Real businesses. Real results.

Case Studies

How local UK businesses are using Rutspin AI to recover missed calls, reduce admin, and grow without adding headcount.

+47%

Average missed call recovery

4.5 hrs

Average admin time saved weekly

£18,200

Average revenue impact (year 1)

< 2 min

Average response time to enquiries

AI VoiceGarage & MOT

Hitchin Garage & MOT Centre

Hertfordshire

The Problem

The garage was missing 12–15 calls per week during busy bay hours and on Saturdays. Technicians couldn't step away to answer the phone, and missed callers rarely left voicemails. The owner estimated that at least 30% of those callers were looking to book MOTs or service work.

The Solution

Rutspin deployed an AI Voice receptionist configured around the garage's services, pricing, and availability. It answered every call, captured booking intent, screened urgency, and sent a summary to the team. Out-of-hours calls were handled automatically with a follow-up SMS sent the next morning.

The Results

+41%

Missed call conversion rate

£2,200

Additional revenue in month one

100%

Calls answered, no voicemail

3 hrs

Admin time saved per week

"We stopped losing Saturday bookings overnight. The AI handles it so we don't have to think about it."

— Owner, Hitchin Garage

AI VoicePest Control

Coastal Pest Solutions

Essex

The Problem

Evening and weekend enquiries were going unanswered. Customers dealing with pest emergencies would call once and then move to the next listing. The business was losing urgent, high-intent customers who simply couldn't wait until Monday morning.

The Solution

An AI Voice assistant was set up to triage incoming calls by urgency — routing genuine emergencies to an on-call number and capturing non-urgent jobs for morning follow-up. The AI was trained on the business's pricing, service areas, and common pest scenarios.

The Results

+67%

Out-of-hours jobs booked

£3,800

Revenue recovered in 6 weeks

4.9★

Google rating maintained

0

Emergency calls missed

"Customers kept saying "I called late but someone got back to me straight away." That never used to happen."

— Director, Coastal Pest Solutions

AI SMSDental Practice

Smile Studio Dental

Birmingham

The Problem

The front desk was overwhelmed with repeat enquiries about NHS vs private availability, appointment costs, and waiting times. Receptionists were spending 40% of their day on informational calls rather than managing the diary. Missed calls during lunch were generating patient complaints.

The Solution

Rutspin implemented AI SMS follow-up for all missed calls and a web chat assistant for common FAQs. The AI handled routine enquiry types automatically, freeing the front desk to focus on new patient registration and clinical admin. Bookings were routed through the practice management system.

The Results

−38%

Informational calls to front desk

+28%

New patient enquiries converted

2 min

Average response time to enquiries

£1,600

Admin cost saved per month

"The team actually has time to focus on patients now. The AI deals with all the repetitive questions."

— Practice Manager, Smile Studio Dental

AI SMSLandscape Gardening

Greenleaf Landscaping

Surrey

The Problem

The business was generating strong enquiry volume through Instagram and Google but losing leads before they could respond. Two-person team on site all day meant phones went unanswered. Quotes requested online had a 48–72 hour response time, by which point many prospects had moved on.

The Solution

AI SMS follow-up was deployed to instantly acknowledge all missed calls and web form submissions. The AI captured project type, location, and rough budget, and confirmed a callback time with the prospect — arriving in the owner's inbox as a pre-qualified booking.

The Results

+53%

Lead-to-quote conversion rate

< 90s

Average response time to missed calls

£4,100

Additional project revenue in Q1

22

Extra site visits booked in first month

"I used to lose half my leads before I even knew about them. Now every enquiry gets a proper response within a minute."

— Owner, Greenleaf Landscaping

AI VoiceSolar Installation

Midlands Solar Group

Coventry

The Problem

High-value solar enquiries were dropping off because installation teams were on rooftops all day and couldn't take calls. Competitors with faster response times were winning quotes on the same leads. A single missed installation enquiry represented a potential £6,000–£12,000 opportunity.

The Solution

AI Voice was configured to answer calls, qualify the caller's property type, roof access, and interest in battery storage, and immediately book a survey slot. The system integrated with the team's scheduling system so availability was always accurate.

The Results

+44%

Survey bookings from inbound calls

£18,400

Additional revenue in first quarter

0

Inbound calls going to voicemail

8 min

Average time from call to survey booked

"We were losing £10k+ jobs to competitors just because we couldn't pick up the phone on site. That's fixed now."

— Sales Director, Midlands Solar Group

AI SMSSpiritual Practitioner

Serenity Readings

Hertfordshire

The Problem

A busy psychic medium and spiritual coach was missing enquiries from grieving clients and workshop attendees while in private sessions. Facebook messages, website forms, and missed calls were going unanswered for hours — damaging trust before the first conversation had even taken place.

The Solution

AI SMS was configured to warmly acknowledge all missed calls and messages, capture the person's name, what support they were looking for, and preferred contact time. Workshop and event enquiries were handled automatically with availability confirmation sent within seconds.

The Results

+60%

Enquiries converted to bookings

100%

Enquiries acknowledged within 2 min

£1,800

Additional monthly booking revenue

5 hrs

Admin time saved per week

"The people who reach out are often going through something difficult. Knowing they get a warm response immediately — even when I am with someone — means everything."

— Founder, Serenity Readings

Could your business be the next case study?

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