How to Find AI Opportunities Using Theory of Constraints

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Are you really implementing AI in your agency the right way? Adding a random tool just to say you “use AI” isn’t the game changer many agency owners hope it will be. In fact, chasing shiny AI solutions can waste time, drain resources, and create tools your team never actually uses.

Many agency leaders, especially those aiming to build a sellable business, assume any form of AI integration will automatically boost their agency’s value. But today’s featured guest strongly disagrees. He’s seen firsthand how agencies fall into the trap of building solutions first and searching for problems later, a costly mistake that does more harm than good. Instead, he’s here to share how to approach AI adoption strategically, in ways that actually stick and drive real results.

Ken McLoud is the CEO of Laconic Technologies, a business that aims to help agencies figure out how to make AI actually useful. His specialty is finding high-leverage spots in your agency where AI can unlock growth without bloating your headcount.

Ken helps owners avoid wasted tools and instead roll out AI that gives their teams real superpowers.

In this episode we’ll discuss:

• How agency owners are forcing AI integration the wrong way.

• When to use custom code.

• A case study of real world wins and misses.

• The future of AI in agencies.

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E2M Solutions: Today's episode of the Smart Agency Masterclass is sponsored by E2M Solutions, a web design, and development agency that has provided white-label services for the past 10 years to agencies all over the world. Check out e2msolutions.com/smartagency and get 10% off for the first three months of service.

Stop Forcing AI Where It Doesn’t Belong

Ken specializes in helping agency owners start to think strategically about AI. One of the first things he warns about is the “solution in search of a problem” trap. Too many agency owners decide, “We need to be using AI somewhere,” and then jam it into the wrong part of the business. That usually leads to tools that sound cool but don’t move the needle, or worse, meet resistance from the very team that’s supposed to use them.

Instead, Ken suggests starting with the business itself. Are you demand-constrained (needing more leads) or supply-constrained (too much work, not enough capacity)? His litmus test is simple: if a fairy godmother doubled your clients overnight, would you cheer or panic? That answer tells you where the bottleneck really is, and that’s the exact spot where AI should be applied.

Case Study: Smarter Finance Insights with AskQuick.ai

Ken worked to build AskQuick.ai with Nate Jenson, a fractional CFO who worked with tons of agencies. Nate had deep financial expertise but needed a way to scale his brain. Together, they built AskQuick.ai, a chatbot trained on Nate’s own textbook of agency finance.

The result was a tool that taps into a client’s QuickBooks data to deliver specific insights, like spotting which clients are actually losing money. After a rebrand, he is now marketing the product as a simple, agency-friendly tool rather than a complex back-end.

No-Code Tools vs. Custom Code: Where’s the Breaking Point?

Every agency owner has been tempted by tools like N8N, Zapier, or Make.com. According to Ken, these tools are perfect for simple workflows and stuff you could explain in one or two sentences. These tools are often pitched as something anyone with a computer and no experience ca n use, but once your automation starts piling up with dozens of nodes, things break constantly, and you spend more time fixing than benefiting.

That’s when it’s smarter to build custom code. Ken compares it to driving stick shift: more control, less frustration, and often a way faster solution.

AI As a Superpower Not a Replacement

For Ken, the real promise of AI isn’t replacing people, but rather upgrading them. He calls it “giving your team superpowers.” By offloading the repetitive, low-value work to AI, you free up your people to focus on strategy, creativity, and client impact.

Instead of fearing AI, most teams welcome it. Nobody loves repetitive tasks, and when you use AI to clear that away, your staff gets to spend more time on what actually lights them up.

Real-World Wins (and Misses)

If you’re wondering how some agencies are using AI right, Ken has seen quite a few examples. For instance, an Australian medical agency built a custom chatbot trained on years of proprietary medical content. The tool now helps their writers quickly draft accurate, technical marketing content; something that would have taken hours of research before. Huge win.

On the other hand, this agency built a classic example of a solution in search of a problem. Basically, the owner wanted an elaborate folder system to organize AI chats. It sounded clever, but the writers never actually needed it. Why? Because new AI queries were faster than digging through folders. A perfect example of chasing a solution before identifying a real problem.

The Future of AI in Agencies in Plain English

Looking ahead, Ken sees AI becoming a tool to replace code and processes. Many things we used to hardwire with messy “if-this-then-that” logic can now be handled with prompts. That means non-technical agency owners can adjust systems in plain English instead of hiring a developer every time they need a change.

These tools can make all the difference for agencies that get hundreds of deals come through every day and need a quick way to sort through the ones that can be most profitable from those that likely won’t. In these cases speed is everything and AI can deliver in a way that human response cannot.

However, Ken is also clear that not every problem should be handed to AI. High-value, low-risk areas, like grading prospects or filtering opportunities, are perfect testing grounds. Mission-critical, high-risk functions will probably still need human oversight for a while.

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