Meet Enigma: The AI Agent Turning Property Enquiries Into Booked Viewings 24/7
Estate agents lose 60% of leads outside business hours. Enigma responds in under 90 seconds, qualifies every enquiry, and books viewings — while you sleep.
Real stories, real results. How AI-first thinking is transforming businesses we work with — and the industry at large.
How London Heathrow Cars went from Covid-decimated operations to an AI-powered growth engine — and what this partnership means for the future of mobility.
Read Case StudyEstate agents lose 60% of leads outside business hours. Enigma responds in under 90 seconds, qualifies every enquiry, and books viewings — while you sleep.
Manual LinkedIn outreach averages a 4% reply rate. Alpha's AI-personalised messages hit 21% — by reading prospects' posts before connecting. Here's how.
Poor onboarding is the #1 driver of early churn. RelyOn.io guides every user to their first "aha moment" automatically — cutting churn by 40% within 60 days.
Your CS team can't manually monitor 200 accounts for early warning signals. Vela does — scoring every account daily and firing intervention playbooks automatically.
Agentic AI isn't just automation. It's AI that plans, decides, and acts on your behalf. Here's what that means for your business.
Most small and mid-size businesses are running cloud infrastructure the same way enterprises did in 2015. AI changes the economics entirely.
London Heathrow Cars (LHC) is a private hire and airport transfer company based in the UK, operating primarily around Heathrow Airport and Greater London. Before the pandemic, LHC had built a solid reputation for reliable, professional airport transfers — a business where trust, punctuality, and word-of-mouth are everything.
Like the vast majority of companies in the mobility and ride-hailing sector, LHC was deeply dependent on a single revenue stream: international air travel. When passengers fly, they need airport transfers. When passengers stop flying, the business stops with them.
When the pandemic hit in March 2020, the UK aviation industry ground to a halt almost overnight. Heathrow Airport — one of the busiest in the world — saw passenger numbers collapse by over 80%. For a business like LHC, this wasn't a downturn. It was an existential crisis.
The company survived — through sheer resilience, personal sacrifice, and operational discipline — but emerged from the pandemic years smaller, leaner, and facing a very different competitive landscape. The private hire market had shifted. Aggregator apps had gained market share. Customer expectations had changed. And the growth that had felt inevitable before 2020 now required an entirely new strategy to achieve.
Recovery had begun. But recovering is not the same as growing. To compete and win in 2026, LHC needed more than a return to normal. They needed to build something new.
That's where we came in. ItWorks was introduced to LHC through a mutual connection in early 2026. Our initial discovery call made one thing immediately clear: LHC was not short of ambition, experience, or customer relationships. What they lacked was the operational infrastructure to scale — the systems, automations, and intelligence layer that modern growth demands.
Our role in this engagement isn't just technical. We're acting as an embedded AI Growth Consultancy — sitting inside the business as a strategic partner, mapping every workflow, identifying every friction point, and deploying AI tools and agentic systems to remove them one by one.
Before writing a line of code or deploying a single tool, we spent time understanding LHC's actual operational reality. The Discovery phase surfaced five core challenges that were silently holding growth back:
Enquiries were coming in through multiple channels — phone, email, web form, WhatsApp — but there was no unified system capturing and following up on every lead. A significant number of potential bookings were falling through the cracks due to response delays or inconsistent follow-up.
LHC had a loyal customer base built over years. But there was no systematic way of re-engaging past customers, prompting repeat bookings, or staying top-of-mind between journeys. Retention was happening by accident rather than by design.
Driver scheduling, job dispatching, and fleet coordination were handled manually — creating bottlenecks, errors, and an upper ceiling on how many bookings could realistically be managed at once. Growth would inevitably hit an operational wall.
In a post-Covid world where passengers increasingly book online, LHC's digital footprint didn't reflect the quality of service they delivered. SEO, review management, and content were all underinvested — meaning competitors with worse services but stronger online presence were winning bookings LHC deserved.
Decisions were being made based on experience and intuition — valuable, but insufficient. There was no dashboard showing which channels drove the most profitable bookings, which customers had the highest lifetime value, or when to expect seasonal demand peaks.
With the diagnosis complete, we designed a phased AI transformation programme. Here's the full architecture of what we're deploying — some already live, some in build, all on a clear delivery timeline.
An intelligent agent that handles inbound enquiries 24/7 across WhatsApp, email, and web — qualifying leads, capturing details, and confirming bookings without human intervention.
Multi-step AI sequences that nurture every enquiry: instant acknowledgement, quote delivery, reminder nudges, and post-journey review requests — all on autopilot.
A real-time view of bookings, revenue, customer lifetime value, and channel performance — so every business decision is backed by data, not guesswork.
Segmented email and WhatsApp campaigns triggered by behaviour: lapsed customers, seasonal peaks, flight-based retargeting, and loyalty rewards — all personalised at scale.
Automated review request flows, AI-drafted responses to Google and Trustpilot reviews, and sentiment monitoring to protect and grow LHC's digital reputation continuously.
An AI layer over operations that suggests optimal driver assignments, flags conflicts, and handles pre-trip communications — reducing manual coordination by 70%+.
Audit of all existing tools and data sources. CRM setup and data migration. Integration of booking channels into a unified inbox. AI booking assistant prototype deployed.
Automated follow-up sequences live. Review request automation launched. First email campaigns to lapsed customer segments. Performance dashboard deployed.
Full agentic booking assistant live across all channels. AI-driven marketing calendar deployed. Smart dispatch pilot launched. SEO content programme begins.
Monthly performance reviews. AI model fine-tuning based on booking data. New automation opportunities identified. Continuous compounding of growth gains.
The term "Agentic AI" gets thrown around a lot in 2026, but for LHC it has a very specific, practical meaning. It means building AI systems that don't just respond — they initiate, decide, and act on behalf of the business within defined boundaries.
Consider a customer who made three bookings in 2024 but hasn't returned since. A traditional CRM might flag them. A human might remember to call. An Agentic AI system detects the lapse automatically, identifies their historical travel patterns, cross-references upcoming flight schedules at Heathrow, and sends a hyper-personalised re-engagement message — without anyone pressing a button.
The ambition here is not to replace the human touch that makes LHC great. It's to use AI to ensure that every customer interaction — from first enquiry to post-journey follow-up — feels as attentive and professional as LHC's best drivers on their best days. Consistently. At scale.
This engagement is live and active. We're watching a set of KPIs closely as our automations go live and build momentum:
At ItWorks, we're an AI-first managed services team. We build technology for businesses. But the work we do with LHC is something we're particularly proud of — because it represents exactly what AI-first consulting should look like in 2026.
It's not about selling software licences or deploying a chatbot and calling it innovation. It's about sitting inside a real business that survived something devastating, understanding what they need to grow, and building the exact right combination of tools, automations, and intelligent systems to get them there.
The private hire and airport transfer sector is underserved by technology. Most operators are running on manual processes, WhatsApp groups, and spreadsheets. The opportunity for a business like LHC — which has the reputation, the fleet, and the market relationships — to leap ahead of the competition through AI is enormous.
We're building that advantage, one automation at a time. And we'll be documenting the results here as they come in.
Every business has a version of what LHC is going through — growth bottlenecks that technology can remove. Let's find yours in a free Discovery Call.
Book a Free Discovery Call