Engineering Transformation · Paid engagement
AI Product Pilot
A production-oriented pilot that takes one high-value AI product use case through architecture, engineering, evaluation, guardrails and cost visibility.
Scope, outcomes, timeline and fees are agreed before professional work begins.
ENGINEERINGAI Product PilotPaid · scoped · outcome-led
Designed to produce
A clear outcome, not an open-ended activity list.
✓Working AI product capability
✓Reference architecture and integration pattern
✓Evaluation, telemetry and guardrails
✓Cost visibility and scale-out backlog
Commercial clarity
Free conversation first. Paid work only after fit is established.
The initial conversation helps establish stage, constraint and fit. If this engagement is appropriate, CodePravaha proposes a defined scope with explicit deliverables and responsibilities.
Typical working pattern
Structured around the decision or transformation outcome.
01Select
Choose one use case with measurable product value.
02Engineer
Build the data, model, tool and application path.
03Evaluate
Measure quality, risk, latency and cost.
04Operationalize
Define controls and backlog for production scale.
Next step
Bring the current constraint and business stage.
The contact flow captures both, so the conversation can begin with context.