Configure how your customer lifecycle runs.

Connect context, define orchestration and set the boundaries for autonomous agents. Your workspace terminology and operating model are configured after sign-in.

This is an orientation preview.

No external systems are connected and no customer data is imported from this screen.

Setup model

Four layers, one operating context.

Each workspace supplies its own terminology, fields, stages, sources and policies.

Customer signals

Bring conversations and enquiries into one customer context.

Conversation channels
Voice and email
Web entry points

Operating context

Give agents the structured context they need to act accurately.

Catalog and knowledge
Customer fields
Branches and ownership

Lifecycle orchestration

Define how work moves from a signal to the next action.

Qualification signals
Routing policies
Journeys and appointments

Agent control

Choose where AI acts and where a person must review.

Roles and permissions
Approval boundaries
Audit and provenance

What happens next

Your operating loop becomes executable.

AI agents use the same context, policies and permissions as your team, with evidence attached to every important decision.

Signal arrives

Conversation or enquiry

AI understands

Intent and context

Policy decides

Route and next step

Work executes

Agent or human action

Continue into your workspace

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