Bounded scope
The timeline, users, deliverables, exclusions, and finish line are visible before work begins.
We use defined engagements for one decision, one team, or one workflow. The organization gets a visible finish line, evidence for the next decision, and material it can keep using.


HAWT was founded by Wil Waldon, a certified Claude trainer with more than 15 years of experience delivering websites, applications, platforms, and business systems. Specialist support is added when an engagement needs it; scope, decisions, testing, and delivery remain senior-led.
That background matters because useful AI work depends on requirements, information architecture, integrations, failure handling, and operating judgment. The model is one component of the system.
Review selected workEvery engagement is organized around a business owner, an unresolved decision, real work, and a defined handoff.
The timeline, users, deliverables, exclusions, and finish line are visible before work begins.
AI agents accelerate research, prototyping, development, testing, and documentation.
Recommendations and systems are checked against representative work and failure cases.
The client receives the method, documentation, ownership, risks, and next decision.
Start with the decision the organization needs to make, not a shopping list of AI capabilities.
Choose the first workflow and define the pilot before committing to tools or development.
Review the sprintGive one department a shared method, working kit, information boundaries, and adoption plan.
Review the programBuild and test one narrow AI system with real users and representative work.
Review the pilotReview adoption, correct weak points, and ship agreed updates after a program or pilot.
Review ongoing supportLocal sessions are available when useful. Training, workflow review, and implementation can be delivered remotely.
Use the project brief to explain the workflow, affected team, current systems, constraints, and required result.