Hiring Applied AI Practitioners
The people who can help you actually use AI exist. Here's how to think about finding and working with them.
Why You Need Outside Help
Most businesses know they should be using AI. Very few have someone internally who can lead the transformation. Your existing team is busy running the business. They may be curious about AI, but curiosity alone doesn't close the implementation gap.
Applied AI practitioners are people who specialize in bridging that gap. They help organizations go from “we know AI matters” to “AI is working for us every day.” The work ranges from automating specific workflows to transforming how your entire team thinks about and uses AI tools.
Are You the Ideal Client?
Here's a quick litmus test: have you done the same thing hundreds or thousands of times?
If you're a coach who has worked with 2,000 clients, an accountant who has filed thousands of returns, a recruiter who has placed hundreds of candidates, or any professional with a refined methodology built from massive repetition, you are exactly the kind of person an applied AI practitioner can supercharge.
Your volume is the proof. It means your process works, your intuition is real, and the ROI of automating even a small part of your workflow is enormous. You don't need to be convinced that your methodology is sound. Thousands of past clients already proved that. What you need is someone who can take that proven process and multiply it with AI.
If this sounds like you, skip the hesitation. You're not exploring whether AI could be useful. You're sitting on a goldmine. Find a practitioner and get started.
What Practitioners Actually Do
Not all applied AI work looks the same. Understanding the different types of help available will save you time and money.
Workflow automation. A practitioner audits a specific process (lead intake, reporting, customer follow-up) and builds an automated version. This is the most common starting point. It's concrete, measurable, and usually delivers ROI quickly.
Executive coaching. A practitioner teaches you and your leadership team how to use AI tools directly. Not building custom software. Teaching you to use ChatGPT, Claude, or industry tools as a strategist, sense-maker, and decision-support system. Many executives underestimate how powerful this is.
Culture transformation. A practitioner helps your entire organization adopt AI. This looks like internal hackathons, training programs, and adoption frameworks. It's the hardest type of engagement to scope, but it's also the most impactful. One cultural shift can unlock more value than a hundred individual automations.
Custom tool building. A practitioner builds something that doesn't exist yet. A custom AI agent, a specialized dashboard, an internal system that connects your data sources in new ways. This is deeper work that requires the practitioner to truly understand your business.
For your first AI project, use existing tools. Keep the scope tight. Your goal isn't to build AI capabilities from scratch. It's to prove that AI can deliver value in your specific context. Once you've validated that, you'll have the knowledge and confidence to invest in custom solutions.
Internal champion development. You might already have someone on your team who could become your AI person. Investing in an internal champion (through training, time, and support) can be cheaper and faster than hiring externally. They already know your business, your culture, and your people. For more on this path, see the intrapreneurship section of The Applied AI Economy.
For more on what all these categories look like from the practitioner's side, see The Applied AI Economy.
The Startup Opportunity
Here's something most business owners don't consider: you might be sitting on a startup.
If you work with a skilled applied AI practitioner and together you solve a real problem in your industry, that solution probably isn't unique to you. Thousands of other businesses in your space have the same pain. You have the domain expertise. The practitioner has the technical skills. Together, you could build a product.
Vertical AI startups (AI products built for a specific industry) are one of the biggest opportunities in the economy right now. The best ones are co-founded by someone who knows the industry cold and someone who knows how to build with AI. If your practitioner engagement goes well, it's worth asking: could this be bigger than just us?
The Shadow-and-Decompose Pattern
The most effective way to onboard a practitioner isn't to hand them a project brief. It's to have them shadow your team.
A great practitioner's first job is observation, not building. They sit next to your team members, watching the actual clicks, the actual steps, the actual decisions, and decompose what they see into automatable workflows. The insight comes from witnessing the gap between how people describe their work and what they actually do.
This pattern works because:
- People can't accurately describe their own workflows (they skip steps they've internalized)
- The practitioner spots automation opportunities the team doesn't even recognize as repetitive
- It builds trust before any changes are made
- It produces a workflow map grounded in reality, not assumptions
Budget 1-2 weeks of pure observation before any building begins.
How to Find Practitioners
The Applied AI Society exists to connect business owners with practitioners who are actually doing this work.
Attend an event. Applied AI Live events are designed for practitioners and business owners to meet in person. You'll see real implementations presented live and have the chance to talk directly with the people who built them.
Post an opportunity. If you have a specific need, reach out to us. Our north star is connecting practitioners with real applied AI opportunities. Your project could be someone's next great engagement.
Start with the three-stage path. Before you hire anyone, walk through our Quick Check, Situation Map, and Pilot Scope. These tools help you articulate what you actually need so the right practitioner can find you.
What You Cannot Hire Out
This playbook is about what to hire for. The counterpart is Don't Delegate Your AI Literacy: the operator-level literacy that determines how you personally think, communicate, decide, and lead is not a function you can hire a practitioner to perform for you. Read both to understand where the hire ends and where your own work begins.
The people who can help you exist. The economy that connects you is forming. Let's build it together.