The magazine for
AI-first MSPs and
IT teams

Founder's Note

A forward-looking message from our founder about the market, company, the purpose behind this edition.

Letter from the Editor

Personalized note to readers on the contents of the edition, the thought behind the theme and the stories chosen.

Why the agentic AI shift can't be a flip of a switch

Agentic AI is becoming a core layer of IT operations. Why leaders need a phased approach built on unified data, prepared teams, and strong governance.

Manal Iskander on leading IT with vision and empathy

Manal Iskander built PCtronics over three decades by reading change early. The president on humanizing technology, AI, and leading through the noise.

Why Jack Marshall says compliance, not AI, will redefine IT

Network Limited's Jack Marshall spent 14 years watching tech waves. He argues the biggest shift facing MSPs won't be AI, but legislation and compliance.

Jennifer Bleam on turning AI buzz into billable revenue

Sales Sherpa Jennifer Bleam has worked with nearly 2,000 MSPs. She breaks down how to package and sell AI services and turn efficiency into recurring revenue.

AI ethicist James Finister on trust and agentic AI

Most organizations aren't ready for agentic AI, says ethicist James Finister. A candid chat on readiness, common misconceptions, and building trust early.

Harrison Baron on using AI to scale MSP sales

Most MSPs treat AI like a tool and get mediocre results. Growth Generators' Harrison Baron on training AI like an employee to multiply sales and marketing.

Mike Mazzola's rise from teen tinkerer to MSP founder

From building his first computer at 12 to founding MazzolaTech, Mike Mazzola grew a full-service MSP on word of mouth. His path, and lessons for young MSPs.

IT veterans debunk the biggest myths about AI

Will AI replace IT staff? Does it work out of the box? Five ITSM veterans, including David Cannon and Phyllis Drucker, bust the most common myths about AI.

Future Incidents

Tarot cards showing what an AI-first IT world will look like - predictions on what kind of skills, teams, use cases etc. we will see with AI in IT over the next few years

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