Home / CPaaS / Agent guardrails & monitoring
Let AI agents work. Keep them in bounds.
Set limits per enterprise, hand over to a person when needed, and watch every conversation live.
Refunds over the limit go to a person.
Summary attached, they pick up mid-task.
Illustrative
An AI agent that answers customers needs a clear job and clear limits. Set them once, test them, then watch it work.
What it may do, and what it may not.
Guardrails are set per enterprise, so each business gets its own rules.
- Reschedule a deliveryUses the order tool it was given.
- Check an orderReads the status and replies.
- Answer from the knowledge baseSticks to what the enterprise has written.
- Refund over the limitGoes to a person with a summary.
- Share another customer’s detailsStopped by the guardrails.
- Anything it has no tool forHanded over instead of guessed.
Illustrative examples
Voice, tone, greeting and guardrails.
Set them together, per enterprise, through one API call.
- Write the agent’s instructions and persona
- Choose the tools it may call
- Attach it to a number or campaign by API
Try it in the sandbox before launch.
Point the agent’s tools at the enterprise’s APIs and run sample conversations before it goes live.
- Reschedule a deliveryPassed
- Refund over the limitEscalated
- Ask about another customerBlocked
- Change the delivery addressPassed
Instructions, persona and tools.
Tools point at the enterprise’s APIs.
Sample conversations in the sandbox.
Assign to a number or campaign.
It answers from the enterprise’s own knowledge.
Agents are grounded in each enterprise’s own knowledge, so answers match what the business actually says.
- Returns policy
- Delivery guide
- Warranty terms
Illustrative
When it can’t help, a person can.
The agent transfers with a summary, so the human picks up mid-task.
AI agent
Sees the request is outside its limits.
Summary
Writes what was asked and what was done.
Human agent
Picks up mid-task, nothing repeated.
Watch it as it happens.
Follow resolutions and escalations in real time, then tune prompts as you learn.
A record of what happened.
The call outcomes webhook sends structured results, transcripts and the actions taken.
- Outcome
- Resolved
- Transcript
- Attached
- Actions taken
- orders.update()
Illustrative
Outbound agents log every outcome too, so reminder, collection and survey calls leave the same trail.
Built into every agent.
Agent guardrails, answered.
Guardrails are the limits you set for an AI agent. You set them with its voice, tone and greeting, per enterprise, through one API call.
Yes. Point the agent’s tools at the enterprise’s APIs and test in the sandbox before you attach it to a number or campaign.
It escalates. When a caller needs a person, the agent transfers with a summary so the human picks up mid-task.
A call outcomes webhook sends structured results, transcripts and the actions taken.
Yes. You can watch resolutions and escalations in real time and tune prompts as you go.
Launch agents you can trust.
Talk to partnerships about guardrails and monitoring for AI agents.