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Enterprise conversational AI

Every conversation. A useful next step.

Build voice and messaging agents around the work that grows your business. Qualify a lead, connect a customer with your team and put the right tools behind the conversation.

Everything you need to
launch and scale AI agents.

Build, test and deploy voice and messaging agents with the tools and visibility your business needs.

Control

Set the boundaries.

Choose what your agent knows, the tools it can use and when to bring in your team.

Build

Design the next step.

Connect questions, decisions and actions, from qualification to a booking or handoff.

Test

Validate before launch.

Review draft conversations and tool actions. Publish the version you’ve tested.

Channels

Keep the context.

Keep contact details and history connected across voice, SMS, WhatsApp and web chat.

Visibility

See what happened.

Follow the transcript, tool actions and outcome to understand every conversation.

Integrations

Connect your systems.

Put your CRM, calendars and business tools to work through integrations, webhooks and APIs.

Assistable flow builder showing a visual agent workflow

The Assistable flow builder. Design, test and publish your agent’s workflow.

Build around your process

Design questions, branches and actions in the visual flow builder. Give each agent the knowledge, tools and direction to move the conversation forward.

Connect the systems you use

Connect calendar, contact and API actions to the conversation. Turn a customer's request into a useful next step in the systems your team already uses.

Test before you publish

Build and test changes in a draft or branch while customers use the published flow. Review the conversation and tool actions, then publish the version that is ready.

Keep the context

Let website visitors move between chat and voice within a conversation. Bring people into phone calls with a warm transfer that briefs them on the customer's needs.

Control what AI can do.
See what it actually did.

Define what agents can do. Choose what goes live. Review the conversations that need your attention.

Example pricing request

Outside-policy example: no custom price is quoted. The request is routed to sales and retained in the illustrative record.

Rules & guardrails

Define the allowed path.

Set approved answers and actions. Send exceptions to your team with the context to act.

Illustrative pricing flow: a request for a discount falls outside the approved rate. The agent withholds a quote and routes the request to sales. Both paths remain visible.
Versions & branches

Choose what goes live.

Make and test changes on a branch. Publish the version you choose, with earlier versions kept in history.

Illustrative release: a draft branches from production version 12, the pricing rule is edited and tested, then deliberately published as version 13. Version12 remains in history. This illustrates a manual release, not an automatic approval gate.
Observations & alerts

Review the decision.

Inspect the request, rule and action. Route conversations that need attention to the people who can help.

Illustrative audit record: a discount request is evaluated against the approved-rate policy. No custom price is quoted; the request is escalated. Example notification destinations are Slack, Gmail and a call. No message or call is actually sent.

Conversations connected to your operation.

Enterprise conversational AI brings voice, messaging and business actions together. Assistable helps your team build agents around your processes, connect useful tools and bring in a person when the conversation needs one.

Explore enterprise voice AI for calling workflows, or explore the HighLevel integration for connected CRM and agency workflows.

Measure the work that moves forward.

Give your people more time for the conversations that grow your business. Build toward qualified leads, confirmed appointments and informed handoffs, with clear outcomes for your team to measure.

See customer-reported stories and a recorded call handoff. Plan your pilot with the enterprise evaluation guide.

Agree on the operating requirements.

Build around your systems, data requirements and way of working. Define the rollout, testing and support with our team before expanding into production.

Review AI governance, reliability checks, the trust center and deployment pricing.