AI implementation for owner-led service businesses
Find thebottleneck AI canactually fix.
If proposals, follow-ups, reporting, or admin eat 5–10 hours a week, do not buy another AI tool yet. First find the workflow leaking time or money, clean it up, then automate the part that pays.
5-question assessment · 2 minutes · no tool pitch.
01
AI will not save a messy process. It only makes the mess faster.
02
You do not need 30 tools. You need three workflows the team can trust.
03
The win is not “more AI.” The win is better margins and fewer owner-hours.
Receipts, not vibes
I show the messy middle: the bottleneck, the build, the cost, the failure points, the review gate, and the result.
Selected proof points from real operator and client work. The useful pattern is the same each time: map one workflow, define the review gate, measure before and after.
- Accuracy lift: improved prompt, data, and review workflow inside a Fortune 500 AI pilot.
- Hours recovered: replaced recurring manual prompt-and-data work with a repeatable workflow.
- Release cadence: shortened engineering review loops with AI-assisted tooling and reusable operating patterns.
AI Fit Audit · 5 questions · about 2 minutes
Should you automate this, or fix it by hand first?
Answer five questions and get a quick read on whether this workflow is worth pressure-testing with AI, or whether you should fix the process by hand first.
Work with me
AI Workflow X-Ray
I map one workflow from trigger to done, separate people/process/tool problems, and leave you with the smallest AI deployment worth testing.
Scope
Identify the workflow capping growth, margin, quality, or owner attention.
Architect
Design the smallest AI workflow worth testing before tools enter the picture.
Deploy
Ship one targeted AI workflow with review gates, measurement, and rollback.