02 · Workflow delivery

AI Engineering & Delivery Sprint

Move one real workflow from AI opportunity to measured proof without mistaking a convincing demo for production readiness.

Start the confidential brief

Strong fit

A bounded decision with an accountable owner.

One repetitive, costly, or slow workflow has an accountable owner.
Representative cases and approved data can be used for evaluation.
The buyer wants a working proof and a decision, not a strategy deck.

Scope

What is examined

Current workflow, baseline effort, risk, and decision criteria.
The narrowest useful AI pattern, data boundary, and human checkpoint.
A working proof in the real delivery context.
Quality, latency, cost, guardrail, and failure-mode evaluation.

Evidence

What makes the decision useful

Representative workflow cases and a decision owner.
Approved model or provider access where possible.
The system boundary and people needed to validate the proof.
Known privacy, data residency, latency, and cost constraints.

Deliverables

A decision pack that can be acted on.

Current-state workflow and opportunity brief.
Working proof of value and implementation notes.
Evaluation set, success criteria, and measured results.
Guardrail, privacy, cost, ownership, and failure-mode register.
Rollout, revise, or stop recommendation with a 60-minute handover.

Not included

Clear limits before work begins.

An unlimited product build or a promise that AI is the right answer.
Model training from scratch or unapproved use of sensitive data.
Legal, regulatory, or compliance certification.
Production hardening, large integrations, or ongoing operation unless separately scoped.

Start with the decision

Describe the target before sharing access or evidence.

Start the confidential brief No commitment to buy. No credentials in the form.