AI Delivery Pilot

Move one important AI workflow into production.

The AI Delivery Pilot is a six- to eight-week engagement that moves one important workflow into production, supported by release evidence and an operating handoff the organization can use.

Email ChristopherWays to Work

Who it is for

When a focused delivery pilot is useful

Useful when

A prototype works in controlled conditions, but production review, realistic evaluation, ownership, or human intervention design is missing.

  • A workflow has been selected but cannot clear production review.
  • The prototype works only under controlled conditions.
  • Realistic evaluation cases do not exist.
  • Human intervention is expected but has not been designed.

Expected outcome

One released workflow with evidence-supported release decisions and a handoff model the organization can operate.

Typical duration: Six to eight weeks

Focused implementation with defined scope, release criteria, and operating handoff.

What changes

What moves into production

Before

A prototype works in controlled conditions, but production review, realistic evaluation, ownership, or human intervention design is missing.

After

One released workflow with evidence-supported release decisions and a handoff model the organization can operate.

Christopher leads the engagement directly

AI Delivery Pilot work is led by Christopher, with his judgment present in the decisions, deliverables, and readout.

Outputs

What Bato Labs takes responsibility for

Production-ready workflow design

Defines user, workflow, success criteria, boundaries, failure conditions, evaluation approach, risk and review requirements, and named owners.

One released workflow

Implements the agreed workflow, evaluates realistic cases, applies routing and approval behavior, and supports a controlled rollout where appropriate.

Operating handoff

Names the operational owner, monitoring approach, escalation path, rollback plan, runbook, improvement backlog, and post-release review.

Process

The six- to eight-week process

  1. Confirm workflow and release criteria.
  2. Design evaluation, risk routing, and approval behavior.
  3. Implement inside the agreed environment.
  4. Test success and failure cases.
  5. Release with evidence and controlled rollout where appropriate.
  6. Handoff ownership, monitoring, and improvement backlog.

Scope

What the Pilot includes—and excludes

When a Delivery Pilot is the right next step

A Delivery Pilot works best when one important workflow can be bounded, the relevant decision-makers can participate, and the underlying platform is stable enough to support a focused release.

When another starting point may be better

Some situations need architecture, ownership, or operating-model work before implementation begins. In those cases, Bato Labs may start with an AI Release Audit or an embedded leadership mandate rather than forcing the work into a six- to eight-week Pilot.

  • The underlying platform or architecture needs to be stabilized before a workflow can be released.
  • The organization is still deciding which workflow should be prioritized.
  • Ownership, decision rights, or cross-functional responsibilities have not yet been established.
  • The mandate extends beyond one workflow and requires ongoing product, data, AI, or technology leadership.

What the Pilot is not designed to cover

The Pilot is not designed to complete an enterprise-wide platform rearchitecture, lead an open-ended transformation program, or provide indefinite production ownership within its six- to eight-week scope. Those needs can be addressed through a separate architecture phase or embedded operating mandate.

Relevant experience and evidence

Relevant product and operating evidence

The following product work and release artifacts show how Bato Labs moves a defined workflow toward controlled release and operating ownership.

Next

After the Pilot

Email Christopher

Email Christopher

Tell Christopher what you are trying to decide, own, build, evaluate, or unblock.

Email Christopher