Define the test
Confirm users, inputs, outputs, system access, exceptions, review points, and what would count as a useful result.
Turn one defined workflow into a working AI system.
A 4-to-8-week pilot for a known process, a named business owner, and a small user group. HAWT builds the narrow system, tests it with real work, and leaves you with evidence for the next decision.
A pilot with a finish line.
The engagement proves or disproves one workflow before the organization commits to a broader system or rollout.
- Typical timeline
- 4 to 8 weeks
- Client team
- One business owner and a small user group
- Finish line
- A working pilot and a stop, revise, or scale decision
How the pilot runs.
The build stays narrow enough to inspect. Each phase produces evidence the next phase depends on.
Build the narrow system
Create the smallest assistant, integration, interface, document tool, dashboard, or application that can run the workflow.
Use real work
Run representative examples and known failure cases, then record corrections, missing context, review time, and user friction.
Make the next decision
Document what worked, what failed, who would own it, and whether the organization should stop, revise, or scale.
The pilot has to answer more than “does it run?”
A technically working demo can still create too much review, miss the hard cases, or fail to fit normal team behavior.
Usefulness
Does the output help the owner reach the required business result?
Failure behavior
What happens when inputs are incomplete, unusual, sensitive, or outside the expected pattern?
Review burden
How much checking and correction remains, and is that burden reasonable for the task?
Operating fit
Can the people, systems, permissions, and approval process support it during normal work?
The system takes the form the workflow needs.
HAWT does not begin with a preferred platform. The interface and technical approach follow the users, information, and decisions already defined.
Internal assistant
A focused interface grounded in approved company information, with visible sources and review requirements.
Document or knowledge tool
Search, compare, extract, organize, and prepare work from the files a team already depends on.
Integration or workflow interface
Move information between existing systems and guide work through defined steps, owners, checks, and exceptions.
Internal application
A custom operational tool, dashboard, or product interface when off-the-shelf software cannot support the process.
Implementation standard
AI accelerates the build. HAWT owns the delivery.
AI development agents shorten implementation cycles. Requirements, product decisions, architecture, integrations, testing, quality control, documentation, and launch decisions remain HAWT's responsibility.
Review delivered work- Experience
- More than 15 years delivering software and digital products
- Review cadence
- Weekly working reviews and staged releases
- Technical approach
- Selected after workflow, data, access, and operating constraints are known
- Handoff
- System documentation, user guidance, open risks, and operating ownership
Working pilot
A deployed or controlled test system for the agreed workflow.
Evaluation set
Representative examples and failure cases used to inspect behavior.
User trial
Recorded observations from the people expected to use or review the system.
Decision record
Known limits, operating requirements, ownership, and the recommendation for what happens next.
Not included
A pilot is not a company-wide rollout, an unlimited custom software engagement, or a production guarantee. Security review, compliance work, procurement, migration, and scale requirements are added only when the workflow and organization require them.
Product work behind the method.
The pilot structure comes from shipping real systems: defining behavior, directing AI development agents, integrating platforms, testing connected flows, and deciding what is ready to release.
Stable Manager Pro
Product definition, operational workflows, AI-agent orchestration, payments, testing, and release responsibility.
Read the project
PushdUp
Product direction and AI-agent orchestration across publishing, topic navigation, reader views, accounts, and conversation.
Read the projectPilot questions.
What needs to be known before a pilot starts?
The current workflow, intended users, business owner, available information, required output, and obvious constraints must be clear enough to define a test. A Workflow Decision Sprint can establish those terms when they are still unsettled.
Can the pilot connect to software we already use?
Often. HAWT confirms API access, authentication, permissions, data ownership, and usage limits before promising an integration.
Can a successful pilot become a production application?
Yes, when the evidence supports it. Production work is scoped separately around the confirmed requirements, security needs, integrations, operating owner, and expected scale.
What if the pilot shows that AI is the wrong approach?
That is a useful result. The decision record will explain why the workflow should stop, remain manual, use conventional automation, or be redesigned before another build.
Bring the workflow, owner, and required result.
HAWT will help determine whether the next useful step is a pilot, a decision sprint, training, or no build at all.