Make trust an operating system
Policies create direction; production controls connect inventory, ownership, data, authority, evaluation, release, monitoring and incidents.
Enterprise AI solution / Trusted AI Governance
Make AI authority, risk and evidence explicit.
Establish the controls and operating routines required to deploy and manage AI with accountable human decisions.
01 / Business trigger
Recognise the operating problem.
AI inventory, risk, authority, evidence or accountability is unclear and a system cannot yet pass production assurance.
- Primary audience
- Boards, CROs, CISOs, DPOs, CIOs, compliance leaders and AI risk owners
- Target outcome
- An operating governance system with risk classification, explicit agent authority, human oversight, evaluation evidence and owned remediation.
02 / Target operating outcome
Make the whole capability visible.
An operating governance system with risk classification, explicit agent authority, human oversight, evaluation evidence and owned remediation.
- 01AI inventory
- 02Risk classification
- 03Authority and data
- 04Evaluation and release
- 05Monitoring and response
The operating architecture progresses through AI inventory, Risk classification, Authority and data, Evaluation and release, Monitoring and response.
03 / Operating narrative
Move from decision to accountable operation.
Build the inventory and risk view
Identify material AI uses, owners, providers, data, authority and impact, then classify the assurance each use requires.
Set agent authority and oversight
Define permitted actions, prohibitions, approvals, exceptions, stop authority and human accountability.
Assure privacy, data and third parties
Make data use, provenance, access, retention, provider responsibilities and unresolved dependencies visible.
Evaluate and challenge the system
Use repeatable business, safety, security and reliability tests proportionate to the use and its potential impact.
Control production release
Release only with accepted evidence, owned residual risk, monitoring, incident readiness and rollback.
Operate governance and value
Maintain the inventory, exceptions, remediation, reporting and value view as systems and regulation change.
Apply trust where work happens
Governance becomes real when connected to a production agent, knowledge service, workforce or public-service journey.
05 / Delivery system
Reinvent. Build. Trust. Operate.
The engagement starts with the strongest entry point for the operating outcome, then draws on the service stack required to reach acceptance.
- TRU-01
- TRU-02
- TRU-03
- TRU-04
- TRU-05
- TRU-06
- TRU-08
- OPS-06
06 / Authority and safeguards
Keep accountability close to the work.
- 01Human accountability
- 02Privacy and security
- 03Evaluation evidence
- 04Incident readiness
- 05Residual-risk ownership
07 / Engagement and acceptance
Agree what must be true.
Acceptance evidence. Material AI uses are inventoried, classified and assigned owners, with proportionate controls, evidence gaps and remediation priorities agreed.
Boundary. Assessment and control design support accountable decisions; they are not certification, legal advice, compliance guarantees or risk elimination.
Client commitments
- Named business and risk owners
- Complete discovery access
- Timely evidence and remediation decisions
09 / Qualified conversation
Bring the operating outcome.
Share the business trigger, accountable owner, measurable baseline, timing and desired operating result.