DAY 00 — Pod briefing
A thirty-minute working session to understand the backlog, systems, constraints and where time is being lost.
A Forward Deployed Pod turns AI opportunity into shipped work through a ninety-day rolling wave: map the operation, build the first solution, measure return and re-rank the backlog.
THE FIRST NINETY DAYS
DAY 00 — Pod briefing
A thirty-minute working session to understand the backlog, systems, constraints and where time is being lost.
WEEK 01 — Embed and observe
The pod joins the operating rhythm, reviews artifacts, interviews users and maps current workflows from the inside.
WEEK 02 — Rank opportunities
Candidates are sized by value, effort, risk, data access, adoption path and time to first measurable result.
DAY 30 — First deployment
The highest-return low-friction workflow is shipped into production with documentation and a baseline metric.
DAY 60 — Improve and expand
The pod uses feedback and usage data to harden the first solution while building the next highest-priority item.
DAY 90 — Measure portfolio
Leadership receives a scorecard of shipped work, adoption, return, risks and the recommended next wave.
WHAT YOU GET
Created as part of the pod operating cadence and kept in the client environment for future ownership.
Created as part of the pod operating cadence and kept in the client environment for future ownership.
Created as part of the pod operating cadence and kept in the client environment for future ownership.
Created as part of the pod operating cadence and kept in the client environment for future ownership.
Created as part of the pod operating cadence and kept in the client environment for future ownership.
Created as part of the pod operating cadence and kept in the client environment for future ownership.
Created as part of the pod operating cadence and kept in the client environment for future ownership.
Created as part of the pod operating cadence and kept in the client environment for future ownership.
EXIT STRATEGY
Every engagement is designed so the client owns the source code, documentation, prompts, infrastructure definitions and operating notes. If the pod continues, the next wave starts with better context. If the pod stops, the shipped work and knowledge remain with the team.