Bugle Magazine 2025-Fourth edition_First Final8 1.png

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.

Bugle Magazine 2025-Fourth edition_First Final8 1.png

Company - PCtronics


⁠Location - Los Angeles, California, USA

Team - 8 

Specialization - Managed IT Services, Data Protection and Cyber Security, IT Project Management


⁠For readers who may not know you, how would you introduce yourself?
I am a visionary dedicated to humanizing technology. My mission is to elevate humans through artificial intelligence, inspiring companies to replace their fear of AI with the understanding that it is here to expand our potential, not replace it.
Outside of work, what are some hobbies or passions that energize you? I live by a simple truth: "To lead through noise, you must master the quiet." I find my energy in the stillness of the early morning, the patience of gardening, and the discipline of yoga. I need that grounding to balance the high speed of technology. Whether I am cooking a meal for my family or designing a new concept, I am energized by the act of creation. I protect these moments because I know that true vision is born in reflection, not reaction.
What is one personal habit or interest that people might be surprised to learn about you? People are often surprised to learn that I produced a PBS television show called Musicology. I have always had a deep love for culture and storytelling. I actually speak five languages, and that creative background is a huge part of who I am. I have a little tagline that guides me: "If you know the words the world is made up of, you can make of it whatever you wish." That mindset is what I bring to the tech world. I don't just look at the code; I look for the story and the rhythm behind it.




⁠Reading the Signals Before the World Does


⁠Inside Manal Iskander’s Journey as the Leader Who Always Arrives Early





⁠It’s said that what sets a great entrepreneur apart from a good one isn’t only how well they play their game but how well they play the market.


⁠Manal's three-decade journey as the president of PCtronics is a testament to that.


⁠Her success hasn't come easy. Nothing was handed to her on a platter. She was a woman working to make her mark in a male-dominated field, a fundamentally creative person (with a PBS TV show to her credit — but more on that later!) operating in a highly technical space, and her background wasn’t in IT services but in global finance. She shattered stereotypes instead of fitting into them.


⁠Today, Manal stands among the most successful MSPs and has been running PCtronics for close to three decades.


⁠Listening to the Signals


⁠Manal’s defining advantage has always been her conviction that success comes from reading the signals others miss. From her initial entry into the MSP space to her current leadership in AI integration, restless curiosity and market intelligence have been her competitive edge.


⁠For example, while her background and formal education were in global finance, she became an MSP because she sensed where the future was moving.


⁠“I saw capital pouring into technology and realized it was not just a sector; it was the future of human interaction. I started this journey because I knew technology would fundamentally reshape not just how companies operate, but how they reach, understand, and serve their clients.”


⁠Manal founded PCtronics in 1997. She started with a small team comprising MIT graduates and others who were ahead of the curve technologically. Manfred Schmutzer, now CTO and one of PCtronics’ founding members, was among the first engineers to obtain a formal Microsoft Certification. She gradually brought in experts across cybersecurity, marketing, operations, and engineering. PCtronics quickly became the IT consultant of choice for diverse industries across Southern California.


⁠Over the last couple of decades, PCtronics enjoyed sustained growth and maintained its edge over many of its competitors with the unique ability to transfer knowledge between industries. Manal takes pride in the company’s talent for resolving IT issues without major capital expenditure — delivering out-of-the-box solutions through multiple downturns, including the late 2000s and the Covid-19 pandemic.


⁠Her north star has never changed: track where money flows, where attention shifts, where research leads, and where talent migrates — and arrive early. 


⁠“What keeps me motivated is seeing that transformation happen in real time.”


⁠And this is what makes Manal and PCtronics one of the frontrunners in the AI race now. 


⁠The AI Inflection Point 


⁠“Three years ago, I started noticing a shift that most MSPs were ignoring. I saw the same pattern as the early internet and again during the startup boom. Money, attention, research, and talent were quietly moving toward artificial intelligence. The signals were loud if you knew how to look for them.”


⁠PCtronics began exploring AI long before it became the necessity it is today.


⁠This required reshaping her mindset as both leader and MSP. With AI in the mix, PCtronics could no longer just chase tactical efficiencies like faster ticket resolution; it had to redesign for strategic outcomes.


⁠“It pushed me to break down internal processes, map workflows, document decisions, and study how my team worked across operations, marketing, support, and development.”


⁠“For me, the trigger was simple: if the future was intelligence, then PCtronics needed to be a company built on intelligence. We needed to experiment, fail, adjust, and learn while the rest of the market argued over definitions.”


⁠PCtronics then became Customer Zero to see first-hand how AI sees information, interprets signals, and becomes valuable before it reaches clients.


⁠While Manal was clear on what she wanted to do, it wasn’t easy steering her team. The noise and fears about AI replacing humans hit her team as well.


⁠“I approached the pushback by completely lowering the stakes. I did not force them to train on AI. I encouraged them to play with it.”


⁠She also invested time in teaching her employees about AI — how it works, how it interprets information, and how workflows need to be documented. “I wanted them to understand the story behind the tools, not just the tools.”


