How Pods Work

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

Enough structure to move fast. Enough proximity to build the right thing.

DAY 00Pod briefing

A thirty-minute working session to understand the backlog, systems, constraints and where time is being lost.

WEEK 01Embed and observe

The pod joins the operating rhythm, reviews artifacts, interviews users and maps current workflows from the inside.

WEEK 02Rank opportunities

Candidates are sized by value, effort, risk, data access, adoption path and time to first measurable result.

DAY 30First deployment

The highest-return low-friction workflow is shipped into production with documentation and a baseline metric.

DAY 60Improve and expand

The pod uses feedback and usage data to harden the first solution while building the next highest-priority item.

DAY 90Measure portfolio

Leadership receives a scorecard of shipped work, adoption, return, risks and the recommended next wave.

WHAT YOU GET

Concrete artifacts, not consulting residue.

Opportunity map with value and effort scoring

Created as part of the pod operating cadence and kept in the client environment for future ownership.

Current-state workflow notes

Created as part of the pod operating cadence and kept in the client environment for future ownership.

Production AI workflow or internal tool

Created as part of the pod operating cadence and kept in the client environment for future ownership.

Security and data-access notes

Created as part of the pod operating cadence and kept in the client environment for future ownership.

User-facing documentation

Created as part of the pod operating cadence and kept in the client environment for future ownership.

ROI baseline and measurement scorecard

Created as part of the pod operating cadence and kept in the client environment for future ownership.

Knowledge transfer artifacts

Created as part of the pod operating cadence and kept in the client environment for future ownership.

Next-wave roadmap

Created as part of the pod operating cadence and kept in the client environment for future ownership.

EXIT STRATEGY

The work stays useful if the pod leaves.

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.

Book an AI Backlog Assessment

Book an AI Backlog Assessment