HAWTApplied AI for teams
Start
A HAWT instructor leading an AI workshop for a business team

Put AI to work on one real business problem.

HAWT helps organizations choose the right opportunity, train the people involved, and turn a defined workflow into a tested working system.

Start a project briefSee the engagements

A defined starting point for each kind of problem.

Every engagement has a narrow purpose, a visible finish line, and work your team can keep using after HAWT leaves.

01 / Decide

Workflow Decision Sprint

Choose the right first AI project before committing budget to tools or development.

Typical timeline
10 business days
Best for
Teams with several ideas and no clear priority
  • Current-workflow map
  • Ranked opportunity scorecard
  • Data, risk, and review requirements
  • Recommended pilot brief
Review the sprint
02 / Adopt

Team AI Enablement

Give one team a shared way to use ChatGPT and Claude on the work it already owns.

Typical timeline
2 to 4 weeks
Best for
Departments moving beyond informal use
  • Role-specific live workshop
  • Reusable instructions and examples
  • Information boundary guide
  • 30-day adoption plan
Review team enablement
03 / Prove

Workflow Pilot

Build and test one focused assistant, integration, interface, or internal application.

Typical timeline
4 to 8 weeks
Best for
Known workflow gaps existing software cannot close
  • Working pilot with real inputs
  • Evaluation and failure-case checks
  • User testing and revisions
  • Documentation, training, and handoff
Review the pilot
04 / Improve

Ongoing Improvement

After a pilot or training rollout, HAWT can review adoption, fix weak points, extend useful workflows, and prepare the next release.

See ongoing support

Understand. Decide. Prove. Operate.

The sequence matters. HAWT does not recommend a platform before understanding the workflow, and does not scale a system before real users have tested it.

What every engagement includes.

A named business owner

Someone remains responsible for the workflow and its result.

Visible constraints

Privacy, access, risk, policy, and system limits are addressed early.

Evidence before expansion

Real examples and failure cases determine what should happen next.

A usable handoff

The team receives the method, documentation, and decisions behind the work.

Built from real product and workflow work.

HAWT combines training, product judgment, and senior software experience. That lets an advisory engagement move into a working pilot without losing the business context.

Stable Manager Pro website for managing lessons, payments, reminders, and rider progress

Stable Manager Pro

Product definition, AI-assisted development, operational workflows, payments, and a production handoff for an equestrian management platform.

Read the project
PushdUp community software showing channels, posts, and a reader view

PushdUp

Product direction and AI-agent orchestration for a community platform with publishing, topic navigation, reader views, and real-time conversation.

Read the project

Advice backed by the ability to deliver.

HAWT brings more than 15 years of software experience to the work. AI development agents make implementation faster; requirements, architecture, integrations, testing, quality control, and final delivery remain our responsibility.

How HAWT works See selected work

Need to build internal alignment first?

Use the free team AI guide to discuss boundaries, ownership, and a sensible first pilot before hiring anyone.

Open the free resources

Bring us one workflow worth improving.

Share the business problem, the people affected, and what a useful result would change.

Start a project briefBook an introduction