Existing Business

Find the AI Use Case That Can Survive Production.

Pick one real workflow, test whether AI belongs in it, and define the data, review, and rollback path before more prototype time is spent.

Who It Is For

Teams with an owned workflow, available source data, and a business outcome that needs better support.

First Step

Bring the workflow, source data, and desired outcome. I will identify the smallest credible rollout path.

Start a Conversation

Where the work starts

Clarify

The prototype is interesting, but nobody owns the workflow, data source, evaluation, or failure path.

The team needs to decide whether the problem needs retrieval, automation, human review, a simpler search experience, or no AI at all.

Security, latency, cost, review, and observability questions are still outside the plan.

Example engagements

Work Together

Map one workflow from input to operator decision, customer impact, and system-of-record update.

Define the data boundary, retrieval path, evaluation checks, human-review step, and rollback behavior.

Review an existing prototype and turn it into a small production-readiness plan with clear stop/go criteria.

Likely deliverables

Leave Behind

Workflow MapData and Review BoundaryRisk RegisterFirst Rollout Plan