⁠AI adoption is a human journey before it is a technical one


⁠Most MSPs try to push AI top down without preparing their teams emotionally. But AI adoption is a human journey first. If your team does not feel supported, included, and empowered, the technology will not land.


⁠Everyone at PCtronics was encouraged to use AI for their work and familiarize themselves with AI tools. And this worked exactly as expected. They learned to trust the process. They learned to trust themselves. They learned to trust the technology. It took the fear out of the room, and curiosity replaced the fear.


⁠What surprised me most


⁠How quickly AI reveals your blind spots.


⁠How fast it gives back time.


⁠How dramatically it changes culture when people feel relieved instead of overloaded.


⁠And how powerful it is when a team sees their leader dive into something most of the industry still fears.


⁠Building an AI-driven Human-First MSP


⁠Being Customer Zero was the turning point that made PCtronics an AI-native MSP. Today, they’re already ahead of the curve — not because of the number or kind of AI features they offer but because they’ve rewired their team to have outcome-based conversations and step up to providing strategic value in addition to tech support.


⁠When people talk about AI, they often imagine a world with less human connection, less personal interaction, and less care. But Manal says that with PCtronics, it was quite the opposite.


⁠“AI brought the human element back into my company. It returned space, attention, presence, and depth to places that had been buried under noise for years.” 


⁠Before building the intelligence layer, her team was drowning in the constant noise of maintenance — endless triage, repetitive checks, and manual steps that offered no creativity and no real value. Shifting to an intelligent PSA like SuperOps and allowing tools like Rewst to take over those repetitive layers, led to something unexpected. The team became more available, more thoughtful, and more present.


⁠“One of the greatest transformations inside PCtronics has been watching my team evolve from traditional technicians into strategic thinkers. This shift did not happen just because I asked them to change. It happened because AI made it possible and necessary.”


⁠AI removed the repetitive work that kept them stuck in reaction mode. Once that noise disappeared, the real version of my team emerged. This is what begins to turn an MSP into a strategist.


⁠Now, this same discipline cascades to PCtronics’ clients as well. “We do not just fix the error code and walk away. We use the data we collect to show them where they are inefficient. We help them solve problems they did not even know they had. We help them meet their goals more productively.”


⁠Strategy became more valuable than speed. It is easy for MSPs to believe their value is tied to how quickly they respond. But speed alone does not change a business. Insight does. Guidance does. Direction does.


⁠“This shift demanded leadership that understands human growth. The transition to strategy is not natural for every technician. Some needed reassurance. Some needed training. Some needed encouragement to think bigger,” Manal says.


⁠The moment people believe they can think at a higher level, they begin acting at a higher level. Technicians who were once overwhelmed became calm. Technicians who only followed instructions began giving direction.


⁠This is the true power of AI — it elevates the human being. The MSPs that survive the next decade will be the ones who learn to strategize, not just execute.


⁠Laying the groundwork to be AI-ready


⁠Manal’s story shows that being AI-ready requires work. One can’t simply plug AI in and expect processes to be fixed. AI will not save a broken workflow. It will only accelerate whatever already exists. If your processes are weak, AI will make them collapse faster. If your processes are clear, AI will scale them with power and precision.


⁠Retrofitting AI features helps, but it only makes a system AI-assisted, not AI-native.


⁠Here’s Manal’s framework to lay a robust foundation:





⁠1. Digital Readiness and The Ecosystem
Most MSPs are excited about AI but completely unprepared for it. Their data is scattered. Their stack is inconsistent. Their decisions rely on tribal knowledge instead of structured knowledge.
The real work is the invisible work. It is identifying where the friction lives. It is moving from manual chaos to a structured ecosystem. We are moving toward a world where intelligence models will be interchangeable, and the defining factor will be the protocols, like MCP or AG UI, that allow information to move freely.
If your data is not structured and your processes are not mapped, you cannot participate in this ecosystem. Digital readiness is the price of entry.
2. The Human Foundation
This is the part almost no one talks about, but it is the most critical. AI is not just a technical shift. It is an emotional shift.
People fear what they do not understand. They worry about privacy. They worry they will be replaced. They worry they will be left behind. As a leader, you must address these fears directly to have an adoption that is seamless.
People must feel supported.
They must feel included.
They must feel capable.
They must feel that AI is here to elevate them, not erase them.
This leadership layer is the foundation. Without it, AI adoption crumbles. You need leaders who can bridge that gap.
3. Intention, Structure, and Courage
This is the mindset required to build something that lasts.
Courage: This is the willingness to look in the mirror. It takes courage to admit that a process you built ten years ago is broken. It takes courage to pause the shiny object chase and do the difficult work of documentation. It takes courage to tell your team, “We are stopping to fix this foundation before we move forward.”
Intention: This is knowing the why. We do not implement AI just to be faster. We do it with the specific intention of creating better outcomes. If you cannot define the intent of the automation, you should not build it.
Structure: This is the discipline of security. As an MSP, we deal with sensitive data that absolutely cannot leave our tenant. Structure means building a framework where that data is locked down behind multiple security layers. The irony is that we use an AI intelligence layer on top of those security layers to keep them safe. It is the rigorous architecture that turns a risky experiment into a secure, reliable business model.
Once those three elements are in place, AI becomes transformative.
Without them, AI becomes noise.




