# Enterprise: scale support without the compliance theater · Communicate > Unlimited Members and unlimited Agents on Scale, answers grounded in your real Knowledge base at volume, and a data posture stated plainly: GDPR-ready, encrypted at rest, TOTP two-factor. Start with 100 credits. - **URL:** https://communicate.so/solutions/enterprise --- # Set clear boundaries for AI support across knowledge, Actions, teams, and outcomes. AI customer support for large organizations Give each Workspace an explicit readiness path, keep sensitive work behind Risk Policy, and measure outcomes with definitions your organization can inspect. [Start with 100 credits](https://app.communicate.so)One-time $1 activation · 100 credits included · No automatic subscription Customer questions reveal the next missing answer to improve.Communicate Customer questions Last 7 days Teammate access42 Billing email31 Cancellation18 Answer gap found How do I transfer a Workspace? Add one trusted answer to improve future replies. 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 01 · Govern ### Define the knowledge and policy boundary Scope sources, Members, Agent behavior, and required handoff rules inside each Workspace. Readiness Review required Knowledge Ready Risk Policy Approved Handoff route Configured - 2 02 · Control ### Keep sensitive Actions behind explicit approval Separate safe lookups from work that requires customer confirmation or Member approval. Risk Policy Enforced Account lookup Proceed Refund request Member approval Unknown result Do not retry - 3 03 · Measure ### Review outcomes with enough context to trust the number Keep metric definition, Data as of time, Agent, channel, and team context available beside the report. Outcome report Data as of 14:30 Definition Verified Resolution Freshness Visible Owner Support operations Readiness Review required Knowledge Ready Risk Policy Approved Handoff route Configured Risk Policy Enforced Account lookup Proceed Refund request Member approval Unknown result Do not retry Outcome report Data as of 14:30 Definition Verified Resolution Freshness Visible Owner Support operations Every Agent operates inside a visible boundary. Every outcome keeps the evidence behind it.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. 01 ### Readiness stays explicit Knowledge, routing, Actions, and policy requirements are reviewed before activation. 02 ### Sensitive work stays governed Risk Policy decides when the Agent may proceed, must request review, or must hand off. 03 ### Outcome reporting stays inspectable Metric definitions and Data as of time remain visible beside the number. A support task is reviewed and added to the Agent’s allowed actions.Communicate Approved tasks Restricted Look up an account Read-only customer lookup Allowed Create a support request Send the question and Conversation to your support queue. Reviewing Change billing details Requires a Member Blocked The Agent can run only the tasks marked Allowed. 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. ### Workspace boundaries Keep Agents, Members, sources, Conversations, and billing inside an explicit operating boundary. You stop dealing with: using tags as the only separation between business units or customer groups. ### Readiness requirements Review knowledge, evaluation, Action, routing, and security state before an Agent becomes active. You stop dealing with: launching from a configuration checklist stored outside the product. ### Risk Policy and approval Require customer confirmation or Member approval when the Action risk demands it. You stop dealing with: treating a prompt instruction as the authorization boundary. ### Defined outcome analytics Track measures with versioned definitions, event time scope, freshness, and an owner. You stop dealing with: comparing dashboards that use different meanings for the same label. Accountability in the product ## 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. Source ### The answer keeps its evidence Members can inspect the source and revision supporting the response. Decision ### The Action keeps its policy state Approval reasons and parameters remain tied to the request. Outcome ### The report keeps its definition Freshness and measure meaning remain visible beside the result. Choose the governance model ## 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 Decision Communicate Generic AI bot Custom platform Workspace boundary Product enforced Account dependent You design it Action approval Risk Policy Prompt or flow You build it Outcome definition Versioned contract Vendor metric You govern it Human takeover Same Conversation Transfer flow You integrate it [Start with 100 credits](https://app.communicate.so) Questions before you start ## Questions enterprise teams ask about control. How governance, approval, evidence, and reporting work together. ### How are business units separated? ### Can sensitive Actions require Member approval? ### Can an unknown Action result be retried automatically? ### How do we know what an analytics number means? ## 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. [Start with 100 credits](https://app.communicate.so)One-time $1 activation · Grounded answers · Human takeover · Cancel anytime