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Darko Todorovic, CTO at HTEC, emphasizes that scaling Level 4 autonomous logistics requires industrial-grade embedded engineering and OEM integration, not just AI advances. To address this, HTEC partnered with Embotech to scale certified autonomous driving technology—already powering over 2,500 daily vehicles across industrial sites—into real-world operations.

Darko Todorovic, CTO at HTEC, highlights that measuring enterprise AI ROI in software development led to the launch of OneLoopAi. Integrated with tools like Jira, GitHub, and GitLab, the platform connects AI usage to real-time engineering outcomes, enabling organizations to track delivery impact rather than just AI consumption.

HTEC, the global AI-first engineering and digital product development company, announced a strategic partnership with Xsolis, an AI-driven technology company that reduces administrative waste by enabling collaboration between healthcare providers and payers.

HTEC, a global AI-first engineering and digital product development company, and Motion Applied are expanding their collaboration following a successful track record in developing advanced solutions across multiple industries.

Lawrence Whittle, Chief Strategy Officer at HTEC, explains that achieving success requires setting ambitious goals, rethinking processes, and scaling AI through comprehensive enterprise roadmaps, with AI integrated as a central operational strategy rather than as isolated initiatives.

Lawrence Whittle, Chief Strategy Officer at HTEC, highlights that while AI is moving from experimentation to organisational integration, many businesses still struggle with cultural, operational and governance barriers. He emphasises that scaling AI successfully requires embedding it into core business strategy rather than treating it as a series of isolated initiatives.

Lawrence Whittle, Chief Strategy Officer at HTEC, says that as AI moves from experimentation to organisational integration, the real challenge lies in embedding it into everyday workflows and decision-making. He highlights that overcoming cultural, operational and governance barriers is essential to turning AI from isolated initiatives into a true driver of business transformation.

Despite nearly all C-suite leaders having deployed AI technologies, a recent survey shows many organisations still struggle to embed and scale AI across multiple functions due to integration challenges, skills shortages and prioritisation issues.

Despite widespread AI adoption, 75% of enterprises struggle to scale beyond pilots, hindered by data, talent and integration barriers. Why turning early AI wins into enterprise‑wide impact remains elusive and what organisations must do to bridge the gap between experimentation and operational value?

Despite strong C‑suite commitment to AI, most organisations still struggle to scale use cases beyond pilots because of data silos, governance gaps and talent shortfalls. See why executive sponsorship alone isn’t enough and what leaders must prioritise to turn AI adoption into measurable business value.

Only 25 % of businesses have scaled AI beyond pilot projects, even though adoption is widespread, the article finds. Organisations are struggling with integration, data quality and skills gaps that block broader deployment. Why AI still remains stuck in experimentation and what leaders can do to unlock enterprise‑wide impact?