How we put AI into production in ten weeks
Five steps, each ending in evidence. The method behind every Entelech deployment.
A narrow first AI system can typically be live in eight to twelve weeks. Not a demo, not a pilot: a system running on real data, with named owners, monitoring and a runbook.
That only works with a method where every step ends in something you can check. Here is ours.
1. Find · weeks 1–2
We map the processes, the data and the people who own them. Then we rank the use cases by two things: how much value they unlock and how ready they are. Some ideas are valuable but blocked by data; some are easy but not worth it. We look for the ones that are both.
Evidence: an opportunity map and a business case.
2. Design · weeks 2–3
We draw the system before we build it: the architecture, the data flows, the guardrails, and the points where a human checks the work. We also decide how we will know it works, by writing the eval plan up front.
Evidence: a system drawing and an eval plan.
3. Build · weeks 3–8
We build inside your repository, with your team, on your data. Every week there is a demo on real cases, not on a curated sample. Engineers and agents work side by side; your people see how it is made, so they can run it later.
Evidence: a working system in staging.
4. Measure · continuous
Measurement is not a phase at the end. From the first week we run evals, shadow runs and cost tracking against the baseline: how the work is done today, how long it takes, how often it goes wrong, what it costs.
Evidence: a weekly eval ledger.
5. Deploy · weeks 8–10
The system goes live with named owners, monitoring and a runbook. Then we hand it over. You own the code, the prompts, the evals, the pipelines and the documentation.
Evidence: a production system and its runbook.
The rule behind it
Every phase ends with a go or no-go against the baseline. If the numbers don't hold, it doesn't ship. That sounds strict, but it is what makes the rest of the plan believable.
Want to see what this would look like for one of your workflows? Start with a two-week scoping sprint: a fixed fee, and at the end you know whether it is worth building.
