CAGI Advisory gives boards defensible control over AI-influenced decisions before regulators, customers, or failure events demand proof.
We review decisions, not models.
If asked tomorrow by a regulator, your board, or your customer, could you answer these questions with evidence rather than reconstruction?
Ownership must be assigned to accountable people, not inferred from systems, vendors, or policies.
Defensibility requires traceability, explainability, and evidence that can survive scrutiny.
Control depends on intervention thresholds, escalation paths, and tested override capability.
The cost of weak AI decision governance is not abstract. It appears as regulatory exposure, operational disruption, reputational damage, and litigation risk.
Organisations unable to evidence AI decision control face enforcement action, remediation orders, investigation pressure, and public censure.
AI decision drift can propagate across systems at machine speed, creating disruption before executive oversight detects deviation.
When AI-influenced decisions cause harm, boards are held accountable for oversight failure, not the system itself.
Traditional consulting describes governance. CAGI Advisory establishes control.
Framework-led delivery focused on documentation and interpretation.
Generalist teams with limited ownership of AI and cyber risk in live environments.
Compliance treated as the primary goal.
AI and cybersecurity treated as separate risk categories.
Decision-focused governance applied to real pathways, not policies.
Active CISOs, AI leaders, and risk executives who own this problem themselves.
Control as the outcome. Demonstrable, testable, and defensible.
One unified domain, because AI is now part of the attack surface.
CAGI Advisory reviews decisions, not models. The work focuses on where AI materially influences outcomes and whether those decisions can be owned, explained, challenged, and defended.
Map where AI materially influences decisions across risk, operations, cybersecurity, and customer interactions.
Test ownership, authority boundaries, escalation paths, and real override capability.
Evaluate traceability, explainability, and ability to respond to scrutiny within 48 hours.
Apply the Defensibility Maturity Model to produce a board-ready exposure map.
Most organisations have AI policies. Few have decision-level control. The maturity model shows where control actually sits.
AI-influenced decisions exist without visibility, ownership, or governance awareness.
The organisation recognises exposure but lacks formal accountability and oversight capability.
Governance structures exist, but evidence, escalation, and operational consistency remain incomplete.
Decision governance is measurable, defensible, reviewable, and supported by evidence.
Continuous oversight, adaptive governance, and operational resilience exist at machine speed.
The control system moves organisations from unrecognised exposure to resilient decision governance.
What is deployed, where it operates, and which dependencies support it.
Who owns decisions, outcomes, escalation, and override thresholds.
What structures define authority, approval, intervention, and assurance.
Authority, delegation boundaries, automation limits, human override thresholds, and defensible evidence.
How risk is managed through safeguards, mitigations, and tested processes.
Whether decisions can withstand audit, regulatory challenge, and board scrutiny.
Drift detection, intervention triggers, model integrity, and failure propagation monitoring.
The output is not a generic consulting report. It is a decision exposure map and defensibility profile grounded in your actual operating environment.
Illustrative example only. Your map reflects your actual decision environment.
Each stage builds on the last. The pathway is designed to move from qualification to exposure clarity to defensible control.
Up to 90 minutes.
A confidential, complimentary, senior-level conversation to map current exposure, identify high-risk decisions, and determine whether a deeper review is warranted.
Up to 5 days. Fixed scope.
Targeted review of the highest-risk AI decision areas. Produces a prioritised exposure summary and accountability gap report.
Up to 4 weeks. Fixed fee.
Complete decision exposure map, accountability and override matrix, defensibility maturity profile, board-ready narrative, and regulator-defensible evidence package.
The question is whether you find it before a regulator, customer, incident, or board challenge does.
Control is easiest to establish before failure. After failure, it is imposed.