AI Voice Receptionist Systems

Workflow: Online Booking & Payments

Before: With no online booking, every appointment came through phone and email — too slow for a solo owner, and invisible to anyone searching after hours.

Outcome: Bookings happen on their own, around the clock, with no staff time spent. The phone-and-inbox back-and-forth is gone — and that's admin the owner would otherwise pay someone to do.

System: Patients pick a free slot, pay, and get a confirmation on their own — day or night. Staff see every appointment in one live view. The clinic never has to ring anyone to fill a slot.

Workflow: 5-Role Clinical CRM

Before: Staff needed to handle patient records, signed consent, blood-test results, and GP letters across different roles — without paying for off-the-shelf software and without messy spreadsheets.

Outcome: Staff swap paper and spreadsheets for one tidy system with a full record of every action. Reading blood tests from a photo saves real time per patient, and locked consent means the clinic is legally covered from day one.

System: One system covers the whole patient visit: a guided intake form, signed consent that locks once it's done, AI that reads blood-test results straight from a photo, GP letters and invoices generated for you, and a record of every action for your protection. Each staff member only sees what their job needs.

Workflow: Run the Clinic by Text Message

Before: The clinic's content, SEO, and social tasks involve many steps across many tools. Without something tying them together, each one means remembering what to run and doing it by hand.

Outcome: The owner runs the whole clinic from their phone. The multi-step work happens reliably in the background, and the owner just sends a text.

System: All the automated steps — writing content, checking search, scheduling posts — are wired together to run reliably on their own. On top of that, a chat assistant lets the owner run everything from a text: approve a post, start a search check, check on the clinic, or kick off new content, with no dashboards to open.

Workflow: Online Booking & Payments

Before: There was no online booking. Drivers phoned or emailed to arrange medicals across 7 clinics, staff juggled the calendar by hand, and double-bookings were always one slip away.

Outcome: Bookings and payments happen without staff lifting a finger, double-bookings are designed out, and the phone-and-inbox scramble is gone.

System: Drivers book and pay themselves across any of the 7 clinics — by card, PayPal, or cash — and a built-in guard makes it impossible for two people to take the same slot. It's live and taking real payments today.

Workflow: One System to Run All 7 Clinics

Before: Seven clinics were run across scattered spreadsheets, paper, and disconnected tools, with no single view of the business.

Outcome: The whole business runs from one screen instead of scattered spreadsheets, invoicing for fleet and employer clients is handled in-house, and roughly 10 hours of admin a week disappears.

System: One system for everything staff need to run the clinics: a shared calendar, staff rotas, customer records, invoicing for fleet and employer clients, and reporting across the whole business — with each person seeing only what their role needs.

Workflow: Automatic Reminders & Renewal Nudges

Before: Driver medicals expire on a schedule, but nothing reminded anyone. Drivers missed appointments, and the business had no way to bring them back except hoping they remembered.

Outcome: Reminders and renewal nudges run on their own — the levers to cut no-shows and bring drivers back are in place, plus a 1,090-customer list rebuilt to re-engage. The measured impact lives in the client's analytics.

System: Reminders go out by text and email before each appointment, and renewal nudges fire automatically as a driver's medical nears expiry — all without staff touching it. From the old booking system, a list of 1,090 lapsed customers was rebuilt and made ready to win back.

Workflow: DVLA Fitness-to-Drive AI Assistant

Before: Drivers with medical conditions often don't know whether they must tell the DVLA or can sign off themselves. The answer depends on the exact condition — and general AI tools get it wrong far too often to trust.

Outcome: A documented, verified benchmark: 88% correct on DVLA clinical questions, against the best general AI's 46%. Built and benchmarked, ready for whenever the client chooses to switch it on.

System: An assistant that answers strictly from the DVLA's own fitness-to-drive guidance, then tested head-to-head against the leading general AI tools on a set of real clinical questions. In that benchmark it scored 88% correct against their best of 46%. It's built and benchmarked — going live is a decision for the client.