Example builds

A look at the engagements we build, across the industries we work in: the problem, what we put in place, and the outcomes we scope toward. Each is a representative build rather than a named client; we publish results with a client's permission, never without it.

Example engagement · Lettings

Portal enquiries answered and viewings booked without a negotiator touching them

The problem

A two-branch independent letting agency gets Rightmove and Zoopla enquiries into a shared inbox around the clock. Evening and weekend leads wait until the morning, and applicants have often booked with whoever replied first.

The build

An assistant reads each enquiry as it lands, asks the qualifying questions (move date, budget, pets, guarantor position), offers real diary slots, books the viewing, confirms it, and files the applicant into the CRM for a negotiator to approve.

The numbers we scope toward

First reply to every enquiry within minutes, at any hour
Viewings booked and confirmed without staff involvement
Complete applicant records in the CRM, ready for referencing

Example engagement · Healthcare

A dental practice that never sends a new patient to voicemail

The problem

A private dental practice with one receptionist misses calls whenever the desk is busy or the practice is closed. Web-form enquiries are answered the next day. New patients who cannot get through tend to ring the next practice.

The build

An AI receptionist answers email, web-form and missed-call enquiries in seconds, explains fees and availability from the practice's own materials, books straight into the practice diary and logs the patient. Anything clinical or unusual is handed to a person with the conversation attached.

The numbers we scope toward

Every enquiry answered and offered a slot, including after hours
Reception time freed for the patients in the building
A weekly count of enquiries recovered that would have gone elsewhere

Example engagement · Recruitment

CV screening done before the consultant sits down

The problem

A 12-person recruitment agency receives 150+ applications a day across job boards and email. Consultants spend their mornings reading CVs, copying details into the CRM, and sending the same first-touch emails.

The build

An AI pipeline reads every incoming CV, extracts and scores candidates against the role spec, writes them into the CRM with a summary, and drafts a personalised first-touch email for the consultant to approve.

The numbers we scope toward

Most of the daily screening time handed back to consultants
First response to strong candidates in under 10 minutes
CRM data complete and consistent

Example engagement · E-commerce

Routine support tickets answered before a human sees them

The problem

An online retailer's two-person support team is buried in "where is my order?", returns and product questions - same answers, different customers, every day.

The build

An AI support agent connected to the order system and returns policy resolves routine tickets end-to-end with accurate, order-specific answers and hands anything sensitive to a human with full context attached.

The numbers we scope toward

A majority of routine tickets resolved without human touch
First response in under a minute instead of hours
Support team refocused on retention and reviews

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