AI Architecture & Production Readiness Review
Evaluate an AI product or prototype across architecture, retrieval, agent behavior, security, cost, and production readiness.
Best fit
Ideation and Early Product Teams
Founders and small product teams moving from an idea, prototype, or validated workflow toward a usable first release. The work keeps the first release bounded, makes the core user path concrete, and creates a foundation the team can extend instead of rebuild.
The challenge
An AI demo can look successful while the data, tool use, cost, and failure modes are not ready for real users.
The approach
We pressure-test the system and turn the findings into an ordered implementation plan tied to a real release. Find the risks between an AI prototype and a reliable production workflow. The engagement stays focused on the outcome that matters next, with decisions made in the context of the team, users, and systems that will carry the work forward.
What we own
- Model, agent, and RAG review
- Security, cost, and latency risks
- Evaluation and observability gaps
- Prioritized production plan
After delivery
The team leaves with a usable product, workflow, or production improvement tied to a clear next milestone. Pilot Spring keeps the scope bounded, documents the important decisions, and makes ownership explicit so the work can be measured and extended after handoff.
