# Resolve the request. Show how it was handled.

Audience: Enterprises

Give our forward-deployed engineers one support queue or sales workflow. We integrate your systems, test the agent against your policies, and run it with your team from pilot through production.

[Read the enterprise governance guide](https://www.assistable.ai/resources/enterprise/ai-governance)

## Agree on one outcome before rollout

### Define when a support case can close

In Flowbuilder, map the approved steps, tools, and escalation owner. The agent closes a case in the connected support system only when your resolution criteria are met.

[Flow Builder](https://www.assistable.ai/product/flow-builder) · [Tooling](https://www.assistable.ai/product/tooling)

### Test the boundaries before release

We exercise unavailable tools, ambiguous requests, and human handoffs. For outbound sales, we also configure Call Defense checks and test that opted-out contacts stay out of the calling flow.

[Evals & learning](https://www.assistable.ai/product/evals) · [Call Defense](https://www.assistable.ai/product/call-defense)

### Find a bad handoff before it repeats

Observations flag conversations that missed your criteria. Our engineers inspect the call trace, correct the flow, and test the change before it reaches the rest of the queue.

[Observations](https://www.assistable.ai/product/observations) · [Call tracing](https://www.assistable.ai/product/call-tracing)

## Managed delivery with a billing unit you can audit

We own implementation, release testing, monitoring, and improvements. Choose usage billing or define a billable result together, such as a handled CX conversation or a qualified sales appointment.

[Review enterprise deployment pricing](https://www.assistable.ai/pricing)

## Outcomes your systems can confirm

Reconcile handled conversations with case records and appointments with the sales calendar. Agree how reopened cases, repeat contacts, and duplicate bookings affect the count.

## Enterprise deployment questions

### Who owns updates after a managed enterprise AI agent goes live?

Assistable’s forward-deployed engineers manage integration, release testing, monitoring, and improvements within the agreed scope. Your team sets the operating policy, approves connected-system access, and names the person who owns escalations.

[Enterprise AI governance guide](https://www.assistable.ai/resources/enterprise/ai-governance)

### How can we test a policy change before it reaches customers?

Replay representative requests against the proposed flow. Include an unavailable tool, a missed handoff, and an opted-out contact for outbound sales. Review the trace and resulting record, then approve the version that follows your policy.

[Review agent evaluations](https://www.assistable.ai/product/evals)

### What counts as a handled conversation under outcome billing?

Your deployment agreement defines the unit. A CX team might require a case record showing an approved resolution. A sales team might require a qualified appointment in its calendar. Define how reopened cases, repeats, and duplicate bookings count before reconciling invoices.

[Enterprise pilot evaluation guide](https://www.assistable.ai/resources/enterprise/conversational-ai-evaluation)

[Talk to sales](https://www.assistable.ai/contact)

Source: https://www.assistable.ai/solutions/enterprises