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AI STRATEGY CONSULTING

Everyone's telling you what AI can do. Almost nobody's telling you what your business should actually do with it.

I spent 20+ years leading engineering teams and watching the difference between technology that looks impressive and technology that earns its place. I bring that same filter to your business — what’s worth pursuing, what can wait, and what you probably shouldn’t build at all.

Start with a conversation about where AI could make real sense in your business.

The hard part isn’t finding AI tools.
It’s knowing where they belong.

Is there a real AI opportunity here, or are we forcing one?

Will this save time, create revenue, improve the customer experience — or just add another tool?

Which part of the business should I tackle first?

What should I not spend money on yet?

That’s what the strategy work is designed to answer.

What AI Strategy Consulting looks like in practice

What's worth tackling first

The opportunities most likely to make a meaningful difference — based on the problem they solve, the effort involved, and the value of improving them.

What can wait

Ideas that may be useful, but don’t need to be the first priority. Putting them in order keeps the business focused instead of trying to tackle every possibility at once.

What you shouldn't spend money on yet

Ideas that may sound promising but don’t have a strong enough reason to pursue right now. Sometimes the most valuable recommendation is to leave something alone until the case for it is clearer.

This is strategy built around your business, not around a list of AI tools.

How we get there

01
We start with the free AI Opportunity Audit.

A 30-minute conversation about how your business works, where the friction is, and what you’re hoping AI might help solve.

02

If there’s a real opportunity, we go deeper.

We map the workflows that matter — where time gets lost, leads stall, customers wait, or repetitive work keeps piling up — and identify where AI could realistically help.

03

We put the opportunities in order.

You come away with clear priorities: what’s worth tackling first, what can wait, and what isn’t worth investing in yet.

04

We define what success should look like.

Before anything gets implemented, we define what it should improve so the work stays tied to the original problem.

Not sure where your business fits yet? That’s exactly what the free AI Opportunity Audit is for.

WHY PPF SUCCESS

Twenty years of building technology changes how you look at AI.

I spent more than two decades leading software engineering teams, including serving as Senior Director of Engineering at Certona before its acquisition by Kibo Commerce. That meant living with what happened after the pitch — when the technology had to work, people had to use it, and the investment had to justify itself.

I’ve seen the difference between a project that becomes genuinely useful and one that gets built, demonstrated once, and quietly forgotten. The difference usually isn’t how impressive the technology is. It’s whether someone did the work up front to understand the problem, the people using it, and what success was supposed to look like.

That experience is the filter I bring to AI strategy today: not “Where can we use AI?” but “Where would AI genuinely make this business better?”

Frequently Asked Questions

Does this actually work for a small home-service business, or is this built for bigger companies? PPF Success is built to help small, service-based businesses — HVAC, plumbing, electrical, roofing, landscaping, pest control, and similar trades included. The approach is the same regardless of size: understand how the business runs, where the friction is, and what’s worth improving before recommending anything.

You don’t need an AI plan before we talk.

You just need a part of the business you’d like to make better.

The free AI Opportunity Audit is a 30-minute conversation to look at where AI may be useful, where it probably isn’t, and whether there’s a worthwhile next step.

No prep required. Just bring the business questions you’re trying to solve.

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