$10,000 fixed implementation

AI takes over calls and first-line support

I replace manual handling of routine calls with AI: customer questions, confirmations, reminders and bookings. The agent works with your phone service and saves results in your CRM.

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A voice AI agent takes over routine call handling from operators or administrators: answering questions, collecting information, confirming appointments and saving results in your CRM. I implement it using my framework, connect your systems and train your team. The implementation package is $10,000; we agree the scope and running costs before work starts.

What the Agent Does

Work the agent handles in place of a staff member on the phone.

Handles incoming enquiries

Answers customers, clarifies their request and creates a record. I configure operating hours and connect the agent to your phone service.

Confirms, reminds and books

Appointment confirmations, payment reminders, status updates and calendar bookings. We choose the workflows your business needs and connect the relevant systems.

Qualifies and routes

Callers get the questions your team would ask: what they need, budget range, timeline, location. Qualified leads reach the right person with the transcript attached, and the rest get an answer without taking anyone's time.

Speaks in your voice, from your knowledge

I configure answers around your documents, prices and FAQs. We agree on tone, allowed topics and human handoff, then check responses on test calls.

Multilingual conversations

One number, several languages, and the agent switches to whatever the caller speaks without being asked. I tune English and Russian myself, and for anything else a native speaker checks the scripts before launch.

Human handoff rules you define

Anything sensitive, angry, or high-stakes goes to a person by a rule you set: warm transfer, callback request, or a message with the full transcript. The agent does not talk its way through a call it should not be handling.

How It Works

Discovery

We map what actually happens on your calls: the common requests, the edge cases, the questions that need a human, and the systems the agent has to reach — calendar, CRM, telephony. You approve a call flow spec before anything gets built.

Build and test

I build against that spec, wire the integrations, and run the agent through real scenarios including the awkward ones: bad audio, interruptions, a caller who changes their mind mid-sentence. Escalation rules and guardrails get tested as hard as the happy path.

Launch and tune

The agent goes live on a real number with monitoring on every call. The first weeks are iteration: I read the transcripts, adjust the prompts and the flows, and close the gaps they expose. You end up with the documentation, the accounts, and a system your team can run without me.

Why Me

AppMaster processes 11B+ tokens a month, so LLM systems in production are daily work here rather than a demo

I hold my own platform to 99.99% uptime, and the same discipline goes into a system that answers your phone

Users in 190+ countries: multilingual is how I build by default, and I work in English and Russian personally

Where This Fits

Voice is one piece of the AI work. These are the neighbouring ones.

AI consulting

The wider plan: which processes to automate first, what to leave alone, and what the running cost looks like once it is live.

See AI consulting

AI proof of concept

When the case is still unproven, a scoped PoC tests the idea on your real data before anyone commits to a full build.

See the PoC offer

Pricing

Compare the voice package, the team audit and ongoing CTO or advisory work.

See pricing

Frequently Asked Questions

How much does an AI receptionist cost?

Here it is a $10,000 fixed implementation: discovery, build, integrations, testing, launch, and handover with documentation. Running costs are separate and stay on your own accounts — the LLM API, the telephony provider, and the voice platform, all billed by usage. We size that monthly range during discovery, so you know the number before you commit.

Will it replace my receptionist?

Yes. AI can take over an administrator’s or operator’s routine call-handling work. I review the role, build the agent and connect your phone service, calendar and CRM. If that person also greets visitors or does work on site, we account for those duties when planning the new team structure.

What happens when the AI can't handle a call?

We agree on a transfer to staff, a callback request or a recorded message. Each path is tested before launch, with someone responsible for receiving the request.

Which languages does it support?

The underlying models handle most widely spoken languages, and the agent switches to the caller's language on the same phone number. English and Russian I build and tune myself. Other languages run through the same process, with a native speaker reviewing the scripts and the test calls before launch.

How is this different from an answering service?

An answering service takes a message and passes it on, so someone on your side still has to call back. A voice agent has the conversation and then does the work: checks availability, books the slot, updates the CRM, answers from your own documents, and routes the call to the right person. The money works differently too — an answering service bills per minute indefinitely, while here you pay once for the build and then only for the services it runs on.

What if we need more than phone answering?

The package includes calendar booking and agreed simple CRM actions. Complex workflows across several systems are priced separately as custom agent development. We confirm the exact integrations before starting.