Voice AI

AI Voice Agent for Business: Inbound and Outbound, Integrated to Your CRM

A voice agent that sits in your phone system, handles real calls, and writes the outcome back to your CRM is no longer a three-year roadmap item.

Inbound Voice: Handle Volume Without Scaling Headcount

High-volume inbound call queues are expensive to staff and unpredictable to forecast. An AI voice agent answers immediately, regardless of volume, and resolves the queries it is trained to handle: order status, appointment confirmation, basic support triage, account information lookup. Calls that require a human get transferred with a summary, so the agent hands off, not drops.

The inbound agent is grounded in your actual knowledge, connected to your live systems. It does not read from a static FAQ page. When a caller asks about an order, the agent queries the order system. When a caller wants to reschedule, the agent checks the calendar. This is the difference between a phone tree and a working voice agent.

Outbound Voice: Automated Follow-Up That Sounds Human

Outbound voice agents handle the follow-up calls that sales and support teams never have time to make consistently: post-purchase check-ins, payment reminders, appointment confirmations, lead reactivation sequences. The agent places the call, conducts a short structured conversation, and logs the outcome directly to your CRM, including what the contact said.

• Lead qualification calls: the agent calls new inbound leads within minutes, asks the qualifying questions your team would ask, and scores the result before routing to a human rep.
• Appointment confirmation and reminder calls: reduces no-shows by confirming the day before and giving the contact a one-touch option to reschedule.
• Payment and renewal reminders: a voice agent handles overdue payment conversations more consistently than an email sequence and captures payment intent signals that feed back to your billing workflow.
• Post-service satisfaction check-ins: a short call after service completion captures structured feedback without requiring the customer to fill out a form.

CRM Integration Is Not Optional

A voice agent that only talks is a demo. Digiton builds voice agents that write structured call outcomes back to the CRM record: disposition, intent signals, contact preferences, next action. The agent does not just log a call, it updates the deal stage, creates a follow-up task, or triggers the next step in the workflow, depending on what the conversation produced.

Supported integrations include HubSpot, Salesforce, Pipedrive, and custom CRMs via API. Each integration is built and tested as part of the agent deployment, not added later.

How Digiton Approaches Voice Agent Builds

Voice adds a constraint that text-based agents do not have: latency. A voice agent that pauses for two seconds before responding feels broken. Digiton optimises the full response chain, from the transcription layer through the reasoning model to the text-to-speech output, to keep response latency inside the range that sounds natural on a call.

Every voice agent goes through structured call testing before it handles a live line. Failure modes, unexpected caller inputs, and escalation paths are all tested in staging. See the broader context of agents built to run a role on the AI employees practice page.

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