Our work

Examples of the problems we solve.

Illustrative examples of the kind of work we do.

Save time

Added the equivalent of 2 extra team members via automations.

SITUATION

Underwriters manually analysed property details and risk on every policy.

WHAT WE DID

AI looked at property images for various underwriting risks, prioritised and alerted humans according to severity. It also handed underwriters a ready to approve summary.

RESULT

Over 180 hours saved per month.

Give your team back time to do meaningful work

Automated accounting tasks

SITUATION

Invoicing and reconciliation done by hand, every month.

WHAT WE DID

Invoices raised, matched, and reconciled automatically. No chasing, no spreadsheets; custom integration with accounting software.

RESULT

30+ hours saved every month.

The right conversation, every time

Lead scoring, to drive customer performance

SITUATION

Every customer got the same call order and the same journey, regardless of value or intent.

WHAT WE DID

Calls prioritised by value, and provided customer journeys with siuational guidance, allowing personalisation in real time, at a scale no team could manage by hand.

RESULT

Right conversation, right customer, at scale.

Enable your team

Reporting, built by anyone

SITUATION

Every report ran through one analyst, one at a time.

WHAT WE DID

Role-based access to allow teams to self-serve their data via skills for Claude, allowing them to build custom reports from Salesforce data in minutes.

RESULT

Reporting became accessible and easy for everyone, while still remaining secure with role-based access.

Hyper-personalisation

From scroll to conversion via hyper-personalisation

SITUATION

Customers stalled scrolling an e-commerce site with no clear end point.

WHAT WE DID

Built one to one personalised product recommendations based on the true customer profile and photos they provided.

RESULT

Choice paralysis replaced with conversion.

WORKING WITH US - THE SIMPLE MATH

A £10,000 project that freed up 12 hours/week at £35/hour. Before any revenue upside, this alone saved the business over £22,000/year.

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