Control AI before it acts, not after
When AI triggers real customer impact, entitlement changes and budget spend, you need pre-execution authorization and full traceability — a three-layer pyramid that evaluates every request before it runs.
Post-hoc review is too late for autonomous AI
When AI triggers real customer impact, real entitlement changes and real budget consumption, the enterprise needs pre-execution control, not post-hoc review. Actions fall into four types with escalating governance: read-only analysis, recommendation, controlled writes and high-risk execution. A three-layer authorization pyramid — Entity (what object?) → Action (what operation?) → Scope (how far?) — has to evaluate every request before it executes.
Pre-execution authorization with full traceability
Agents are constrained to workflow context: they see only what the workflow exposes, use only authorized tools, and generate only permitted content. Human and AI operators converge on the same governance logic, so there is one rule set rather than two. Every request is evaluated up front through the Entity → Action → Scope pyramid, and every action is logged with full traceability of scenario, node, judgment, rule and outcome — auditable and revocable.
How it works
The mechanics behind governance & compliance.
Four escalating action types
Read-only analysis, recommendation, controlled writes and high-risk execution carry progressively stricter governance. The higher the potential impact, the more authorization a request must clear before it runs.
Entity → Action → Scope pyramid
Every request is evaluated across three layers — which object (Entity), which operation (Action), and how far it reaches (Scope). Authorization happens before execution, so unpermitted actions never fire.
Full traceability
Human and AI operators share the same governance logic. Every action is logged with the scenario, node, judgment, rule and outcome — making each decision auditable and revocable after the fact.
SOC 2 Type II audited, GDPR compliant, ISO 9001 / ISO 27001 certified. Data residency is configurable by Azure region (US, EU, Asia), and all AI actions are logged, auditable and revocable.
Frequently asked
Where can our data reside?
Data residency is configurable by Azure region — US, EU or Asia — so you can align deployment with your regulatory and residency requirements. The platform is SOC 2 Type II audited, GDPR compliant and ISO 9001 / ISO 27001 certified.
How are AI agents prevented from overreaching?
Agents are constrained to workflow context: they see only what the workflow exposes, use only authorized tools, and generate only permitted content. Every request is evaluated before execution through the Entity → Action → Scope pyramid, so authorization is pre-execution, not post-hoc.
Can we audit and reverse what an AI did?
Yes. All AI actions are logged with full traceability of scenario, node, judgment, rule and outcome, and they are auditable and revocable. Human and AI operators run on the same governance logic, so there is a single audit trail across both.
More CIO solutions
Overview →See it on your own numbers
Book a walkthrough, or model the LTV:CAC upside with the ROI calculator.