SupTech infrastructure for AI supervision.
SafeFlow gives supervisors, regulators, and public-sector agencies an independent, evidence-based way to assess the operational reliability of AI systems — from vendor models used internally to supervised entities' deployments.
High-stakes AI systems that need evidence, not intuition.
Supervised entity AI review
Independent operational risk assessment of AI systems deployed by supervised firms — evidence to support supervisory action.
Public-sector AI deployment
Reliability evidence for AI used in benefits, tax, customer service, and internal knowledge assistants.
Model and vendor assurance
Comparative evidence on vendor and frontier models used by government agencies.
AI incident preparation
Pre-deployment stress testing that surfaces operational risks before they become public incidents.
Constituent-facing systems
Chat, triage, and translation AI — measured on realistic constituent inputs before rollout.
Cross-agency AI oversight
Standardized assurance reports usable across agencies, audits, and legislative reviews.
What SafeFlow delivers.
SafeFlow produces the evidence your executives, auditors, customers, and regulators need to trust an AI deployment decision.
- Independent, third-party evidence on AI operational risk
- Standardized supervisory assurance reports
- Comparative model and vendor evaluations
- Reproducible methodology grounded in published research
- Bilingual English / Chinese reporting
- Support for AI incident preparedness and oversight
Your AI Assurance Report.
A governance-ready document your team can share with executives, auditors, and supervisors — with evidence, recommendations, and a defensible deployment decision.
Explore the report- Supervisory summary and scope
- Operational risk quantification
- High-risk failure regions with examples
- Comparative vendor / model analysis
- Recommended supervisory conditions
- Reproducible methodology and evidence trail
Request a supervisory briefing.
Tell us about your deployment context. We reply within 1–2 business days.