The Headless Future: Re-Engineering Your Tech Stack for the AI Era with Ben Edwards | Episode 264
Apple PodcastsSpotify Episode Summary SaaS isn’t dying, but the way founders use it is about to change. Ben Edwards of […]
Apple PodcastsSpotify Episode Summary SaaS isn’t dying, but the way founders use it is about to change. Ben Edwards of […]
Most of us feel overawed where to place our AI bets. I’ve definitely felt uncertainty making some calls, so I empathize a lot with fellow C54 members being hit from all angles… However, I luckily have a fool-proof methodology that will make us all millions more dollars!!!
To drive real results, AI can’t be something you dabble with randomly. It has to attach to re-al friction in your day-to-day work, or it turns into “you tried ChatGPT for a week” and moved on.
Everyone is on a different part of the AI Maturity Curve, and this guide aims to keep people moving to the next level. I get it, you’re drowning in work and your to-do list never gets shorter. You watch other firms moving faster, winning bids, delivering better work.
A three day AI build saved a logistics company $180K per month and turned into nearly seven figures in ARR. That’s not a flex. It’s a signal that outcome based pricing and AI leverage are rewriting how professional services firms compete.
A simple, repeatable plan to pick wins, launch pilots and measure impact.
You don’t need a lab or a giant budget to start. You need a clear why, a short list of high-impact problems, and a fast way to test. Here’s the formula I’ve used for my company and clients that you can run as a visionary founder or owner to build your “getting started” roadmap.
How much of your hesitation around AI is about real risk—and how much is about uncertainty?
Lately, I’ve had a lot of conversations with other founders about privacy and IP in the age of AI. Most are worried. They fear exposing client data, losing control of their IP, or stepping into a legal gray zone they don’t fully understand. Those are real concerns. But here’s the thing: every transformative technology starts this way: undefined, messy, and full of opportunity for the ones who move first.
CEO’s are putting a lot of pressure on their organizations to “adopt artificial intelligence.” Often it stems from a board mandate. But few know what it means to “adopt” and recent data from MIT proves this point.
Are you still building your consulting practice on the traditional pyramid model while your competitors race toward AI-powered transformation? Here’s a wake-up call: the consulting industry has fundamentally changed. While you’re optimizing billable hours and adding junior analysts, forward-thinking firms are already leveraging AI-amplified expertise to deliver five times the value without increasing their overhead.
In professional services, we pride ourselves on solving complex problems with smart people. But when it comes to adopting artificial intelligence, the constraint is rarely the technology; it’s us. Research shows that people resist, and sometimes even sabotage, AI initiatives. CIO.com, reported in the Pivot 5 newsletter, released a study revealing that 31% of workers (including 41% of Millennials and Gen Zs) are actively undermining their company’s generative AI rollout.