Phase 1
Discovery Call
"Qualification before any scope."
- We confirm goals, data readiness, and constraints.
- We define success criteria and risks.
- We align on what the Feasibility Sprint must prove.
- You decide if we proceed to the paid milestone.
The Feasibility Sprint Engine
We treat your business operations like software: logical, repeatable, and testable. Here is how we validate feasibility first, then build with confidence.
Phase 2
Feasibility Sprint
"Proof before full commitment."
- We analyze your real data and workflow reality.
- We build a working prototype.
- We validate results on your real data.
- You receive a feasibility report and scoped roadmap.
Phase 3
Full Build
"Execution with a proven blueprint."
- We implement the full system architecture.
- We integrate your software stack and data flows.
- We perform QA, training, and launch prep.
- Live rollout with verified outcomes.
Validated, Then Built
You walk away with proof, a roadmap, and a system built from verified results.
What protects the project from becoming another abandoned tool
A measurable definition of done
Before building, we agree on the operational result the prototype must demonstrate. That might be a lead receiving a useful reply within 60 seconds, a CRM record reaching the correct owner, or a weekly report reconciling without manual cleanup. The project is evaluated against that result, not against a list of software features.
Real data before full investment
A Feasibility Sprint tests the hardest connection, data condition, or handoff with representative data. That exposes missing fields, permission limits, edge cases, and unreliable assumptions early. You receive the prototype findings and a scoped roadmap before deciding whether a larger implementation is justified.
Human ownership for exceptions
Reliable automation needs a clear path for records it cannot safely handle. We define alerts, retry rules, manual review points, and the person responsible for exceptions. The goal is not to hide failures. It is to make them visible, recoverable, and easier to resolve than the manual process they replace.
A handoff your team can operate
Full builds include testing, operating notes, training, and launch support. Your team should know what the system does, where its source data lives, how to review activity, and what to do when a dependency changes. This keeps the workflow useful after launch instead of turning it into an opaque black box.