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Engineer the best possible technical foundation to build on.
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Solve your most complex business challenges fast.
Our impact.
Premium digital engineering makes a difference—higher quality solutions faster. See our impact in numbers.
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
Success stories.
Explore how these clients transformed their business.
Point of View
Firsthand perspectives on leadership, strategy, and the decisions shaping what comes next — straight from our executive leadership.
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
When Intelligence “Fails” Us: The Missing Context for Enterprise AI
Sanja Bogdanović Dinić, Head of Data and AI Strategy, explores why enterprise AI so often delivers technical success but falls short of real business value. The core issue, she argues, is not the technology itself but the incomplete version of reality it operates on — built from documents and structured data, while the experiential knowledge that actually drives decisions remains invisible to any system. The organizations that bridge this gap are those that treat institutional knowledge as a first-class asset, remain honest about what can and cannot be captured, and make principled choices about where machines should act and where humans must remain.
Sanja Bogdanović Dinić
Head of Data and AI Strategy
Enterprise Software – Existential Risk & Opportunity
HTEC’s Chief Strategy Officer, Lawrence Whittle, reflects on the evolution of enterprise software—from on-premise client-server systems to SaaS and AI-driven innovation. As challenges in legacy delivery models and valuations emerge, engineering excellence, fast SDLC cycles, and an IP-aligned approach, combined with deep experience in ML and AI, are what can make or break the next generation of enterprise and SaaS solutions.
Lawrence Whittle
Chief Strategy
Officer
From Conviction to Compounding Value
HTEC’s Chief AI Transformation Officer, Ronny Fehling, argues that private equity often struggles not for ideas but for turning conviction into production-grade AI value that moves EBITDA and compounds over the hold period. True value emerges only when initiatives survive execution reality, reach production, and continuously deliver—beyond pilots or demos. With disciplined economic lenses and outcome-focused decisioning, AI becomes an enduring driver of value rather than just noise.
Ronny Fehling
Chief AI Transformation
Officer
The Risk of Ignoring Workforce AI Literacy
HTEC’s Chief Marketing Officer, Alex Rumble, argues that organizations risk falling behind when workforce AI literacy is treated as optional rather than foundational. The real challenge isn’t access to AI tools, but building the capabilities and cultural alignment required to translate experimentation into measurable business impact. True value emerges when employees at every level understand how to apply AI responsibly and effectively in their roles. With structured upskilling and leadership commitment, AI becomes a scalable advantage—not isolated innovation or stalled potential.
Alex Rumble
Chief Marketing
Officer
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