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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.
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.
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.
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