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82% ROI
on digital engineering over a three-year engagement1
$3.6M net
present value
Return-on-Engineering2
60% faster onboarding
of technical teams (vs. industry average)3
10x decrease
in security-critical coding issues4
Point of View
Firsthand perspectives on leadership, strategy, and the decisions shaping what comes next — straight from our executive leadership.
Thae Economics of the Sovereign AI stack
Every executive weighing a sovereign AI strategy runs into the same tension: independence sounds appealing until you price it out. GPU pricing and benchmark scores make for a compelling slide, yet total cost of ownership is what actually decides who wins. The organizations getting this right aren’t chasing sovereignty as a principle. They’re mapping their workloads and deciding case by case what to own, rent, or leave to the public ecosystem.

Bojan Sukalo
Industry Managing
Partner, Telecom
The AI-Enabled Operating Model
Most large enterprises have an AI strategy, but very few have changed how the business runs. The default move is to bolt AI onto the existing operating model: hire a Chief AI Officer, stand up a function, run some pilots. But if the work still flows through the same approval chains and budget cycles designed for a pre-AI world, the result is friction.
Ronny Fehling, HTEC’s Chief AI Officer, argues that becoming genuinely AI-enabled requires redesigning the operating model itself — shifting decision rights closer to the work, funding AI as a portfolio of small bets rather than projects, and distributing AI capability throughout the organization.

Ronny Fehling
Chief AI Transformation
Officer
The Software Gap Holding AI Back: What Semiconductor Leaders Can Learn From the EV Transition
Craig Melrose, HTEC’s Global Managing Partner, Advanced Technologies, draws on the lessons of the EV transition to argue that semiconductor companies are falling into a familiar trap: building powerful AI hardware while underinvesting in the software infrastructure needed to deploy it at scale. Without vertically integrated software stacks and a clear focus on high-value use cases, even the most advanced silicon risks stalling at the edge of mainstream adoption.

Craig Melrose
Global Managing Partner
Where to Bet: How PE Firms Should Allocate AI Investment Across the Portfolio
Most private equity firms know AI creates value — the harder question is where to allocate it, in which portfolio company, and in what sequence. This framework helps PE firms make disciplined AI investment decisions that drive measurable operating leverage before exit.

Dejan Pokrajac
Global Head of Private
Equity Partnerships
Make AI Real: Why the AI Race Has Moved from Models to Production
Speed‑to‑value used to mean a fast pilot. In the AI era, it means a fast, scalable path to production — with adoption and trust built in. Alex Rumble, HTEC’s Chief Marketing Officer, shares her point of view on why repeatable AI-driven operating models are becoming essential to making AI real at scale.

Alex Rumble
Chief Marketing
Officer
How AI-enabled Due Diligence Builds the Conviction That Protects PE Returns
Alex Dukic, Chief Digital Officer at HTEC, examines why private equity firms that treat technical due diligence as an afterthought consistently leave value on the table. The real gap, he argues, is not in financial or commercial scrutiny but in the depth of technology evaluation — where AI readiness, architecture quality, and true modernization costs remain opaque until it’s too late to affect the price. The firms that close this gap are those that bring AI-powered technical diligence into the deal process early, treat it with the same rigor as any other workstream, and use what they find to underwrite value creation from day one.

Alex Dukic
Chief Digital Officer
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