Article
Alin Iacob on the AI transition: moving from faster tools to better structures
Business insights, Innovation and development, AI
February 26, 2026

Article
Alin Iacob on the AI transition: moving from faster tools to better structures
Article
Alin Iacob on the AI transition: moving from faster tools to better structures
Business insights, Innovation and development, AI
February 26, 2026
Article
Alin Iacob on the AI transition: moving from faster tools to better structures

26/2/2026
min read
Business insights, Innovation and development, AI
Raising the bar for human judgment
“The mistake is thinking incrementally in the face of a big structural shift,” Iacob explains. “The deeper transformation is about how your entire engineering process changes when execution is delegated to AI.”
By automating the technical execution, Iacob believes we are actually raising the bar for human judgment. The role of the engineer is shifting away from being a mere builder and toward being a product thinker and a curator of value.
“It changes how teams are structured, how quickly an idea moves to production,” Iacob continues. “A single team can now handle multiple value streams that used to require entire departments.”
Meet Alin Iacob
He’s the Head of AI Engineering and Technology at Visma, operating at the intersection of engineering and strategy, helping Visma’s companies make better technology bets.
He leads a team dedicated to driving the AI-native transformation in Engineering across Visma – identifying impactful industry developments, vetting AI tooling and upskilling thousands of engineers.
“My mission is to create leverage at the centre of the group,” Iacob says. “It's about helping founders and leaders move beyond incremental gains to achieve structural transformations in how they build software.”
Learning hard lessons alone
A standalone software company often has to experiment and fail alone. Within Visma, successful patterns emerge faster.
“A standalone company learns from a sample size of one,” says Iacob. “We see impact data across hundreds of teams. That allows us to validate what works, discard what doesn’t, and shorten the path from experiment to scalable practice.”
Becoming 20x more efficient
Iacob recalls a recent engagement with a Visma company.
“We helped them unlock speeds up to 20 times faster than their current capabilities, within days,” Iacob says.
After the workshop, one participant’s feedback was: “Excellent event and really opened my eyes to how AI should really be used”.
The shift wasn’t effort. It was leverage.
“We’re scaling this capability across Visma,” Iacob says, “teaching teams how to fully leverage AI.”
The box is always bigger
Iacob’s best advice for founders and leaders?
“When AI changes the economics of software, learning faster than the market is a structural advantage. Tap into the shared knowledge, validated experiments and collective learning at scale,” he says. “The box is always bigger than you think it is.”
Structural change is uncomfortable at first. As execution becomes commoditized, advantage shifts upstream: to those who solve the right problems and make high-quality trade-offs under uncertainty.
“The goal isn’t to remove humans from the loop,” Iacob says. “It’s to make human expertise count where it matters most.”
About the episode
AI,engineering,coding,Visma
Voice of Visma
Welcome to the Voice of Visma podcast, where we sit down with the business builders, entrepreneurs, and innovators across Visma, sharing their perspectives on how they scale companies, reshape industries, and create real customer value across markets.
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