Skip to content
Applied AI

AI voice agents that book into the systems you already run.

We build voice agents that answer your phone, qualify callers and write the result straight into your scheduling system or CRM. Our voice agent development work is for businesses where an off-the-shelf AI receptionist can't reach the system that matters.

A steel studio microphone on a desk stand with a coiled blue cable.
On this page

What a voice agent does for you

A voice agent is software that answers or places phone calls and holds a real conversation. We build them for three jobs:

  • Inbound calls. The agent answers on the first ring, books, moves or cancels appointments against your rules, and transfers to a person with the details attached when the caller needs one.
  • Outbound calls. It rings new leads back while they are still interested, confirms appointments, and records the outcome in your CRM.
  • After-hours calls. It takes the 11 p.m. booking that would otherwise have gone to voicemail or to a competitor.

Built inside the system of record

What separates a voice agent from an answering service is where the call ends up. An agent that takes a message has handed the work back to your staff. Ours finish the job in the system your team already works in.

Two we have built:

  • A 26-provider dental group was losing three or four calls in every ten at peak times. We put an agent inside the practice's scheduling system. It answers on the first ring, books against the practice's own scheduling rules, and runs on a server inside the practice, so patient audio never leaves its network. Read the case study.
  • A B2B services firm was losing leads because follow-up depended on who had time. We built a calling agent that qualifies inbound leads and handles callbacks, connected to Salesforce, HubSpot, Twilio, Microsoft Teams and Slack. Read the case study.

When to buy a subscription instead

Subscription AI receptionists are good products. For a single location on a common scheduling system with a few hundred calls a month, one of them is probably the right purchase, and it will cost less than anything we would build. Smith.ai, for example, publishes AI receptionist plans from $150 a month.

A custom agent is worth it when at least one of these is true:

  • You have several locations, providers or appointment types, and the booking rules are yours rather than the vendor's.
  • Your scheduling system, EMR or CRM isn't one the subscription supports, or it runs on your own servers.
  • Patient or customer audio must stay on your network.
  • Your call volume makes per-call pricing more expensive than running your own agent.
  • You need the agent to do more than book: check eligibility, update a record, or trigger a workflow.

Our guide to what an AI voice agent costs works through the numbers for all three options, using the vendors' published prices. If you run a dental practice, our guide to choosing an AI receptionist for a dental office covers the vendor questions as well.

How we handle patient and customer data

  • The agent can run on hardware inside your network, as it does for the dental group, so audio and transcripts stay with you.
  • For health data, a Business Associate Agreement is available, and protected health information is handled under technical safeguards. Our guide to HIPAA compliant app development explains what those are.
  • Your data is not used to train anyone else's model, and that is written into the contract.
  • Anything that changes a record in a way that matters has a human check, or a clear route back to one.
  • Our ISO/IEC 27001:2022 certificate covers generative AI work by name. Read the scope.

How a project runs

  1. We start small: either the two-week Automation Audit, or a scoped pilot against your own calls with a success threshold agreed before it starts.
  2. We build in two-week increments, and you get working software at the end of each one, in a repository you own.
  3. We test against real call patterns before any caller reaches the agent, including the calls it should hand to a person.
  4. It launches with a runbook and a named engineer on call. Our support commitments start at a one-hour response to an outage, any day.

Questions we get asked about voice agents

Will callers know they are talking to AI?

That is your decision, and we recommend yes. Either way, a caller who asks for a person should reach one with the context passed along, and that is how we build the handoff.

What systems can it connect to?

Anything with a usable interface: an API, a database it can safely read and write, or a SIP phone line. We have built against a dental scheduling system and against Salesforce and HubSpot. If your system's interface isn't good enough, the audit says so before you spend money on a build.

How accurate is it?

It depends on your calls, so a vendor's benchmark tells you little. The pilot has a success threshold agreed in advance and measured on your own call patterns.

What does it cost to run?

It depends on call volume and on whether you use a hosted voice platform or run the agent yourself. The cost guide has the published per-minute and per-call prices.

// FIXED-FEE EVALUATION

The Automation Audit

One workflow you name, mapped end to end, with the arithmetic done before anyone writes code.

Scope
One workflow you choose, traced end to end, including the steps nobody documented.
Duration
Two weeks, fixed.
Fee
Fixed, and quoted in full before we start. No hourly drift.
You get
A written map: what can be automated, what it would save in hours, what building it would cost, and what we would leave alone.
You keep it
The map is yours whether or not you hire us to build anything.
The TechLand Commitment

And if the audit shows the automation will not pay for itself inside twelve months, we will tell you, and we will not quote the build.

Start with the audit