AI-Accelerated Product Engineering
A fixed-scope path from idea to shipped product — the same process that shipped a multi-tenant QMS SaaS build.
The problem
Software projects tend to blow up in the same place: open-ended scope, a quote that keeps moving mid-build, and no visibility until the end.
The outcome
A working product milestone-delivered on a fixed scope, backed by a warranty period and an ongoing AMC — the same process that shipped a multi-tenant QMS SaaS build.
- Shipped a multi-tenant QMS SaaS demo, milestone by milestone, on a fixed scope agreed up front.
- Over a decade of enterprise software delivery behind the process.
What's included.
- Paid discovery sprint to de-risk scope.
- Fixed-scope quote before engineering starts.
- Milestone delivery with visibility at each stage.
- Warranty period after delivery, then an annual maintenance contract (AMC).
How this actually runs.
Discovery sprint
Paid, 5 days. De-risks scope before you commit to a quote.
Frozen scope & fixed quote
Scope and price are frozen once the sprint ends — no moving target mid-build.
Milestone delivery
Delivered in stages (30/25/25/20) so progress is visible before the end.
30-day warranty
A warranty window after delivery to catch anything that needs fixing.
AMC
An annual maintenance contract keeps it running after that.
Built on.
- Modern web & API stacks
- CI/CD
See the products this work is grounded in.
All products
CrestBid AI, Orchestrator Studio, and Vexilo — three local AI products built by the same team.
Questions worth asking.
Yes — it’s a paid, fixed-length sprint. It exists to de-risk scope before you commit to a quote, not as a sales call.
The quote is frozen at the end of the discovery sprint precisely so both sides know what is being built. Scope changes are handled as a separately quoted change, not folded into the original number silently.
The warranty period after delivery covers defects against what was scoped and delivered. The AMC that follows covers ongoing maintenance and support beyond that window.
Ready to talk about ai-accelerated product engineering?
A fixed-scope path from idea to shipped product — the same process that shipped a multi-tenant QMS SaaS build.