⁠Being AI-native requires a structural change, especially with data. AI-native means everything begins with data flow, not tools. We ask how the data moves. We think like architects, not technicians. We understand the new vocabulary of intelligence.


⁠“This is a massive opportunity for small and medium businesses. Enterprise corporations have been using this kind of intelligence at scale for a long time. They have always had the data advantage. Now that power is available to us. We can finally compete on value rather than just headcount.”


⁠How success is measured changes as well. Teams no longer measure speed but look at outcomes, consistency, and accuracy. Success is the client moving forward because the system predicted the issue before it happened. “We are witnessing the death of the traditional “Managed Service Provider” and the birth of the “Managed Intelligence Provider” (MIP).”


⁠But the reason this matters is not just about a name change. It is about equity. We must use AI to elevate small and medium businesses the way enterprise companies have been elevated for decades.


⁠Enterprise organizations have always had access to advanced analytics, intelligent automation, deep workflows, and strategic insights. SMBs never had that privilege. They relied on manual processes, guesswork, and whatever their internal team could handle.


⁠AI changes that. For the first time in history, the intelligence layer is available to everyone, not just the enterprise market. The opportunity for us as MIPs is to bring that intelligence down to the SMB level in a way that is safe, secure, and outcome driven.


⁠Partners like Pax8 and SuperOps have been instrumental key in helping turn MSPs into MIPs. 


⁠“They are not just selling software; they are creating the boot camps, the education, and the platforms we need to understand this new landscape.” 


⁠SMBs do not need hype. They need direction. They need guidance on governance, privacy, security, and safe data boundaries. The MSPs who step into this role will redefine the industry — not just because they use AI, but because they use it to give small businesses the kind of intelligence that was once impossible for them to access.


⁠That is the opportunity worth fighting for.






⁠What has been the most empowering part of being a woman in this industry? 
Knowing that my presence alone challenges the expectations people often have of the tech industry. It reminds others that leadership can look different. It can come from a place of clarity rather than force. It is empowering to stand on stages and speak about artificial intelligence with confidence and depth, proving that women belong in the conversations that shape the future of this industry.
What advice would you give to other women who are entering or growing in the MSP/tech field? Do not wait for permission. Do not wait for an invitation. You deserve a seat at the table.
We are not here to just witness the evolution of technology. We are here to influence the conversation and shape the narrative. Your voice brings a balance and perspective that this industry desperately needs. When you step up, you do not just take up space. You empower the entire ecosystem to be better. So speak up. Stay curious. Never shrink yourself to make the room comfortable.
Working in male-dominated environments my entire career taught me to lead through intelligence rather than ego. My leadership style is shaped by a simple belief: if you want people to follow you, you need to make them feel understood, supported, and capable.
“As a female founder in a male dominated industry, I learned very early that if you want to survive, you have to read the currents before the wave hits.”
What is one mindset or belief that has helped you thrive in a space that is often male-dominated? 
The belief that has always carried me is very simple: Curiosity is power. Curiosity keeps you learning. It keeps you moving. It keeps you from becoming invisible in a fast-moving industry.
I also realized early on that I didn't need to emulate traditional male leadership to survive. In a room full of linear thinkers, I bring the ability to see the lateral connections, the human dynamics, the unsaid friction, the emotional drivers. I refuse to accept that empathy is a "soft skill." In this industry, empathy is actually high-level pattern recognition. It is the missing data point that turns a technical tool into a business solution.
I never stopped asking why, and I never let anyone convince me that technology was a space where I did not belong.
Curiosity creates momentum. Momentum creates confidence. Confidence creates leadership. That path is available to every woman who chooses to take it.

Read more stories

1/11

Bugle Magazine 2025-Fourth edition_First Final4 8.png

Founder's Note

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

Screenshot 2026-08-05 at 3.34.46 PM 1.png

Letter from the Editor

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

Bugle Magazine 2025-Fourth edition_First Final6 1.png

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.

Bugle Magazine 2025-Fourth edition_First Final22 1.png

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.

Bugle Magazine 2025-Fourth edition_First Final15 2.png

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.

Bugle Magazine 2025-Fourth edition_First Final19 1.png

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.

Bugle Magazine 2025-Fourth edition_First Final27 1.png

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.

Bugle Magazine 2025-Fourth edition_First Final30 1.png

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.

Bugle Magazine 2025-Fourth edition_First Final33 1.png

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.

Bugle Magazine 2025-Fourth edition_First Final36 1.png

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

Bugle Magazine 2025-Fourth edition_First Final39 1.png

Book Mark

Archive

All Editions

1/5

issue-3.png
Issue 3April 2024

The magazine for
AI-first MSPs and
IT teams

Justin Esgar

CEO, Vitrua consulting

ImageWithFallback.png
Issue 2April 2024

The magazine for
AI-first MSPs and
IT teams

Natalia Scheidegger

CEO, 3RD Mill

Magazine Bugule Cover 1.png
Issue 1April 2023

The magazine for
AI-first MSPs and
IT teams

Paco Lebron

CEO, Prodigyteks