AI implementation for owner-led service businesses
Find thebottleneck AI canactually fix.
Most companies buy AI tools backwards. I help $1M–$10M service businesses map the workflow leaking time or money, clean it up, then automate the part that pays.
5-question assessment · no tool pitch · workflow first.
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 whole deployment: bottlenecks, build, cost, failure points, review gates, and results.
Selected proof points from real operator/client work. Some client details are anonymized, but the pattern is the same: map the workflow, define the review gate, measure the before/after.
- Accuracy lift: prompt, data, and review workflow improvement inside a large-enterprise AI pilot.
- Hours recovered: recurring prompt-and-data workflow replacing manual weekly operator work.
- Release cadence: AI-assisted engineering workflow with smaller review loops 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 concrete AI Fit Audit you can print, share with your team, and use to decide whether to book a review.
Work with me
AI Workflow X-Ray
I map the workflow, 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.