The AI Leverage Playbook
Stop buying AI tools. Start finding AI leverage. Use this playbook to find out where AI is worth real money in your business.
There are two kinds of founders right now
Both are using AI. Only one is pulling ahead.
The first asks: Where can AI help with the work we already do?
The second asks: What work does AI make completely unnecessary?
Same tools. Two different questions. Leading to two very different businesses twelve months from now.
The first question gets you faster output. Better emails. Quicker drafts. Maybe a chatbot on your website. All useful. But incremental. You are paying for a faster version of the same machine.
The second question forces you to look at the machine itself. To ask whether the machine should even exist in its current form. Founders who start there don't just save time. They redesign how their business operates.
The gap between these two camps is widening every quarter. And most founders are in the first camp without knowing it.
This playbook is for founders who want to cross over. Whether you have been using AI for a year or you have barely started, the five-step audit here will help you identify exactly where AI creates real value in your business, and where you are wasting time chasing shiny tools.
Every day there is a new AI tool, a new workflow, a new influencer telling you that this one thing will change everything. Ignore most of it. The founders winning with AI are finding the specific workflows that create the greatest impact for their specific business. That is where real results come from.
Prescribing before diagnosing
Most founders approach AI the same way. They see a demo on social media. The team gets excited. A tool gets plugged into operations. Everyone hopes it works.
Three months later, the tool is collecting dust. The team has quietly reverted to doing things the old way. And the verdict comes in: “AI doesn't work for us.”
I have seen this pattern play out dozens of times. And here is what I have learned: the vast majority of AI failures are problem-selection failures, not technical ones. Studies show that up to 80% of AI projects fail to deliver meaningful ROI. The founder picked the wrong problem. Or worse, they picked no specific problem at all.
In medicine, prescribing before diagnosing is malpractice. Yet in business, that is exactly what most founders do with AI.
Every company that successfully adopts AI has at least one senior person, often the founder, who deeply understands it, who has used it themselves, and who pushes for it when things get hard. Without that person, AI initiatives stall at the first sign of friction. With that person, the organization moves.
You cannot outsource this thinking to your team first. Your team is wired to improve the work they already do. They will find ways to make existing processes faster. That is their job.
Your job is different. Your job is to see the possibilities your team cannot see yet. To step back far enough to ask not “how do we do this faster” but “should we be doing this at all.”
A founder I work with runs a successful real estate business. He recently invested in AI education for himself before rolling anything out to his team. His reasoning: “If I can't see the business possibilities that AI creates, how can I expect my team to see them?”
That is the difference between leading from theory and leading from lived experience. Your team knows the difference. They always do.
The AI Leverage Audit
A five-step process to find where AI creates real value in your business. Not theoretical value. Actual, measurable, dollar-value impact. You can do it in an afternoon.
Walk through the audit
Each step builds on the last. Take them in order.
Start with your own workflows first
Before you touch a single team process, start with yourself. Nobody audits the founder. Nobody questions whether the way you spend your Tuesday morning is the best use of your time.
- How are you managing your own priorities right now? Is there a system, or is it mostly reactive?
- When you face a complex problem, where do you go for diverse perspectives?
- Are you using AI as a thinking partner for strategy, or just for faster output?
The founders pulling ahead right now are using AI as a thinking partner. A sparring partner for strategy. A way to pressure-test decisions before they become expensive mistakes.
Map your expensive problems
Don't start with what you want to automate. Start with where you are bleeding money.
- What is the most expensive problem you are dealing with right now?
- If you solved one thing that would move revenue, what would it be?
- Where are you losing money that you know about but haven't fixed?
Every answer should end with a number. “Our lead follow-up is slow” is a feeling. “Our lead follow-up takes 2 hours per rep per day across 8 reps” is a problem you can solve.
Decompose high-level tasks into atomic steps
Most of the tasks you think are “one thing” are actually seven things. Take “follow up with leads.” When you break it down: open CRM, filter leads, check ideal client profile, read submission details, draft response, send email, set reminder.
Seven steps. Some are judgment calls. Most are not. The ones that aren't are your AI opportunities. Keep asking “then what happens?” until the task can't be broken down further.
Run the Four-Question Filter
For every atomic task you mapped, ask these four questions:
Does this task start with structured input? Forms, emails, databases = yes. Vague verbal requests = no.
Does this task produce a predictable output? Standard responses, reports = yes. Creative strategy = no.
Are the decisions rule-based? If/then logic = yes. Judgment calls = no.
Is it repeated often enough to matter? Daily or weekly = yes. Quarterly one-offs = no.
Yes to all four? That task is a prime AI candidate. Yes to three? Still worth exploring. Two or fewer? Leave it to humans.
Prioritize using the Value Matrix
Plot each opportunity on two axes: business value (vertical) and implementation difficulty (horizontal).
Quick wins
High value, low difficulty. Start here.
Big swings
High value, high difficulty. Phase 2 or 3.
Nice-to-haves
Low value, low difficulty. Backlog.
Deprioritize
Low value, high difficulty. Skip entirely.
Start with one quick win. The one that pays for itself before the quarter is over.
What is inaction costing you?
Add your most painful processes below. The calculator shows you, in hard dollars, what you lose every year by not fixing them.
Time Wasted × People × Days per Year × Loaded Hourly Cost
The AI Opportunity Cost Calculator
Where is your AI readiness?
Rate yourself honestly. 1 = not at all, 5 = fully.
Move the sliders above to see your score.
Your first 30 days
Do not try to do everything at once. Here is the sequence.
- Run the calculator on your single most expensive process. Get the number.
- Block 90 minutes and map that process into atomic steps.
- Start using AI personally for one high-value activity.
- Run the Four-Question Filter on every atomic step. Sort into “AI-ready” and “human-only.”
- Pick your first quick win. Build it. Measure it. Share results with your team.
- Have an honest conversation with your team about AI readiness.
- Run the calculator on one new process every month.
- Review and retire AI initiatives that aren't delivering.
The biggest risk to any AI initiative is not the technology. It is adoption. The most successful founders I see treat AI adoption like a culture project, not just a tech project. They train their teams. They celebrate the wins. They make it safe to experiment. And they lead from the front.
The question AI can't answer for you
AI will separate the founders who think deeply about their business from the ones who just keep running it. The founders pulling ahead right now aren't the most technical. They're not the ones with the biggest AI budgets. They're the ones asking better questions.
Questions like: what work should no longer exist? Where is the real cost hiding? What would this business look like if I designed it from scratch today?
Those are leadership questions. And they're the ones AI can't answer for you.
Your job is to see what your team can't yet see. To diagnose before you prescribe. To lead the change with your own hands before you ask anyone else to follow.
Start there. The tools will meet you where you are.
Want to know exactly where AI creates the most value in your business?
I have partnered with Siddharth Varekar at Optomize.ai to offer founders a hands-on AI Audit. Siddharth has personally helped me build solutions for two of my own businesses and over 15 workflows. Two options: a Quick AI Audit to find your biggest opportunity cost, or AI Readiness Training for you and your leadership team.
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