Test outcomes outside the runtime gate
Use independent data and model assessment to identify unjustified differential outcomes. AxonFlow can preserve decisions and interventions but does not perform statistical fairness testing.
Singapore
Operationalize accountable AI under MAS expectations.
Connect FEAT principles, system materiality, human responsibility, runtime intervention, and evidence records across Singapore financial-services AI.
FEAT is an operating discipline, not a product badge
The MAS FEAT Principles and Veritas work give financial institutions a structured way to assess fairness, ethics, accountability, and transparency. AxonFlow can help enforce and record runtime controls, while firms remain responsible for materiality, validation, fairness analysis, customer outcomes, and governance decisions.
Put named responsibility around action
Record system ownership, materiality, purpose, reviewer authority, incidents, and emergency controls.
Make decisions reconstructable
Connect policy, model, approval, and downstream execution records so reviewers can understand how a material outcome occurred.
Control mapping for Singapore financial services
| Governance need | AxonFlow contribution | Required companion process |
|---|---|---|
| AI system inventory | Enterprise MAS-oriented registry records ownership, use, risk, and lifecycle context. | Authoritative enterprise inventory and accountable approval body. |
| Materiality and FEAT assessment | Assessment workflow records review status and evidence references. | Institution-defined methodology, independent challenge, and domain expertise. |
| Singapore personal data | Configured policies for NRIC, FIN, UEN, phone, and postal patterns plus governed audit records. | PDPA basis, classification, retention, access, and incident controls. |
| Human oversight | HITL queues pause configured material actions; actor and decision history are recorded. | Clear authority, escalation, service levels, and customer-remediation process. |
| Emergency intervention | Licensed per-system or wider circuit-breaker controls support stop and reset procedures. | Business-continuity ownership, downstream containment, and recovery testing. |
| Traceability | Policy, approval, model, and tool records can be correlated with downstream financial-system logs. | Central monitoring, retention, access review, and periodic evidence testing. |
A focused MAS assessment
- Select one material customer or risk workflow and document its intended purpose, owner, model, data, and downstream action.
- Define the FEAT questions and evidence sources outside AxonFlow, including statistical fairness and model-performance analysis.
- Place policy and human-review controls before material execution, then test allow, block, pause, timeout, and emergency-stop behavior.
- Join AxonFlow records to downstream system events and verify whether a reviewer can reconstruct both the decision and its effect.
- Present the evidence to risk, compliance, security, engineering, and the accountable business owner before approving production use.
Important boundaries
AxonFlow can help teams
- Enforce runtime policy and PII handling
- Record materiality and FEAT assessment workflows
- Operate human-review and emergency controls
- Preserve decision and execution context
AxonFlow does not
- Determine whether an outcome is fair
- Run statistical bias or model-performance tests
- Replace PDPA, model-risk, or outsourcing governance
- Certify compliance with MAS expectations
Primary sources and implementation detail
Test the control path against a real workflow.
Use the Evaluation license to assess policy enforcement, human review, evidence records, and deployment boundaries before a regulated rollout.