UnHacked

The episode delivers concrete, actionable insights about AI automation and ROI calculation (the $2,500 → $80K framework, license automation, onboarding workflows). However, significant portions are consumed by banter, setup mishaps, and conversational filler that dilute the density of novel claims per minute. The core business ideas are sound but not densely packed relative to total runtime.

“So you've been given twenty, almost twenty-two thousand dollars to pay employees. Now, generally speaking, an employee should generate three to four times their wages in value, in gross revenue for a business. All right. So you in effect have given yourself eighty thousand dollars in top line revenue opportunity”

“it will automatically go into our Halo system and it will adjust it. So if we want from 10 to nine, we're only billing them for nine starting in February”

The core idea - using AI to automate repetitive MSP workflows and redeploying labor capacity for revenue - is logical but not particularly novel in 2024. The specific applications (license reconciliation, onboarding portal, agent-based field technician prompts) show tactical originality, but the underlying thesis of AI-driven efficiency and leverage is well-established in B2B circles. The contrarian edge is muted.

“we created a form right onto our platform and they go in there and fill out the information that they're doing anyway. They hit submit. It goes to my technicians and my technicians will review it and approve it. It will automatically get automated”

“this formula with 10x to 50x is a real number. This is not hype”

Mario Zaki is a practicing MSP CEO with real operational depth - he has actually built, deployed, and measured the impact of these integrations in production. He speaks from direct experience, not theory. Joshua Holloway is also a practitioner-level operator (MSP CEO, compliance specialist). Both are credible, hands-on experts with skin in the game. Not celebrity guests; authentic operators with earned authority.

“Mario Zaki, CEO of Mastek IT located in New Jersey. We specialize in helping small to medium sized businesses, again, navigate through the IT and AI world”

“My technicians know that we're in the problem business. We're not in necessarily the IT business. We're in the problem business. So if our customers are happy because they have no problems, then their lives are happy because I'm happy”

Strong on concrete numbers and timelines: $22K annual labor savings, 305 hours saved, 45 minutes reduced to 1 minute per onboarding, January automation freeing an entire technician month, $2,500 setup cost, 8 onboardings per week. Named tools (Ninja, Halo, Teams, Microsoft 365, ChatGPT). Some vagueness around AI model specifics and deployment details. The $80K top-line calculation is derived reasoning, not independently validated, but the underlying metrics are solid.

“on average about non-boarding or off-boarding will take about 45 minutes of technician time. And we have about maybe eight a week or so that we do. The average time we've saved is about 305 hours for the entire year, which was $15,250. And the license automation that has saved us the entire month of January for one technician. is about $6,600”

“it will automatically checks on a daily basis every customer, were they reduced by anything or increased by anything, mostly reduced by anything, and will automatically adjust the renewal that is supposed to take place in February”

Justin hosts but admits he doesn't fully listen during recording, reducing follow-up quality. Questions are often softball setups rather than probing challenges. The trio rarely disagree or push back substantively on claims - the tone is collegial rapport-building rather than intellectual rigor. Some good tactical follow-ups (e.g., on billing reconciliation), but mostly the conversation validates rather than interrogates. Banter and production mishaps consume time that could deepen inquiry.

“I try to get you guys talking so I can think about what the fuck we're gonna say next... I don't always hear what you say”

“Mario, real quick, and I'm I you've probably said this, but as I mentioned, I don't always pay attention”