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An AI front desk that is more than a phone agent

KeenCraft built Dynaris, an AI front desk for multi-location businesses that unifies voice, chat, and email into a single customer thread rather than treating the phone as a standalone agent. The system runs voice agents and tools as isolated MCP-based services per workspace, with multi-agent execution, session-level checkpointing, graph caching, and persistent workflow state, and connects Gmail via Composio. The company argues that adding channels before the booking write path works only spreads a broken booking across more inboxes.

by read3 min views1 publishedSep 23, 2026

The caller already emailed. The email already has the location, the service, and a photo of the problem. Then they call, and the agent asks for their name as if the business has never heard of them. That is not a voice-model failure. It is a front desk that only exists on the phone.

An AI front desk owns the customer across voice, chat, and email. It is not a phone bot with a separate inbox beside it. We built that pattern on Dynaris for multi-location businesses: inbound coverage, booking, and follow-up, with tools isolated per workspace and Gmail on the same thread as the call.

A production AI voice agent still has to book. The checklist for latency, barge-in, and calendar writes is in how we ship production voice agents. This post is about the next question: what happens to the customer who does not stay on that one call.

Staff experience one person who emailed, called, and then typed into the website chat because nobody confirmed the slot. Three tools each store a fragment. The fragment that wins is whichever inbox a person opens first. Attribution, medical history, and the job address get retyped until one of them is wrong.

Takeaway: If a second channel cannot see the first channel's outcome, you did not add coverage. You added a second place for the booking to be wrong.

Dynaris is a live AI front desk built for multi-location operations. Inbound coverage, booking, follow-up, and alerts share one customer thread across voice, chat, and email. Gmail is connected through Composio, so a mailbox is not a side system the agent is forbidden to know about.

The execution layer is multi-agent, with session-level checkpointing, graph caching, and persistent workflow state. A long task can stop and resume without a human reconstructing what the last step wrote. That is what makes follow-up auditable: the next action is a continuation, not a new guess.

VoiceCake is the inbound phone proof for dental, healthcare, fitness, and mortgage clients: real appointments on the live schedule. Dynaris is the proof that the phone is not the whole desk. A practice that only needs nights covered should start with an after-hours receptionist. A business whose customers already cross channels should not stop at the handset.

Multi-location systems fail when workspace A can call workspace B's calendar or read workspace B's mailbox. Dynaris runs voice agents and tools as separate MCP-based services so each workspace has its own tool servers. That isolation is a security and correctness requirement. A shared tool process with a location id in the prompt will eventually book the wrong site.

The same rule applies to the CRM write. Source, location, and channel are fields, not a sentence in a note. How those fields survive into HubSpot, Salesforce, Zoho, or a custom system is covered in CRM automation that writes back. The front desk's job is to put them on the thread before a person has to.

Build the phone agent when one number, one calendar, and one outcome (book or take a message) describe the business. Adding chat and email before that write path works will spread a broken booking across more inboxes. Fix the appointment first. Then attach the channels customers already use.

Originally published on the KeenCraft blog. I write there about production voice AI, multi-agent workflows, and CRM integrations. Happy to answer questions about the MCP isolation setup in the comments.

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