AI is everywhere right now. Every vendor has an AI feature. Every conference has an AI track. Every LinkedIn post promises that AI will revolutionize your business.
But here's what nobody is saying loudly enough: most businesses aren't ready for AI — and the ones that rush in without asking the right questions end up wasting money on tools nobody uses.
I work with professional services firms — CPA practices, law firms, consultancies — helping them adopt AI in a way that actually sticks. And before any engagement begins, I walk leadership through these five questions. If you can answer them clearly, you're ready. If you can't, that's where the real work starts.
1. What specific problem are we trying to solve?
"We need AI" is not a strategy. It's a reaction to a headline.
The firms that get the most value from AI start with a pain point, not a technology. Maybe it's associates spending 12 hours a week on document review that could be partially automated. Maybe it's client intake taking three days when it should take three hours. Maybe it's your team drowning in email and missing deadlines.
Start with the workflow, not the tool. AI is only valuable when it's solving a real problem that your team feels every day.
Ask yourself: If I could wave a magic wand and eliminate one bottleneck in our operations, what would it be?
2. Do we have the data to make AI useful?
AI isn't magic. It's pattern recognition — and patterns require data.
If your firm runs on Post-it notes, tribal knowledge, and "ask Susan, she knows where that file is," then AI won't help you yet. You need structured, accessible data before AI can do anything meaningful with it.
This doesn't mean you need a data warehouse or a team of engineers. It might mean digitizing your intake forms, organizing your document management system, or simply getting your team to use consistent naming conventions.
Ask yourself: Could a brand-new employee find and understand our key information without asking someone? If not, neither can an AI tool.
3. Is our team ready to change how they work?
This is the question that kills most AI projects — and it has nothing to do with technology.
I've seen firms invest $50,000 in AI tools that sit unused because nobody was trained, nobody was consulted during the selection process, and leadership treated it as an IT project instead of a change management initiative.
Your team needs to understand why you're adopting AI, how it will affect their daily work, and what's in it for them. If the answer to that last one is "we're replacing you," expect resistance. If the answer is "we're eliminating the parts of your job you hate so you can focus on higher-value work," expect buy-in.
Ask yourself: Have we talked to the people who will actually use these tools about what would make their work easier?
4. What does success look like — and how will we measure it?
"Improved efficiency" is not a metric. "Reduced document review time from 6 hours to 2 hours per engagement" is.
Before you spend a dollar on AI, define what you expect it to accomplish in concrete, measurable terms. How many hours saved per week? How much faster is client onboarding? How many fewer errors in data entry?
These metrics serve two purposes: they help you evaluate whether the investment was worth it, and they help you build the business case for expanding AI adoption across the firm.
Ask yourself: Six months from now, what specific numbers would make us say "this was worth it"?
5. Who is going to own this?
AI adoption doesn't happen by committee. It needs a champion — someone who is accountable for the rollout, tracks progress, addresses resistance, and keeps the initiative moving forward.
In smaller firms, this might be a managing partner who cares about innovation. In larger firms, it might be a dedicated role (this is literally what I do at my day job as an AI Adoption Lead at a CPA firm). Either way, if nobody owns it, it dies.
Ask yourself: If I asked "how's the AI rollout going?" in three months, who would have the answer?
The Bottom Line
AI can genuinely transform how professional services firms operate. I've seen it reduce administrative burden, accelerate client delivery, and free up professionals to do the work they actually went to school for.
But it only works when you approach it with clarity, not hype. Ask these five questions first. If you don't love your answers, that's not a problem — that's a starting point.