Case Studies

Proven results across every industry

See how our AI agents help local businesses reply faster, book more and give their teams hours back every week, with outcomes you can measure.

6Industries covered
72 hrsAverage time to go live
+35%Average uplift in bookings and leads
24/7Always-on customer coverage

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Turning after-hours enquiries into booked viewings

A busy lettings agency stopped losing portal leads overnight by putting an AI agent on its website and WhatsApp.

The challenge

Most enquiries from portals and social media arrived in the evening and at weekends. With a small team, first replies took an average of four hours and many tenants had booked elsewhere by then.

Our solution

We deployed an AI leasing assistant on the website and WhatsApp. It answers questions about each property, qualifies tenants (budget, move-in date, pets, references), books viewings straight into agents' calendars and pushes every lead into the CRM with a summary.

  • 24/7 replies on WhatsApp and website chat
  • Instant qualification and viewing booking
  • Automatic CRM updates and agent hand-off
Sample Property Agencies AI agent conversation for Northgate Lettings
Northgate Lettings · Manchester

How the agent works

๐Ÿ“ฉEnquiry arrivesPortal, website or WhatsApp
๐Ÿค–AI qualifiesBudget, dates, requirements
๐Ÿ“…Viewing bookedSynced to agent calendar
๐Ÿ—‚๏ธCRM updatedLead, notes and source logged
๐Ÿ””Agent follow-upReminders and feedback request

Results

+42%
More viewings booked
2 min
Average first response (was 4 hrs)
18 hrs
Staff time saved every week

Before vs with The Agentry

BeforeWith The Agentry
Enquiries answered within 5 minutes
22%
96%
Leads fully qualified before viewing
35%
88%
Viewings attended (reminders on)
71%
92%

Viewings booked per month (first 6 months)

9657M1M2M3M4M5M6

Automation rate

81% of enquiries handled end to end by the agent
“We used to wake up to a pile of missed enquiries. Now the viewings are already in the diary before we have had breakfast.”Sarah Whitlock, Director, Northgate Lettings
↑ All case studies

Cutting no-shows and freeing up the front desk

A three-surgery dental practice automated booking, reminders and rescheduling so reception could focus on patients in the chair.

The challenge

The phone rang constantly during opening hours, calls were missed while staff were with patients, and around one in five appointments ended as a no-show or late cancellation.

Our solution

An AI receptionist handles new and existing patient bookings, answers treatment and pricing questions, sends smart reminders by SMS and WhatsApp and lets patients reschedule in one message. Urgent or sensitive requests are handed to a team member straight away.

  • Online and WhatsApp booking around the clock
  • Reminders with one-tap confirm or reschedule
  • Instant hand-off for emergencies
Sample Dental Clinics AI agent conversation for BrightSmile Dental
BrightSmile Dental · Leeds

How the agent works

๐Ÿ“žPatient makes contactPhone, web or WhatsApp
๐Ÿค–AI checks availabilityDentist, treatment and time
โœ…Appointment confirmedAdded to practice software
โฐSmart reminders48 hrs and 2 hrs before
๐Ÿ”Fill cancelled slotsOffered to the waiting list

Results

47%
Fewer no-shows
55%
Fewer inbound calls to reception
ยฃ3,100
Monthly revenue recovered

Before vs with The Agentry

BeforeWith The Agentry
Appointments attended
80%
93%
Calls answered first time
58%
100%
Slots refilled after cancellation
12%
64%

No-shows per month (first 6 months)

4018M1M2M3M4M5M6

Automation rate

74% of bookings completed without staff
“Our receptionists finally have time to look after patients properly. Fewer no-shows has made a real difference to the diary.”Dr Aisha Rahman, Principal Dentist, BrightSmile Dental
↑ All case studies

Faster client intake without compromising on care

A regional law firm replaced slow enquiry forms with an AI intake assistant that captures the right details first time and routes each matter to the right fee earner.

The challenge

Enquiries arrived by phone, email and web form with inconsistent detail. Fee earners spent about 25 minutes per call just gathering basics, and out-of-hours enquiries often went to competitors.

Our solution

A secure AI intake assistant asks structured questions by practice area, flags urgency, runs a preliminary conflict-check prompt and books a consultation with the best-matched fee earner. A clear summary lands in the case management system.

  • Structured intake by practice area
  • Urgency flagging and smart routing
  • Case-management summary and consultation booking
Sample Law Firms AI agent conversation for Hartley & Webb Solicitors
Hartley & Webb Solicitors · Birmingham

How the agent works

๐Ÿ’ฌEnquiry receivedWeb chat, email or phone
๐Ÿ“Structured intakeMatter type, parties, urgency
๐Ÿ›ก๏ธPre-screen checksConflict and eligibility prompts
๐Ÿ‘คRouted to fee earnerMatched by expertise
๐Ÿ“…Consultation bookedSummary sent to the case file

Results

76%
Shorter intake time (25 to 6 min)
+33%
More qualified matters
100%
Enquiries answered out of hours

Before vs with The Agentry

BeforeWith The Agentry
Intake completed in under 10 minutes
18%
91%
Enquiries with complete details
46%
94%
Out-of-hours enquiries answered
0%
100%

Qualified matters per month (first 6 months)

6036M1M2M3M4M5M6

Automation rate

68% of intake conversations completed by the agent
“Clients get an immediate, professional response and our solicitors receive a clean summary. It has changed how we start every matter.”Daniel Webb, Managing Partner, Hartley & Webb
↑ All case studies

Keeping tables full while the team stays focused on service

A busy restaurant group moved reservations, menu questions and waitlist management to an AI host available on WhatsApp, Instagram and the website.

