Monitor / AI governance

Control Calls Stay Within Limits

Set rules, reviews, and safeguards that keep voice automation reliable, compliant, and aligned with your team.

Review workflowsFallback rulesCall guardrails
A quality reviewer wearing a headset and checking written call notes

Connect quality controls to your existing tools

Identity and access
Knowledge bases
Audit data
QA workflows
Alerts
Reporting

From risk to release

Set the boundary, test the difficult path, monitor the evidence.

Classify sensitive actions, constrain the agent, run representative and adversarial tests, then turn review findings into controlled improvements.

  1. 01

    Classify the risk

    Identify sensitive data, high-impact actions, and calls requiring human judgment.

  2. 02

    Set boundaries

    Limit knowledge, permissions, responses, and escalation behavior.

  3. 03

    Test and approve

    Run representative and adversarial scenarios before publishing.

  4. 04

    Monitor and revise

    Review calls, investigate failures, and ship controlled improvements.

Inside a controlled workflow

Boundaries, testing, and evidence travel with every release.

Production quality comes from defined behavior limits, realistic pre-launch tests, and focused human oversight after calls begin.

01

Behavior boundaries

Define what an agent may say and do

Ground answers in approved sources, restrict tool permissions, and specify when the agent should decline, clarify, or bring in a person.

02

Pre-launch testing

Exercise the difficult paths before callers do

Build tests around common requests, sensitive topics, ambiguous language, integration failures, and attempts to move the agent outside its role.

03

Focused oversight

Review evidence and feed improvements back

Flag conversations by risk, uncertainty, outcome, or sampling rules and turn findings into tracked prompt, policy, or workflow changes.

Policy control center

Production Quality Controls

Connect quality evidence to access, review, and reporting systems.

Plan your integration
Quality Controls exampleGuardrail activated
  1. 1
    CustomerCan you make an exception and approve this today?
  2. 2
    Quality ControlsThis request requires an authorized teammate. I can connect you now.
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    Connected actionRestricted action blocked

Behavior limits, test results, and human review stay connected throughout deployment and continuous improvement.

Use cases

Where quality controls helps your team.

Quality Controls at a glance

The details your team can evaluate.

Test

critical paths before launch

Limit

answers, actions, and access

Review

the calls that need attention

Governance layer

Controls and evidence travel with every release.

Behavior limits, test results, and human review stay connected throughout deployment and continuous improvement.

Behavior boundaries

Define what an agent may say and do

Ground answers in approved sources, restrict tool permissions, and specify when the agent should decline, clarify, or bring in a person.

Control core

Frequently asked questions

What risk and quality teams ask before launch.

A practical overview of quality controls, setup, and how your team stays in control.

What should be tested before an agent launches?

Test common tasks, ambiguous requests, prohibited topics, sensitive data, tool failures, escalation paths, interruptions, silence, and realistic attempts to move the agent beyond its approved role.

How can agent actions be limited?

Give tools the minimum permissions required, validate inputs in downstream systems, require confirmation for consequential actions, and route higher-impact decisions to authorized people.

Which calls should humans review?

Use a mix of random sampling and targeted review based on failed outcomes, low confidence, escalation, sensitive topics, complaints, unusual duration, or other workflow-specific risk signals.

Do quality controls guarantee compliance?

No. They help teams implement and observe boundaries, but each organization remains responsible for legal, regulatory, security, and policy review for its specific data, industry, and operating regions.

Start building

Put explicit quality controls around one production workflow.

Start with one quality controls workflow, connect the tools it needs, and expand from real results.

✓ Review workflows✓ Fallback rules✓ Call guardrails