Use case
Prevent risky changes
Catch high-impact actions before they go through and keep teams confident as AI use grows.
Best for
Before
Without guardrails
- Important actions move forward without enough checks
- Teams find issues only after customers are affected
- Leaders cannot see where risk was introduced
After
With AgentTrust
- Higher-risk actions pause before they run
- Teams handle exceptions with clear ownership
- Records show exactly when guardrails intervened
How it helps
Practical outcomes for this workflow
Catch high-impact activity
Spot risky actions before business damage occurs.
Reduce surprise incidents
Prevent avoidable mistakes from turning into fire drills.
Protect critical workflows
Keep sensitive processes stable during AI rollout.
Clarify ownership
Route decisions to people who already own the risk.
Build leadership trust
Show that controls are active from day one.
Maintain pace
Apply guardrails without blocking normal work.
Proof
Records you can share in follow-up
Record example
action=account_update
decision=paused_for_review
recordId=rec_71a2
What this means: Teams can verify that a risky change was stopped before it reached production.
Record example
action=permission_change
decision=blocked
recordId=rec_2f44
What this means: Leadership can see when policy prevented an unsafe access change.
Record example
action=customer_export
decision=approved_with_conditions
recordId=rec_5e10
What this means: Reviewers can confirm that sensitive work moved forward with safeguards in place.
Rollout guidance
A simple path to get started
Step 1
Start with one workflow
Step 2
Decide what needs review
Step 3
Limit access by default
Step 4
Use records for follow-up
FAQ
Common questions
Will this slow down every request?
No. Only actions that match your risk thresholds pause, so everyday work keeps moving.
How quickly can we start?
Most teams begin with one high-impact workflow and see value in the first rollout phase.
Who decides what is risky?
Your existing owners define thresholds based on business impact and customer exposure.
Can we adjust over time?
Yes. Teams refine policies as they learn, while keeping records of each decision.