Four risks in AI-written code, and where manufacturing IT should focus in 2027
Werner Heijstek, Chief Delivery Officer (CDO) at Software Improvement Group will discuss four key questions for manufacturing IT leaders to put in the 2027 plan.
Date | November 17, 2026
Time | 11:00 AM CEST
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AI is already writing 3.1% of the manufacturing production code, against 1.9% globally. Agents are next.
Yet 90.3% of that code is hard to change. AI compounds whatever discipline you already have: where quality is managed, it speeds up delivery, and where it isn’t, it speeds up the debt just as fast.
This webinar draws on SIG’s benchmark of more than 40,000 systems and 600 billion lines of code to show four risks and where IT leaders should focus in 2027.
➡️ You can’t see what AI wrote. AI-written code carried twice the security violations, and since 11 September 2026 the EU Cyber Resilience Act requires manufacturers to report actively exploited vulnerabilities within 24 hours.
➡️ Hard-to-change code eats your capacity. Moving one system up in quality can free up about 5.8 developers, roughly €870,000 a year.
➡️ Debt is on the list, not in the plan. 54% of manufacturing infrastructure and operations leaders name technical debt their top challenge, yet only 7% of those with modernization plans rank reducing it in their top three reasons (Gartner).
➡️ Agents without a human check score 1.1 out of 5 for maintainability. Agents working alone scored 1.1 and 1.9 out of 5 for maintainability in SIG’s study, against 3.1 with a human in the loop. A check inside the build loop cut high-risk findings by about 97%.
1️⃣ How much AI-written code is already running in manufacturing;
2️⃣ What hard-to-change code costs, and why AI doesn’t make it go away;
3️⃣ How to rank which systems to modernize first;
4️⃣ What changes when agents work with a human in the loop and a check in the build loop;
5️⃣ Four questions for your 2027 plan.
IT leaders at industrial, high-tech and manufacturing companies, such as CIOs, CTOs, and engineering and modernization leaders.
Meet your speakers
Govern the software your business runs on.
Software Improvement Group (SIG) enables organizations to embrace AI with strategic control and to become more agile & resilient through secure, high-quality software.
Sigrid® – its continuous software portfolio governance platform – leverages the world’s largest software metric database containing over 400 billion lines of code across more than 20,000 systems and 300+ technologies, and intelligently recommends the most crucial initiatives for organizations.
SIG complies with multiple ISO/IEC standards, including ISO/IEC 27001 and 17025, and has co-developed ISO/IEC 5338, the new global standard for AI lifecycle management.
SIG was founded in 2000 and has offices in New York, Copenhagen, Brussels, and Frankfurt, and is headquartered in Amsterdam. Sigrid®, together with expert software engineering consultants, and over 25 years of industry-leading research, positions SIG as the foremost authority on continuous software portfolio governance.
