Start a project

AI OPS / 02 · Inbound calls · qualification · booking

A 24/7 AI receptionist that answers, qualifies and routes real customer calls.

CMake Studio builds inbound AI receptionist systems for service businesses. The agent can answer approved FAQs, collect caller details, qualify requests, book appointments, send summaries and escalate when a human is needed.

FAST START

Start with one inbound call flow, prove it on real calls, then expand only after the workflow is reliable.

Payment is handled through PayPal after scope confirmation so the transaction and invoice trail stay with the buyer and CMake Studio.

WHO IT FITS

A narrow problem with a measurable before and after.

01

Service businesses losing calls after hours or while staff are busy

02

Teams repeatedly answering the same basic questions

03

Businesses that need qualified caller details before a human follows up

04

Appointment-based companies that want calls connected to a calendar workflow

PACKAGES

Buy a concrete first outcome instead of an open-ended AI project.

These are launch prices for tightly scoped work. If the input is materially larger or more complex, the exact scope is confirmed before any payment request is sent.

Best starting point

Booking Receptionist

€890

Calls + scheduling

✓Everything in Pilot
✓Calendar integration
✓Booking confirmations
✓Escalation rules

Managed Reception

From €190/mo

Monitoring + improvements

✓Monthly tuning
✓Knowledge updates
✓Workflow monitoring
✓Usage / provider costs billed separately

DELIVERY

The useful output is defined before the automation starts.

AI is used where it improves throughput, but deterministic validation and explicit exceptions stay part of the workflow.

01Inbound call flow design
02Business FAQ / knowledge setup
03Lead capture and qualification
04Call summaries by email or CRM webhook
05Appointment-booking integration where applicable
06Human escalation rules
07Failure / fallback behavior
08Launch testing and operating notes
PROCESS

Fast is useful only when the handoff is still reliable.

01

Map the calls

We define why people call, what the agent may answer and when it must transfer or stop.

02

Connect business knowledge

Approved services, hours, locations, FAQs and qualification rules are turned into a constrained operating context.

03

Integrate the workflow

Calendar, email, CRM or webhook actions are connected only where they are actually needed.

04

Test difficult calls

The agent is tested against unclear requests, interruptions, unsupported questions and escalation cases before launch.

FAQ

Before you send the first file or call flow.

01Does the AI make outbound cold calls?+

The default offer is inbound-first. Outbound calling has additional consent, carrier-policy and regulatory considerations, so it is scoped separately rather than enabled by default.

02Can it book appointments?+

Yes, when the business has a supported calendar or booking workflow and clear availability rules.

03What if the AI does not know the answer?+

The call flow includes explicit fallback and escalation behavior. It should not invent business policies, prices or promises.

04Do I have to replace my phone number?+

Not necessarily. The final setup depends on the telephony provider and current number configuration; forwarding is often possible.

Ready to test it on real work?

Start with one fixed-scope batch. Expand only if the result earns it.

Start now