Most companies now have AI tools. Very few have AI adoption. We find the use cases worth doing, build the working solution, and stay until it is a habit — advice you can act on, from someone who has run the P&L and written the Python.
FIXED PRICE · WORKING PROOF-OF-CONCEPT IN 10 WORKING DAYS
THE GAP
Buying the tool is easy. Getting the hours back is the job
Almost every business we meet has already paid for AI somewhere. The value is stuck in the same three places every time.
01
Bought, not used
Licences are live. Logins are not. Nobody agreed what the tool was actually for.
02
Built, not adopted
Something shipped. It works. The team went back to the spreadsheet in week three.
03
Piloted, then parked
A proof-of-concept impressed everyone, then met a real workflow and quietly died.
WHAT WE DO — FIND → BUILD → ADOPT
Three deliberate steps from "we should use AI" to "our team uses this every day."
Drag around with cursor or 2 fingers on mobile
FIND
The work worth doing
We sit with your teams and map where the hours actually go, then tell you honestly which tasks AI should take on — and which it shouldn't. You get a shortlist ranked by value, effort and risk. Not a wish list.
BUILD
The working solution
Agents, retrieval assistants that answer from your own documents, prompt-engineered and low-code workflows — slotted into the tools you already use. Working software, not slideware.
ADOPT
The part most projects skip
Workshops, prompt coaching, hands-on support and a named owner inside your team. We measure success by adoption, not deployment.
PROOF YOU CAN CLICK
Ten agents you can use right now, without giving us your email.
Every demo runs live on sample data, in the browser. Nothing leaves the page.
Most partners build what you ask for. We tell you what you actually need — because we have sat in your chair.
Executive business experience and hands-on technical depth, in one person. We have run P&Ls, led delivery teams and negotiated enterprise contracts — and personally written the Python behind the dashboards, built the agents, trained the models and shipped the AR apps.
With AI, the expensive mistakes come from people who understand the technology but not the business, or the business but not the technology. When you brief us you are not explaining your operation to someone who will translate it into tech and hope. You are talking to someone who already speaks both languages — and will tell you plainly what will work, what will not, and what is not worth doing at all.
15+
YEARS BUSINESS LEADERSHIP
7+
YEARS HANDS-ON ENGINEERING
20+
ENTERPRISE ACCOUNTS OWNED
5 mo
to turn a p&l ebitda positive
OUTCOMES, NOT FEATURES
A few of the results behind the logos.
EDUCATION · 6 WORKSTREAMS
MTM College — six workstreams, one program
Fragmented systems and no out-of-hours student support. We delivered an AI tutor, an AI career-guidance tool, a SharePoint distance-learning platform, a website rebuild, an AI chatbot and an AR graduation experience, coordinated to near-simultaneous go-lives.
AR cards for a hospital chaplain — animated 3D augmented experiences, each one matched to the patient's faith tradition. Technology that knows when to encourage and when to be quiet. No app download. Nothing between the patient and the moment.
Two Python and Plotly applications measuring cancer therapy access and reimbursement waiting times across the Bulgarian medical market — analytics methodology, both applications and the site, built from scratch.