The challenge

Phone bookings went unanswered during service, guests asked repeat questions about allergens and opening hours, and last-minute cancellations left tables empty on busy nights.

Our solution

The AI host takes reservations, answers menu, allergen and event questions, collects deposits for large parties and manages a live waitlist that automatically fills cancelled tables.

  • Reservations on WhatsApp, Instagram and web
  • Allergen and menu answers from your own menu
  • Waitlist auto-fills cancelled tables
Sample Restaurants AI agent conversation for Olive & Ember
Olive & Ember · Manchester

How the agent works

๐Ÿ’ฌGuest messagesInstagram, WhatsApp or web
๐Ÿค–AI host repliesMenu, hours, allergens
๐Ÿฝ๏ธTable reservedParty size and time checked
๐Ÿ’ณDeposit for large partiesSecure payment link
๐Ÿ“ฒReminder and waitlistCancelled tables re-offered

Results

+29%
More online bookings
31%
Fewer no-shows
12 hrs
Staff time saved every week

Before vs with The Agentry

BeforeWith The Agentry
Booking messages answered in 1 minute
30%
98%
Tables filled after cancellation
9%
57%
Guests arriving as booked
78%
91%

Online bookings per week (first 6 months)

154100M1M2M3M4M5M6

Automation rate

77% of guest messages resolved by the AI host
“Friday nights used to be chaos on the phone. Now bookings just appear, and the waitlist fills cancellations before we notice them.”Marco Bellini, Operations Manager, Olive & Ember
↑ All case studies

Instant tracking answers and faster quotes for a growing freight business

A regional freight company automated tracking updates and quote requests so the operations team could focus on exceptions.

The challenge

Dispatchers spent half their day answering "where is my delivery" calls and chasing customers for quote details, which delayed quotes by several hours and cost the business new work.

Our solution

An AI agent connected to the transport management system gives live tracking updates, collects quote details (pallets, weight, postcodes, dates), prices standard lanes automatically and escalates delays or exceptions to the right dispatcher.

  • Live tracking answers from your TMS
  • Guided quote capture and instant pricing
  • Exception alerts to dispatchers
Sample Logistics AI agent conversation for SwiftRoute Freight
SwiftRoute Freight · Midlands

How the agent works

๐Ÿ“จCustomer asksTracking or new quote
๐Ÿ”—Agent checks TMSLive status and ETA
๐Ÿ’ฌInstant answerUpdate sent on WhatsApp or email
๐ŸงพQuote generatedStandard lanes priced automatically
๐ŸšจExceptions escalatedDelays flagged to dispatch

Results

68%
Tracking queries automated
15 min
Quote turnaround (was 6 hrs)
+21%
Higher quote conversion

Before vs with The Agentry

BeforeWith The Agentry
Tracking queries resolved instantly
12%
68%
Quotes sent within 30 minutes
24%
89%
Delay alerts sent proactively
5%
83%

Quotes issued per week (first 6 months)

10852M1M2M3M4M5M6

Automation rate

68% of customer queries handled automatically
“Our dispatchers now deal with real problems instead of status calls. Customers love getting a quote while they are still on the phone.”Priya Nair, Head of Operations, SwiftRoute Freight
↑ All case studies

Resolving support tickets and recovering carts automatically

A fast-growing online homeware brand used an AI agent to handle order queries, returns and abandoned baskets across chat and email.

The challenge

Order-status and returns tickets made up most of the inbox, replies took up to a day during sales, and abandoned carts were rarely followed up.

Our solution

The agent connects to the store platform to answer order and delivery questions, starts returns and exchanges, recommends products and follows up abandoned baskets with helpful, personalised messages. Complex cases go to the support team with the full conversation.

  • Order status, returns and exchanges handled automatically
  • Personalised abandoned-cart follow-ups
  • Full context passed to the team when needed
Sample E-commerce AI agent conversation for Lumen & Co
Lumen & Co · Online retailer

How the agent works

๐Ÿ›๏ธShopper needs helpChat, email or Instagram
๐Ÿ”ŽAgent checks orderStore platform and carrier data
โ†ฉ๏ธResolves or returnsLabels and refunds started
๐Ÿ›’Recovers cartsPersonalised follow-ups
โญFeedback requestedReviews and CSAT tracked

Results

62%
Tickets resolved automatically
+18%
More abandoned carts recovered
4.7/5
Customer satisfaction (was 4.3)

Before vs with The Agentry

BeforeWith The Agentry
Tickets answered within 5 minutes
17%
94%
Returns started without staff
8%
71%
Abandoned carts recovered
6%
24%

Tickets handled by staff per week (first 6 months)

987342M1M2M3M4M5M6

Automation rate

62% of tickets resolved without a human
“During our biggest sale the support inbox stayed calm for the first time. The agent just handled it.”Tom Garrity, Customer Experience Lead, Lumen & Co
↑ All case studies

Case studies are illustrative examples based on typical outcomes for each sector. Results vary by business.

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