The AI Assurance Platform
The evidence layer for AI deployment decisions.
SafeFlow gives risk, governance, and supervisory teams the quantitative evidence they need to approve, restrict, or reject AI deployments — across copilots, RAG systems, and agent workflows.
How the platform works
A closed assurance loop, grounded in your real traffic.
01
Measure
Empirical operational failure risk on your real prompt distribution.
02
Discover
Named high-risk failure regions with reproducible examples.
03
Mitigate
Validated system-prompt, policy, and workflow controls.
04
Validate
Proven residual risk reduction before deployment.
Coverage
Every AI surface that matters.
SafeFlow assures the AI surfaces your organization actually deploys — not benchmark tasks.
- Enterprise copilots
- Customer-facing assistants
- Retrieval-augmented (RAG) systems
- Multi-step agent workflows
- Vendor and frontier models
- Regulated business-line AI
Contact
Request a Demo.
Tell us about your deployment context and we'll show you what evidence SafeFlow can produce for your team.
