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Enterprise

Set clear boundaries for AI support across knowledge, Actions, teams, and outcomes.

Give each Workspace an explicit readiness path, keep sensitive work behind Risk Policy, and measure outcomes with definitions your organization can inspect.

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WorkspaceMembers

Each Workspace has clear limits.

Agents, Members, sources and billing.

Your help center. Your inbox. Your team.

See how it works

Ask about controls and approval.

This page runs on Communicate. Type a question below and the assistant on this page answers it.

How it works

Move from isolated automation to an accountable support system.

Readiness, permission, and measurement remain explicit before an Agent represents the organization at scale.

  1. Readiness

    Review required
    • Knowledge

      Ready

    • Risk Policy

      Approved

    • Handoff route

      Configured

  2. Risk Policy

    Enforced
    • Account lookup

      Proceed

    • Refund request

      Member approval

    • Unknown result

      Do not retry

  3. Outcome report

    Data as of 14:30
    • Definition

      Verified Resolution

    • Freshness

      Visible

    • Owner

      Support operations

WHY IT MATTERS

Every Agent operates inside a visible boundary. Every outcome keeps the evidence behind it.

What changes

Control that remains understandable across teams.

The organization can scale support automation without hiding who approved the knowledge, the Action, or the outcome definition.

  1. 01

    Readiness stays explicit

    Knowledge, routing, Actions, and policy requirements are reviewed before activation.

  2. 02

    Sensitive work stays governed

    Risk Policy decides when the Agent may proceed, must request review, or must hand off.

  3. 03

    Outcome reporting stays inspectable

    Metric definitions and Data as of time remain visible beside the number.

Designed for the edge cases

Enterprise controls built into the support workflow.

Governance works best when it sits beside the decision instead of in a document no one sees during the Conversation.

01

Workspace boundaries

Keep Agents, Members, sources, Conversations, and billing inside an explicit operating boundary.

Removesusing tags as the only separation between business units or customer groups.

02

Readiness requirements

Review knowledge, evaluation, Action, routing, and security state before an Agent becomes active.

Removeslaunching from a configuration checklist stored outside the product.

03

Risk Policy and approval

Require customer confirmation or Member approval when the Action risk demands it.

Removestreating a prompt instruction as the authorization boundary.

04

Defined outcome analytics

Track measures with versioned definitions, event time scope, freshness, and an owner.

Removescomparing dashboards that use different meanings for the same label.

Workspace boundaries
Readiness requirements
Risk Policy and approval
Defined outcome analytics
Every feature here runsthrough the same Agent.

Used in production

Already answering customer questions.

  • Teams building software
  • Teams making content
  • Teams running everyday tools
  • Autoposting
  • Vrid
  • Niyam
  • FAAD Network
  • Nimblocity
  • Pure Digital
  • QCall
  • Serri
  • The Medical Insurance Exchange

Proof

Policy stays close to the decision it governs.

Members can see why the Agent answered, acted, paused, or handed off without reconstructing the logic from separate systems.

  1. 01 · Source

    The answer keeps its evidence

    Members can inspect the source and revision supporting the response.

  2. 02 · Decision

    The Action keeps its policy state

    Approval reasons and parameters remain tied to the request.

  3. 03 · Outcome

    The report keeps its definition

    Freshness and measure meaning remain visible beside the result.

Compare

Operational controls inside the Conversation, not around it.

Compare how each approach handles boundary, approval, evidence, and outcome measurement.

Workspace boundary

CommunicateProduct enforced
Generic AI botAccount dependent
Custom platformYou design it

Action approval

CommunicateRisk Policy
Generic AI botPrompt or flow
Custom platformYou build it

Outcome definition

CommunicateVersioned contract
Generic AI botVendor metric
Custom platformYou govern it

Human takeover

CommunicateSame Conversation
Generic AI botTransfer flow
Custom platformYou integrate it

FAQ

Questions enterprise teams ask about control.

How governance, approval, evidence, and reporting work together.

READY WHEN YOU ARE

Make the boundary visible before the Agent goes live.

Choose one Workspace, connect its approved knowledge, define the Risk Policy, and review the outcome you need to measure.

One-time $1 activation · Grounded answers · Human takeover · Cancel anytime