Before any of this was "AI consulting," it was 15-plus years of sales and operations leadership — most recently as General Manager of a home-services branch on the Alabama Gulf Coast, where I helped take it from a standing start to roughly $2 million in annualized revenue in about two years. That meant building and leading sales teams of three to eight reps, tightening up how the team used our field CRM, and coordinating everything from estimating and inspections to production, materials, subcontractors, and compliance — while surfacing risks and clearing blockers before they became someone else's emergency.
Before that: managing up to 15 field specialists across three branch hubs in a regional sales leadership role in the pest control industry, running multi-market field operations for a national home-improvement company, and — earlier still — running full 24/7, multi-department operations (retail, food service, fuel, service bays) as a general manager for a large travel-center operation. Different industries, same recurring problem: growth gets bottlenecked not by demand, but by how much time a team spends chasing status — who called the lead back, whether the CRM note got written, whether production knew the job was sold. The work wasn't slow because people weren't good at it. It was slow because there was no reliable way to see where things actually stood.
I've been doing this kind of workflow and CRM improvement work on the side since 2020, alongside those full-time operating roles. As of 2026, I'm focused on it full time — helping other small businesses fix the same visibility and follow-up problems I spent 15 years solving from the inside.
Specific employers, roles, and dates are on my LinkedIn profile for anyone who wants them — kept off the site itself.
I didn't back into this. Over the past year I've gone through a deliberate, formal course of study in applied AI — Google's AI-for-professionals specialization, the University of Pennsylvania's (Wharton) AI-for-business series covering strategy, governance, and applications in marketing, finance, and people management, Vanderbilt's coursework on prompt engineering and agentic AI, and Fractal Analytics' generative AI for consultants track.
That sits on top of an earlier round of formal training in business analytics, data literacy, Agile/Scrum delivery, and product management, plus hands-on work building Python/Streamlit tools for KPI analysis, applicant review, and workflow diagnostics.
"AI expertise" is a claim anyone can make. A verifiable list of what was actually studied — and 15 years of operations work it sits on top of — is not.
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