Full product walkthrough — five minutes, from governed intake to blast-radius incident response.
Fictional sample data — no real institution or system is shown.
The problem
No single framework owns enterprise AI risk.
Regulated institutions now run traditional models, generative AI, and agentic systems side by side — governed by a patchwork of model-risk rules, enterprise risk, and AI-specific controls that no one framework ties together.
Governance shows up too late: committees reviewing models after they're built, evidence assembled by hand in the weeks before an exam. And when the examiner asks “what AI do you actually have, and how is it controlled?” — few institutions can answer in one place.
SAGIS makes AI governance an end-to-end control system, not an after-the-fact review.
What's inside
Six capabilities, one governed lifecycle.
AI Inventory & Intake Copilot
A single intake for every AI use case. A copilot drafts the classification; the rules engine decides. Answers “what AI do we actually have?”
Risk Tiering (T0–T4)
Canonical tiers from prohibited to experimental, mapped to each framework’s native labels so multi-framework stays sane.
Governance Gates (G1–G8)
Six gates take a system to launch; two run for the rest of its life — intake, tiering, validation, security, pilot, attestation, revalidation, retirement.
GenAI & Agentic Controls
Purpose-built controls for hallucination, data leakage, prompt injection, toxic output, and uncontrolled autonomy — with human approval before external action.
Framework Packs
SR 26-2, OSFI E-23, NIST AI RMF, and the EU AI Act as swappable, data-driven packs — generalized from public standards only.
Book of Record
At attestation, each system turns over into continuous monitoring with a sealed evidence trail — the answer to “what do we show the examiner?”
Inside the product
A working system, not a slide deck.
Built for
Regulated institutions that answer to examiners.
Designed for model risk, AI governance offices, technology and cyber risk, compliance, and the executives accountable for AI. Every step carries embedded guidance — very few people combine the technology, AI, risk, and banking expertise this requires, so the system supplies it.