Daniel Kirichanski on Technology Leadership & Cloud Strategy | Prime Path Global
Daniel Kirichanski — Founder, Prime Path Global
Daniel Kirichanski is the Founder of Prime Path Global, a hands-on technology leadership consultancy serving founders, CEOs, and engineering executives at growth-stage companies. Drawing on more than two decades of experience — including senior roles at Microsoft, PayPal, Ripple, and Tricentis — his central argument is refreshingly direct: most technology problems are, at their core, leadership and organisational problems. Add more engineers or switch cloud providers without first achieving leadership alignment, and you are likely to amplify the underlying dysfunction rather than resolve it.
After twenty-plus years working at the intersection of technology, people, and business, Daniel has arrived at a clear answer: the strongest engineering organisations are built around clarity, ownership, strong leadership, and alignment with business goals. Great technology matters, but the organisation around it matters even more.
His framework is deliberately business-first. Successful teams work, he argues, when everyone understands what the business is trying to achieve, how engineering contributes to those goals, and — critically — who owns the outcomes. Without that clarity, even exceptional engineers will pull in different directions.
Rapid growth regularly surfaces a familiar cluster of symptoms: unclear priorities, fragmented ownership, slowing delivery, reliability issues, and frustrated teams. The instinctive response — hiring more engineers, adopting another platform, or migrating to a different cloud — can deepen the problem if the underlying direction is still unclear.
"Companies often try to solve problems by adding more engineers, tools, or platforms," Daniel notes. "But if priorities are unclear, ownership is fragmented, or engineering is disconnected from the business strategy, adding more resources can actually amplify the problem."
His prescription is sequencing: technology transformation starts with leadership alignment first, and technology decisions follow from there.
Cloud spend is a topic where Daniel pushes back firmly against the cost-cutting reflex. In his view, rising cloud bills are a symptom of broader architectural and organisational decisions rather than a standalone problem to slash.
His diagnostic approach starts with understanding what drives consumption across products, customers, environments, architecture, and organisational behaviour. Inefficiencies can accumulate in over-provisioning, unused environments, inefficient data architecture, storage practices, data transfer patterns, or legacy decisions that no longer fit the company's current scale.
Daniel is explicit that reducing cloud costs by damaging reliability or engineering velocity is not meaningful optimisation. The real goal is improving unit economics — and building the transparency that helps leaders understand the economics of the systems they are building so they can make better decisions moving forward.
"The objective isn't simply to cut costs," he explains. "It is to improve unit economics without sacrificing reliability, scalability, or engineering velocity."
On artificial intelligence, Daniel takes an intentionally contrarian stance against technology-first adoption. He recommends that companies resist starting with the question "Where can we use AI?" and instead begin with "Where is the business constrained?"
The diagnostic questions he recommends: Where are customers waiting? Where do decisions lack sufficient information? Where are people spending excessive time on repetitive cognitive work? Where is cognitive load increasing?
Only after identifying a genuine constraint should companies determine whether AI is the appropriate solution. "The companies that create the most value from AI will be the ones that redesign meaningful parts of their business around it," he says, "rather than simply adopting AI because it is fashionable."
By design, Prime Path Global is a hands-on engagement rather than a traditional advisory relationship. Daniel works directly alongside founders, CEOs, and engineering leaders — not alongside a project team that delivers a document and departs.
The process begins with diagnosis and alignment: understanding where the company wants to go and identifying the technology and organisational barriers standing in the way. That diagnostic phase then narrows what can feel like a vast list of challenges into a smaller, executable set of priorities. "The goal is not simply to provide advice," Daniel emphasises, "but to leave the organisation stronger, more capable, and better positioned to scale."
The through-line of Daniel's approach is deceptively simple — before adding more technology, people, platforms, or AI, companies need clarity on where they are going, what is holding them back, and who owns the outcome. Technology then becomes a means of addressing a defined constraint rather than the starting point of the transformation. Prime Path Global has been helping leadership teams identify those barriers and work alongside them to execute the necessary changes.
To learn more, check out Prime Path Global at https://www.primepath.global.
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