Analyzing and Controlling Architectural Debt with AI

In this technically rich and forward-looking session from the Artificial Unintelligence Conference 2025, Nadzeya Stalbouskaya (Technology Architect, IAG Transform) explores how organizations can use AI-driven agents to identify, manage, and reduce architectural debt — the hidden inefficiencies that slow innovation and system scalability.

Nadzeya distinguishes between technical and architectural debt, showing how the latter emerges not from code, but from years of interconnected systems, dependencies, and design drift. She demonstrates how AI agents can act as “digital auditors,” continuously scanning for fragility, redundancy, and misalignment across enterprise ecosystems.

By combining automation with human oversight, organizations can achieve continuous architectural fitness — modernizing legacy systems without costly rebuilds or disruption.

Key themes include:

The difference between technical and architectural debt

How AI agents improve observability and system visibility

Using automation to identify inefficiencies before they scale

The role of human architects in AI-assisted modernization

Building continuously adaptive, debt-resilient architectures