We build AI systems that solve practical business problems — the kind that slow teams down, create admin bottlenecks or stop good leads being handled properly. Here’s what that looks like in practice.
Case Study 01 · Property Renovation & Development
A WhatsApp-based AI workflow that let a renovation team log scope changes as they happened — keeping pricing, scheduling and shared records aligned.
When the team returned from site they still needed to update the job spec with anything that had changed — extra work, scope changes, timeline shifts, pricing implications. In reality people were busy, tired or simply forgot, so the record fell out of date, pricing drifted and details lived in someone’s memory instead of the workflow.
We built an AI chatbot workflow through WhatsApp so team members could record site updates in real time, as part of the normal flow of work — no logging in, no desktop, no waiting until they got back to the office.
As soon as a change happened, the team sent it via WhatsApp — instantly, from wherever they were.
The chatbot turned raw, conversational updates into usable project data — categorised, timestamped and ready to record.
The central spreadsheet reflected the latest job information without waiting for anyone to return and remember. One source of truth, always current.
Updates flowed into total project pricing, team schedule and deadlines wherever relevant.
Case Study 02 · Financial Services
An AI onboarding assistant that guided clients through the steps automatically — cutting repetitive admin and freeing staff for higher-value work.
Onboarding ate up hours of manual admin — repetitive back-and-forth that had to happen before any real work could begin, pulling staff away from higher-value tasks.
We built an AI chatbot that guided new clients through onboarding conversationally, collecting what was needed, answering common questions and handing structured, complete information to the team.
Clients were walked through each onboarding step in a natural conversation.
Repetitive data collection and follow-ups were handled automatically.
Staff received complete, structured client information — ready to act on.
Tell us where the process is breaking. We’ll show you what a working system looks like.