01
Discovery
A short, structured workshop to scope the use cases and align on data access, success criteria, and stakeholders.
A focused engagement to prove an AI use case on your real data.
Quick Start is for teams who know AI matters to their work but haven't yet seen it land on real data inside their environment. We pick one or two high-value use cases, build a working prototype on your data, and hand back a recommendation on what to operationalize next — with a clear-eyed view of cost, risk, and the engineering it would take to scale.
- AI opportunity assessment and use case prioritization
- A working prototype on your own data, not a generic demo
- Recommendation report with ROI projection and implementation roadmap
- Project-duration access to Progredi's engineering core
3 phases, one clear hand-off.
02
Build
Working prototype on your real data, with weekly check-ins so the trajectory is visible the whole way through.
03
Hand-off
Recommendation report and roadmap session — what to operationalize, what to drop, and what the next engagement would look like.
Scope a Quick Start.
Tell us what you're trying to operationalize. We'll come back with a rough scope and a starting point.