Telephony

AI Voice Calling & Virtual Receptionists

Answer every call, take the booking, log the outcome and transfer when a person is needed.

What this is

A voice agent on your existing number that answers at peak, in the evening and at weekends. It handles routine requests end to end, confirms critical details back to the caller, logs a structured outcome to your CRM and warm-transfers anything it should not handle.

The problem

What this solves

If more than one of these is familiar, there is usually a case worth scoping.

Calls go unanswered at peak and out of hours, and callers do not call back.
Reception time goes on routine booking, status and directions questions.
IVR menus frustrate callers without resolving anything.
Call outcomes are never logged consistently.

How it works

The shape of the build

Indicative. The final design follows your systems, data and constraints.

A voice agent on your existing number: speech in, business systems updated, clean human transfer.

Connect
Integration with your existing number through SIP or your telephony provider.
Answer
Low-latency speech handling with barge-in, so the caller is not talked over.
Resolve
Bookings, status and routine requests completed through scoped API access.
Confirm
Dates, amounts and identifiers read back before anything is committed.
Transfer or log
Warm transfer with context, or a structured outcome written to your CRM.

Scope

What is included

Deliverables you receive, in your own infrastructure and repositories.

Voice agent handling defined inbound call types end to end
Outbound reminders and confirmations where lawful and consented
Telephony integration keeping your existing numbers and routing
Calendar and CRM integration for booking and outcome logging
Warm transfer with context, plus voicemail fallback
Recordings, transcripts and containment reporting

Outcomes

What changes once it is live

Operational changes you should expect. We measure the specific numbers for your business rather than quoting generic figures.

Every call answered, including evenings, weekends and peak periods
Routine calls resolved without occupying reception
Consistent, structured call outcomes in the CRM
Fewer missed bookings and fewer no-shows from reminder calls

Worth knowing: Outbound calling obligations differ by jurisdiction and depend on your consent records. We build in disclosure, consent checks, calling-hour limits and do-not-call handling, and we recommend confirming your specific obligations with your legal advisers.

Existing platforms

Products that already cover this ground

Where one of our commercial platforms fits your model, starting there is faster and cheaper than a bespoke build. We assess fit honestly first.

Digital sales & support agent

SIZH Virtual Agent

A virtual digital agent for sales, support and reception — trained on your business, live on WhatsApp, web, voice and email.

View product

Delivery

How we run the engagement

Our approach

Discovery

Process walkthroughs, data review, constraints and a written scope you sign off before build.

Architecture

Data model, integration boundaries, hosting and the security model, agreed up front.

Proof of concept

A narrow build on your real data against an agreed quality bar, so the go-ahead is evidence-based.

Development

Two-week increments, each ending in a working deployment and a review.

Testing

Automated coverage on critical paths, evaluation sets for AI behaviour, acceptance testing with your users.

Deployment

Staged rollout into your infrastructure with monitoring and a tested rollback path.

Monitoring & support

Quality, cost and latency tracking after launch, with handover documentation or an ongoing retainer.

Questions