01Low-risk first build
AI Prototype Sprint
One real workflow turned into a private AI prototype on your infrastructure, with a documented path to production.
- Typical span
- ~3 weeks
- Commercial shape
- Fixed scope
Contact
Start with the workflow, the boundary, and the risk.
Engence is email-first for now. Send the problem, what needs to stay inside your environment, and what a useful first production version needs to prove.
Engagement shapes
If the fit is already clear, name the starting path.
Most inbound work fits one of these shapes. Broad is fine; the goal is to reduce ambiguity before the first call.
02Harden and deploy
Production Build
Take the prototype to production with evaluation, permissions, monitoring, and deployment controls on the client's environment.
- Typical span
- 4-8 weeks
- Commercial shape
- Project scope
03Operate and expand
Embedded AI
Ongoing build and operational support once the first private AI workflow is live and needs to grow safely.
- Typical span
- Monthly
- Commercial shape
- Retainer
04Optional door-opener
AI Audit
A short diagnostic to identify where private AI moves a metric, what has to stay private, and what the safest first build should be.
- Typical span
- ~1 week
- Commercial shape
- Paid diagnostic
What to include
A better first email makes the first conversation sharper.
What workflow or decision are you trying to improve?
What systems, data, cameras, or infrastructure does the AI need to connect with?
What needs to stay inside your environment, and what would make the first production version successful?
Execution domains
Mention the delivery domain if one is already clear.
The wedge stays the same. These are the execution domains Engence uses once the workflow and deployment environment are understood.