AI Pilot: one use case to a working system in 4-6 weeks
Most AI pilots stall because nobody agreed what success looks like. Ours start with a KPI baseline, run on your real data, and end with a clear Go / Adjust / Stop decision, so you never pay for a demo that cannot reach production.
- Duration
- 4-6 weeks
- You get
- A working pilot on your data with a KPI baseline and a go/stop decision
Who it's for and who it isn't
Good fit
- Teams with a scoped use case (or a completed Discovery Workshop)
- Startups that need a working AI feature for customers or investors
- SMBs automating calls, documents, support or internal workflows
Not a fit
- Open-ended research with no business owner or KPI
- Use cases where the data cannot be accessed during the pilot
- Teams that need a full product build (see Software Development)
Deliverables
- KPI baseline agreed before build starts
- Working pilot connected to your real data and tools
- Evaluation results: quality, speed, cost per run and edge cases
- Monitoring and cost dashboard for the pilot
- Security and data-handling notes
- Production plan and cost estimate if the pilot passes
Exactly what happens, and when
- Days 1-3Scope lock: KPI baseline, success criteria, data access and integration list.
- Weeks 1-4Build in weekly demos. You see working software every week, not slides.
- Week 5Launch to a limited group of real users; measure against the baseline.
- Week 6Evaluation report, handoff and the Go / Adjust / Stop decision.
Who you'll work with
Lead AI Engineer
Owns architecture, model choice and evaluation.
1-2 AI / Full-stack Engineers
Build integrations, UI and data pipelines.
Product Designer (on demand)
For user-facing assistants and dashboards.
Go / Adjust / Stop
How we decide what happens at the end.
Go
The pilot meets the agreed quality, speed and cost-per-run targets. Next step: production or an AI Pod.
Adjust
Close, but not there yet. We list what must change and what it costs.
Stop
The use case does not pay back. You stop with the evidence in hand.
Passing pilots move to a production build or continue as an AI Pod.
Projects that started this way
AI call screening on web + mobile
An AI phone assistant that screens calls and messages across web and mobile
50% faster time-to-hire
AI recruiting that sources, matches and ranks candidates against each job's real requirements
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
Everything in the agreed scope: build, integrations, evaluation and handoff. Model usage (API tokens) and hosting are paid directly by you.
You do. All custom code and prompts written for the pilot are yours.
No. We use provider settings and contracts that keep your data out of model training, and can run open-source models in your own cloud if needed.
That is what the decision gate is for. You get the evaluation report and code, and you avoid funding a production build that would not pay back.
Start a pilot
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one