Validate the workflow
Build a coherent application journey with clear data ownership, permissions and failure states. Agree on what a user must be able to finish.
Startups & small teams
A focused first release.
Room for a better next one.
Turn a specific user problem into a scoped product or AI pilot, with evidence guiding what comes next.
An ambitious product idea can hide several different risks: whether users need it, whether the data is suitable, and whether the team can operate it after launch.
Choose one user, one workflow and one testable outcome. Keep the first release narrow enough to learn from and practical enough to maintain.
POSSIBLE SCOPES / AGREED DURING DISCOVERY
What the work
could include.
Test an AI hypothesis
Use an approved sample set and a conventional baseline. Review unsupported answers, mistakes, latency and cost before choosing a model approach.
Prepare the handover
Document setup, configuration, tests, recurring services and recovery steps so the project can move beyond a demo.
BEFORE THE BUILD
What we need.
- Access to the person who owns product decisions and user feedback.
- Rights to use the data, a suitable evaluation sample and clear review responsibilities.
- A realistic budget for building, hosting, model usage and ongoing changes.
EVIDENCE & CONTEXT
Keep the proof clear.
RegImpact AI and TriageAI demonstrate the founder’s engineering approach to evidence, review and delivery. They are independent projects, separate from client work.
Explore the engineering work ↗LET’S MAKE IT PRACTICAL
A useful next step.
Bring the problem. Let’s work out the right scope and approach.