Manual checking
People spending hours gathering the same signals before they can make a decision.
Start with one real job
We build small AI systems around the manual jobs your business already does: lead research, risk checks, reporting, follow-up, and content operations. Start with one workflow, use real data, and give your team output they can review, trust, and use.
One workflow first. A working system before anything bigger.
The real issue
Your data is in directories, websites, inboxes, spreadsheets, CRMs, PDFs, calendars, and people’s heads. The problem is not lack of information. It is the time it takes to turn that information into decisions and action.
If a task happens every week, needs judgement, and lives across more than one system, it is probably ready for an AI workflow.
People spending hours gathering the same signals before they can make a decision.
Spreadsheets, exports, inboxes, and dashboards that never quite meet in one place.
Useful information found too late, forgotten, or never turned into a next action.
The fix
We start with the single process costing you the most time, and build the smallest AI system that does it properly. It is reviewed by you, refined from real feedback, clearly documented, and built around how you already work.
Find, qualify, score, and prioritise prospects in your target market.
Pull data from multiple sources and highlight issues across sites, teams, or operations.
Turn spreadsheets, exports, and recurring checks into clear management summaries.
Monitor relevant topics, draft updates, and keep marketing activity moving with human approval.
The paid pilot
We do not start with a giant transformation programme. We pick one valuable workflow, build a working AI-assisted version, test it with your team, document it clearly, and decide what is worth scaling.
Get in touchIdentify one manual, valuable, repeatable workflow.
Create a practical AI-assisted system using your real process.
Review the output, capture feedback, and tune what matters.
Leave you with a working system, use-case notes, and clear next steps.
Examples
These are real workflows we've built, not concepts. Each one shows the manual process before, the AI-assisted system after, and the reviewed output a client actually used.
Explore the use-case libraryAn AI-assisted workflow to identify and prioritise commercial prospects, so the sales team spends its time on outreach instead of research.
A dashboard that pulls data from multiple systems to flag risk and exceptions across multiple sites, so problems get caught before they get expensive.
A system that monitors relevant topics and prepares draft content for review, so marketing stays active without eating a week of writing time.
A workflow that turns discovery notes into a tailored recap, recommended pilot, and next-step email, so good opportunities don't go cold waiting on a follow-up.
A repeatable process for extracting actions, risks, and summaries from PDFs, spreadsheets, and operational docs, so nothing important gets buried in the paperwork.
A workflow that turns each finished project into a short, consistent write-up of what was done and what worked, so the next job doesn't start from zero.
Who it is for
Now booking practical AI pilots
This isn't a sales pitch. Bring the one process that's manual, repetitive, or falling through the cracks, and I'll tell you honestly whether it's a good fit for a 30-day pilot.