02Named accountability. Every AI capability has a business owner accountable for outcome, risk and operation.
- 03Data controls. Approved data use with classification, provenance, access and retention enforced.
- 04Agent authority. Least-authority permissions, explicit approvals, prohibitions and exception paths.
- 05Evaluation. Repeatable tests across business quality, safety, reliability, latency and cost.
- 06Change control. Controlled release of models, prompts, knowledge, tools and system connections.
- 07Monitoring. Continuous visibility of behaviour, quality, drift, cost and service health.
- 08Incident response. Rapid containment, clear accountability and recovery when AI behaviour fails.
- 09Third-party risk. Supplier, model and platform controls with clear gaps and residual-risk decisions.
- 10Commercial control. Unit-cost transparency, budget control and value reporting tied to business outcomes.
Make trust operational.
Tell us the workflow, decision, service problem or risk position that matters. We will respond within one business day.