Let AI handle repeatable work. Keep people in charge of judgment.
Define where automation can act, when approval is required, and how a conversation transfers to a teammate with its context and operational state intact.
Clear authority at every consequential step
Automation should increase capacity without hiding ownership or bypassing business policy.
- Explicit takeover Pause AI and assign a conversation when a person needs to own the relationship.
- Approval paths Route exceptions and consequential actions through configured review points.
- Context-preserving transfer Give the receiving teammate conversation history, customer state, and the pending decision.
Workflow sequence
Configure authority before launch
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01
Define policy
Map allowed actions, approval requirements, routing rules, and team ownership.
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02
Monitor execution
Interlinked records workflow state and exposes handoff moments to operators.
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03
Improve deliberately
Teams review recurring exceptions and refine policies without surrendering control.
Governance that follows the workflow
Apply different levels of automation to different risks and teams.
- Pricing exception Hold a non-standard quote for the authorized reviewer instead of improvising.
- Sensitive conversation Transfer the full record when tone, policy, or customer value calls for human attention.
- Operational failure Surface the failed step and its context so a teammate can recover the journey.
Let AI handle repeatable work. Keep people in charge of judgment.
AI handles the repeatable path while the team keeps visibility into context, exceptions, and handoff moments.
Evaluation paths
Keep evaluating the fit
Use these links to validate implementation details, commercial fit, and proof before moving forward.