AI Assurance Reports.
The report your executives, auditors, and supervisors can act on. Operational risk quantified, failure regions named, controls validated, and a deployment recommendation you can defend.
Every SafeFlow report includes.
Executive risk summary
One-page synthesis of measured operational risk, projected incidents at deployment scale, and a recommended action.
Operational risk quantification
Empirical p_fail on a production-representative prompt distribution, with projected incidents per 10K / 100K / 1M inferences.
High-risk failure regions
Named clusters of prompts where failures concentrate, with reproducible examples and severity classification.
Validated control recommendations
System-prompt, policy, refusal, and workflow controls ranked by measured risk reduction on the same distribution.
Residual risk and deployment recommendation
Post-control p_fail, projected residual incidents, and an approve / restrict / reject recommendation with supporting evidence.
Governance appendix
Model Risk Management alignment, reproducible methodology, evidence trail, and re-validation cadence.
Written for the people who own the decision.
AI Assurance Reports are readable by non-technical executives while remaining reproducible and defensible for technical reviewers, auditors, and supervisors.
- Executives and boards
- Chief AI Officers
- Model risk management
- Internal audit
- AI governance committees
- Regulators and supervisors
- Procurement and vendor management
- Engineering and product leadership
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We'll share a representative report for your sector along with a short walkthrough.