Retrieval over your own data
A chat or search interface that answers from your docs, policies, product catalogue or codebase. Cited sources, no hallucinated links.
The studio agent is right here. Scroll through a sample conversation, then pick up where it leaves off. Your turn is at the bottom.
What do you actually do with AI? Not the marketing version. Real work you have shipped.
Fair. Three categories most of our AI work falls into:
The unifying rule: we ship AI only where it shortens a real workflow by hours per week.
Got a recent example?
Yes, a trades client we work with used to spend an hour per quote: a site visit, then back to the office to write it up.
We built a mobile app that takes a site photo plus a couple of inputs, then drafts a priced quote in about 90 seconds. A human still reviews before it goes out, but the bottleneck went away.
How do you decide where AI is actually worth it?
Two filters before we’ll quote it:
We push back on “add a chatbot because everyone has one” and we tell you when a plain form would do the same job for less.
A chat or search interface that answers from your docs, policies, product catalogue or codebase. Cited sources, no hallucinated links.
PDFs, scans, photos, invoices, extracted into structured records that flow into your existing systems with human-in-the-loop review.
From a site visit photo and a few notes to a priced quote in 90 seconds. Reviewed by a human before it goes out.
AI reads incoming email or ticket, classifies, drafts a reply, routes to the right person, and learns from corrections.
Multi-step agents that book, refund, update CRM records, schedule jobs. Guarded by approvals and an audit trail.
A dashboard that explains itself in plain English every Monday morning, instead of needing a meeting to interpret.
That’s our favourite call. Bring the problem, we’ll bring the questions that get us to the right answer.