Workflow map
The current people, inputs, systems, decisions, exceptions, and handoffs in one readable view.
HAWT uses four defined scopes. Start by deciding what deserves attention, establishing a working method, proving one workflow, or improving something already in use.
Use this when leadership sees several possible AI projects but lacks the evidence to choose one. HAWT reviews a defined area of work and produces a practical decision package.
Ask about the sprintThe current people, inputs, systems, decisions, exceptions, and handoffs in one readable view.
Candidate uses ranked by value, repeatability, data readiness, risk, effort, and review burden.
Information boundaries, access needs, human review points, and known failure conditions.
A defined first test with users, scope, inputs, outputs, measurements, and a go or no-go decision.
The sprint is intentionally narrow. It does not include software procurement, production development, or a company-wide rollout plan.
Use this when employees are already experimenting but the team lacks shared methods, boundaries, examples, and ownership.
Review the training programExamples, documents, decisions, and sensitive-data boundaries selected before the live session.
Hands-on use of ChatGPT, Claude, or both against representative company work.
Reusable instructions, examples, review checks, and information boundaries for the chosen roles.
Named owners, practice tasks, office hours, and a short list of signals to review after rollout.
Use this when the workflow and users are known, but the organization needs evidence that a custom assistant, integration, or application will work with real inputs.
Review the pilotA narrow assistant, document tool, integration, workflow interface, dashboard, or internal application.
Representative examples and failure cases used to test usefulness, accuracy, and review burden.
Real users complete defined tasks and record corrections, exceptions, time, and adoption friction.
Documentation, training, open risks, operating ownership, and a recommendation to stop, revise, or scale.
Available after a HAWT training program or pilot. This keeps useful systems current without creating an open-ended consulting arrangement.
Discuss ongoing supportWhat people use, avoid, correct, or work around after launch.
Output issues, failures, data changes, and new constraints that affect the system.
Prioritized updates to instructions, integrations, interfaces, evaluations, or training material.
A short decision record showing what changed and what deserves attention next.
A useful pilot needs someone who owns the current result and can make operating decisions.
We do not design around assumptions when the people doing the work cannot participate.
If the only acceptable answer is a predetermined platform, implementation may belong with that vendor.
We will not recommend a company-wide rollout before one representative workflow has been tested.
Describe the unresolved decision. HAWT will recommend the smallest useful starting point.