PilotDesigning and launching AI projects
From a rough idea to a live AI tool that people actually use. Chat assistants, AI agents, scoring models and internal tools, scoped honestly and shipped in weeks.
Why it needed building.
A lot of AI projects stall between the demo and daily use. The prototype is impressive, then nobody trusts it, it doesn’t connect to anything, and it quietly gets abandoned.
We design AI projects backwards from the job someone needs done on a Tuesday afternoon. Then we build the smallest version that does that job reliably, connect it to real tools, and launch it with the team.
Piece by piece.
One workshop to find the task worth automating, and what “good” looks like.
The flow, the data it needs, where a human stays in the loop.
A working version in days, tested on real examples, not hypothetical ones.
Connected to the CRM, inbox, calendar or database the team already uses.
Rolled out with the team, with a short guide and a feedback channel.
We watch how it’s used and improve the prompts, rules and edge cases.
Press run to see it work.
A simplified version of the real workflow, with sample data.
Workflow
Run logSample data
Idea to live tool in about four weeks.
Every project is different, but this is the rhythm most follow.
Discovery & design
One workshop, one clear job to automate, success defined.
Prototype
Working version tested on 20–50 real examples.
Integrate
Connected to your tools, human review step added.
Launch
Team rollout, guide, feedback loop, first improvements.
The difference it makes.
We only publish numbers clients have verified. These are the changes in how the work gets done.
Projects go live with real users, not just a demo video.
Clear rules, human review where it matters, and logs of what the AI did.
Documented and easy to adjust as the business changes.