Make the governance
decision before
the AI decision.
Sentinel helps organisations investigate AI use cases, challenge evidence, convene relevant governance perspectives and prepare accountable decisions before deployment.
AI adoption is moving faster than governance capacity.
Organisations are introducing AI across recruitment, procurement, customer service, finance, healthcare, education, public services and internal operations. Yet many AI decisions are still handled through disconnected policies, spreadsheets, emails and meetings.
THE REAL QUESTION IS NOT WHERE AI IS BEING USED
"Should this AI use case proceed, under what controls, based on what evidence, and who remains accountable?"
AI Ambition
Rapid adoption across all functions
Fragmented Governance
Policies, spreadsheets, emails, meetings
Uncertain Accountability
Who decided? On what evidence?
Sentinel Intelligence
Structured investigation and deliberation
Accountable Deployment
Evidence-backed, human-owned decisions
SENTINEL HELPS ORGANISATIONS ANSWER
Should this AI use case proceed?
What evidence supports the decision?
Which assumptions remain unverified?
Who may be affected?
Which controls are mandatory?
Who owns the final decision?
Who is responsible for implementation?
When should the decision be reviewed?
What should happen if conditions change?
A complete governance intelligence journey
Sentinel guides organisations through every stage of the governance process — from initial discovery to continuous reassessment.
Understand the use case
Capture the AI system, its purpose, users, affected stakeholders, data sources, decision influence and operational context.
Examine the evidence
Distinguish facts from assumptions. Identify missing documentation, unverified claims and evidence gaps that must be resolved.
Question the assumptions
Surface contradictions, challenge weak evidence, identify risks to people, processes and rights that may have been overlooked.
Convene governance perspectives
Invite relevant specialists — legal, privacy, ethics, risk, HR — to examine the case, surface disagreement and record dissent.
Prepare the accountable decision
Recommend an outcome: Proceed, Proceed with Controls, Escalate, Pause or Reject — with rationale, controls and ownership.
Create the Governance Case File
Produce a complete decision record: evidence, council perspectives, dissent, controls, accountable owner and review date.
Build institutional memory
Preserve prior decisions, conditions, waivers and incidents. Retrieve precedents. Prevent inconsistent decision-making.
Monitor and reopen when needed
Detect material change — model updates, new data, regulation changes, incidents — and trigger reassessment automatically.
One complete end-to-end demonstration available now.
Built for the long term
Sentinel is designed as an Enterprise Governance Intelligence System. Its first specialisation is AI Governance Decision Intelligence.
Governance Casework
The strongest and most functional part of Sentinel. A complete end-to-end governance assessment for AI use cases.
Governance Intelligence
Advanced intelligence capabilities including adaptive questioning, Governance Council, Organisational DNA and institutional memory.
Continuous & Agentic Governance
Long-term capabilities for continuous governance, agentic AI authority mapping and enterprise-wide governance intelligence.
Governance failures Sentinel is designed to surface
These scenarios demonstrate the governance questions Sentinel is designed to examine.
AI-Assisted Recruitment Shortlisting
An AI system analyses applications and recommends candidates for human evaluation. Without fairness testing, data provenance and meaningful override, discriminatory patterns may go undetected.
Risk: Hidden discrimination and weak human oversight
Autonomous Customer-Facing AI Agent
An autonomous agent handles customer queries and takes actions on their behalf. Without defined authority boundaries, the agent may act beyond its intended scope.
Risk: Authority without clear limits
Public-Sector Eligibility System
An AI system determines eligibility for public benefits. Automated rejection without human review, appeal routes or transparency may violate due process and fundamental rights.
Risk: Automated decisions affecting rights
AI Procurement Recommendation
An AI system recommends vendors and contract awards. Without conflict-of-interest controls and evidence of fairness, procurement integrity may be compromised.
Risk: Vendor bias, conflict of interest and weak evidence
Agentic Finance Assistant
An agentic AI executes financial transactions autonomously. Without clear authority limits, approval thresholds and audit trails, financial exposure may be uncontrolled.
Risk: Transactions executed beyond authorised financial limits
These scenarios demonstrate the governance questions Sentinel is designed to examine. They are illustrative examples and not client engagements or performance claims.
Ready to govern AI with confidence?
Start with a demonstration assessment or request a governance pilot for your organisation.
Start Demo Assessment
Experience a complete end-to-end governance assessment for an AI use case. No account required for the demonstration.
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