Will callers know they’re talking to AI?

They should. The agent says so at the start of the call and offers a person whenever the caller asks for one.

What happens when the agent can’t help?

It hands the call to a member of staff without dropping it. Where those handovers happen is decided before the build starts.

Which booking systems does it work with?

Any that can be reached through an API or an integration the voice platform supports. We check yours first, and if it can’t be connected you will know before you spend anything on a build.

There are two parts: building it, and running it, which is mostly a cost per call. We set out both, and how they compare with the time it saves, before you commit.

Systems we build

AI + automation

AI phone agents

Calls answered and booked, with a person a step away.

An AI phone agent can answer the calls your team can’t get to and book appointments while the caller is still on the line. We build them with a handover to a person at every step, and measure them against the team they support.

Start a project Talk it through first

Who it’s for.

Front-desk teams who spend much of the day on the phone
Businesses losing callers who hang up while they wait
Organisations with a booking system the agent can connect to

What it has to get right.

The right platform, chosen first: Voice platforms differ on telephony, data handling and cost. The platform is chosen against your needs and the architecture written down before anything is built.
Bookings made on the call: The agent connects to your booking system, so a caller can book an appointment from start to finish without waiting for a person.
A person a step away: Calls are routed so a member of staff can take over at any point without the call dropping.
Safe with personal details: Callers share personal information, so the agent runs on a platform with the security and data terms your business needs, signed off before it takes a real call.
Tested, then piloted: A full test pack passed before go-live, then a pilot on a few sites or lines before anything wider.
Measured against your team: Calls handled end to end, abandoned calls, bookings completed and caller satisfaction, each compared with how the team does today, with monitoring and a route for support.

Work that shows it.

What we built, how it runs and where each piece stands.

In-house work: our founder leads AI engineering at a multi-site UK organisation, which isn’t named here.

Questions.

Will callers know they’re talking to AI?: They should. The agent says so at the start of the call and offers a person whenever the caller asks for one.
What happens when the agent can’t help?: It hands the call to a member of staff without dropping it. Where those handovers happen is decided before the build starts.
Which booking systems does it work with?: Any that can be reached through an API or an integration the voice platform supports. We check yours first, and if it can’t be connected you will know before you spend anything on a build.
What does it cost?: There are two parts: building it, and running it, which is mostly a cost per call. We set out both, and how they compare with the time it saves, before you commit.

Planning something like this?

Tell us what you’re trying to build or fix. A few sentences is plenty; we’ll ask about the rest.

What happens next

1We read your message and reply by email.
2We talk it through on a short call.
3If we’re a good fit, you get a written plan.

AI phone agents

Who it’s for.

What it has to get right.

Work that shows it.

Agentic call handling: A voice agent that answers calls and books appointments

AI guard rails: Governance that every use of AI runs through

Questions.

Planning something like this?

What happens next

AI phone agents

Who it’s for.

What it has to get right.

Work that shows it.

Agentic call handling: A voice agent that answers calls and books appointments

AI guard rails: Governance that every use of AI runs through

Questions.

Planning something like this?

What happens next