Technical Debt Management in the Age of AI

Learn about the financial cost of technical debt across a portfolio, why it is compounding faster with AI, how architectural debt differs from code-level debt, and how to start managing technical debt effectively.

📆 Date | May 29, 2026

⏰ Time | 3:00 PM CEST

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AI-assisted development accelerates software delivery. It also accelerates technical debt. In large organizations, technical debt shows up across interdependent systems competing for the same IT budget.

Technical debt is an umbrella term, and there are many types. Independent analysis points to architectural debt as the fastest-growing form; the accumulated cost of structural compromises in how your software systems are designed and connected.

Managing it requires system-wide context: which components depend on each other, where changes cascade, and what the business impact is. That context is precisely what AI lacks.

In this fireside chat, Jasper Geurts, CTO of Software Improvement Group (SIG), and Luc Brandts, CEO of Software Improvement Group, discuss what technical debt management requires, what most organizations are missing, and how to stay in control as AI makes software portfolios grow faster than ever before.

Join us and learn:

  • The financial cost of technical debt across a portfolio
  • Why technical debt is compounding faster with AI
  • How architectural debt is categorically different from code-level debt
  • How to start managing technical debt

Meet your speakers

Learn from experts

Luc Brandts
CEO of Software Improvement Group
Jasper Geurts
Host & CTO of Software Improvement Group

We are Software Improvement Group

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.

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