From principles to practice
Govern AI agents like you actually run production systems.
RAISE turns governance into operational controls: inventory, monitoring, runtime guardrails, and recovery. It’s designed for both brand-new agent-native systems and existing enterprise platforms where governance must integrate into what you already use.
8
Pillars
6
Lifecycle gates
4
Operational controls
Governance at a glance
Click the chips to jump. Open a pillar for details.
Built for scale
Replace paper reviews with runtime enforcement and evidence.
Integrates cleanly
Work with your identity, ticketing, logging, and backup systems.
The eight pillars
Click a pillar for practices and example controls. This is intentionally tool-agnostic.
Lifecycle gates
Governance shows up as gates: owners, evidence, and go/no-go criteria.
Select a gate
What you confirm
Evidence
Owners
Operational controls
The capabilities that make governance executable in production.
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Inventory
Know what agents exist, who owns them, and what they can access.
◉
Monitor
Trace actions with identity, tool, and data context.
⛨
Guardrails
Enforce policies at runtime on prompts, tool calls, and outputs.
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Recover
Contain issues fast and reverse destructive actions when possible.
Quick readiness assessment
Move the sliders. The chart updates live. Print a summary for stakeholders.
Readiness0%
1 = starting out • 3 = partial • 5 = mature and evidence-backed
Pillar profile
Use this as a starting point for deeper reviews.
Resources
Contact us for an access code to download resources.
RAISE one-pager
Executive overview
Agent inventory template
Ownership, access, readiness
Incident response checklist
Contain, recover, learn
Contact
Have questions about RAISE or want to bring this to your teams? Send me a note.
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