Why Trust Leads Transformation, Not the Other Way Around — Paramdeep Singh Saini, Cansel Group

Paramdeep Singh Saini’s career spans the full arc of modern enterprise technology. Beginning as a developer during the rise of service-oriented architecture, he has since held leadership roles at organisations including Loblaw, Manulife, and Sunnybrook, navigating successive industry transformations from monolithic systems to microservices and generative AI. 

Now leading technology and IT at Cansel Group across the United States, Canada, and the United Kingdom, his mandate covers enterprise architecture, IT operations, business applications, cybersecurity, ERP, CRM, and AI strategy. Cansel Group is North America’s largest distributor of geospatial data capture equipment, serving engineering, construction, utilities, forestry, and rail sectors. 

A co-author of Unshakable Leadership, Paramdeep is a firm believer that the technology leaders who thrive are not the deepest technical experts, but those who combine technological fluency with the business acumen and stakeholder relationships needed to drive meaningful change.

What has the five-year technology cycle taught you about leadership?

From SOA to agentic AI, Paramdeep reflects on why each wave of disruption demands more business acumen than technical depth.

“I’ve seen major technology shifts arrive roughly every five years throughout my career. Service-oriented architecture gave way to microservices, which gave way to generative AI, and now we are entering the agentic era. Each wave demands that leaders adapt—not just technically, but strategically.

What excites me about my current role at Cansel Group is that we operate in a niche field: geospatial data capture for engineering, construction, utilities, and forestry. Technology leadership here is not about chasing the latest trend. It is about understanding the business we support and aligning technology investments to where they create genuine value. A technology leader needs business acumen to survive in the transformation era. That has always been true, but it becomes more urgent with every cycle.”

Why do 95% of AI pilots fail?

Paramdeep argues that the biggest misconception in AI adoption is the belief that organisations must do something with AI simply because everyone else is.

“The knee-jerk reaction is the problem. Organisations feel they have to do something with AI because of the noise in the market. But the first question should always be: what is the business outcome you are looking for?

If an AI agent costs seventy thousand dollars to do the same job as a support person costing sixty thousand, why would you implement it? It is more about defining whether you want to reduce operational overhead, increase employee productivity, or gain a reputational advantage as a technology leader in your industry. Companies that have determined what AI will do for them are the ones that succeed. The ones that struggle are the ones where the CEO heard something, the CIO implemented something to answer back, and nobody defined the outcome. You end up with a stained pilot, no dollars saved, and no increase in sales.”

When should organisations invest in new technology versus waiting for ROI?

Drawing on real-world examples from legacy ERP systems to early JavaScript frameworks, Paramdeep explains why timing your technology investment is a strategic discipline.

“Do you need to be a leader, or do you need to move with the industry? That question defines where you invest. Being an early adopter is great, but it comes with risk. I have seen teams implement the first version of a framework, only to find that the next version was an entirely different architecture—and they were stuck.

Some organisations wait for the second or third iteration of a technology before committing. Others invest early because they are consulting firms that need to advise clients on the latest developments. It all ties back to which industry you are part of, whether you can afford to invest—and whether the mathematics work. If you have already put significant capital into a platform, a CFO will tell you straightforwardly: we have to wait until that investment has been fully utilised before moving to the next generation. Sales are not stopping. The business continues. So the question is not whether the new technology is better. It is whether the timing is right.”

How is the CTO role evolving from operations to strategy?

Paramdeep sees the traditional 70/30 split between keeping the lights on and innovation shifting to a 50/50 strategic mandate within the next five years.

“The CTO, CIO, and Chief Digital Officer roles are converging. The expectation is moving beyond just technology—it is about the business acumen that sits alongside it. I see this role earning a seat at the board table, driving strategic outcomes rather than simply keeping the lights on.

The traditional investment model follows a 70/20/10 split: seventy per cent on operations, twenty on transformation, and ten on innovation. I see that shifting to fifty-fifty in the next three to five years. Keeping the lights on will become seamless, and innovation and transformation are where technology leaders will spend most of their time. We are at a juncture where a drastic change is coming—comparable to the shift from horse-drawn carts to motor cars. The key question will no longer be how to bring AI into the organisation, but where humans need to come in versus where the machine needs to operate.”

Why does trust lead transformation, not the other way around?

Paramdeep explains why the principles of empathy, incremental delivery, and stakeholder alignment have remained constant throughout every technology cycle he has navigated.

“Transformation does not lead trust. Trust leads transformation. That is the distinction I want to emphasise.

How does someone trust you? When you have said something and delivered it. Trust-driven transformation requires taking baby steps. Even if you know something is possible from day one, implementation often fails not because of the technology, but because of the people and processes surrounding it. You must build alignment first, deliver on small commitments, and expand your area of influence through credibility.

The leadership principles that remain constant are empathy, the ability to create other leaders, and giving people the right environment to grow. Operating styles change depending on the situation, but the principles do not. And in the future, the technology leaders who succeed will be those who are strongest in relationship building and stakeholder management. The deeper you go into technology, the harder it becomes to go horizontal. When you have a seat at the table, you need the trust of other leaders to drive the strategic priorities you believe in.”

Join the Conversation: The Ortus Club’s Executive Network

As Paramdeep’s perspective illustrates, the most effective technology leaders are not those with the deepest technical expertise, but those who combine business acumen with the stakeholder relationships needed to drive change. His principle that trust leads transformation—not the other way around—reflects a broader reality: in a world where AI pilots fail at a rate of 95%, execution credibility and strategic alignment matter far more than adopting the latest technology for its own sake.

His vision of the CTO role shifting from 70% operations to a 50/50 strategic mandate underscores why peer-level dialogue is becoming indispensable. Technology leaders navigating the transition from generative to agentic AI need more than internal models—they need external validation from peers facing the same inflexion points.

At The Ortus Club, we host curated executive roundtables that bring together senior technology leaders to move beyond the hype and discuss the ground truth of AI adoption, trust-driven transformation, and the evolving mandate of the modern CTO. Step into the conversations that shape how the industry’s most effective leaders make decisions.

Frequently Asked Questions

Q: What is trust-driven transformation?

A: Trust-driven transformation is the principle that sustainable organisational change begins with alignment and incremental delivery, not bold claims. Leaders build trust by committing to small outcomes, delivering on them, and expanding their influence through demonstrated credibility—before pursuing large-scale transformation.

Q: Why do most AI pilots fail?

A: According to industry reports, approximately 95% of AI pilots fail because organisations implement AI without defining a clear business outcome. Successful adoption requires identifying whether the goal is reducing operational overhead, increasing employee productivity, or gaining a competitive reputation—before any technology is deployed.

Q: How is the CTO role changing?

A: The CTO and CIO role is shifting from a traditional 70/30 split between operations and innovation towards a 50/50 strategic mandate. Technology leaders are increasingly expected to sit at the board table and drive organisational strategy, not simply maintain existing systems.

Q: What is agentic AI, and how does it differ from generative AI?

A: Generative AI creates content such as summaries, agendas, and ideas based on prompts. Agentic AI goes further by orchestrating multi-step business operations autonomously—reading a customer complaint, querying an ERP system, updating a CRM, and notifying the customer—with or without human oversight.

Q: What leadership skills will future technology leaders need most?

A: Beyond technical expertise, future technology leaders will need strong relationship-building and stakeholder management capabilities. As the role earns a seat at the board table, the ability to build trust with other leaders and drive strategic priorities through influence will matter more than deep technical specialisation.