From classical to jazz: The new sound of enterprise systems in the AI era
Why enterprise architecture needs both deterministic control and AI-driven adaptability, and how to know which to use where.
Architecting for Uncertainty: Navigating AI’s Shifting Landscape
Why enterprise architects must design for constant AI-driven change, not just manage it.
The Elusive AI-Native Enterprise: How Much Ambition Do You Really Have?
A strategic framework defining your AI ambition across adoption, autonomy, agency, and process coverage.
The Eyes of the Autonomous Enterprise: how Applied Observability fuels AI
From fragmented signals to confident decisions in an AI-driven future.
The S in “AI Agent” Stands for Security
AI agents now act autonomously across systems, demanding a fundamentally new security mindset.
Move over REST, gRPC, and GraphQL
How MCP, A2A, and ACP turn APIs from data pipes into capabilities agents can discover, coordinate, and act on.
From Pipes to Partners: API Maturity in the agentic era
The seven stages of API maturity in the agentic era, and where MCP and A2A fit.
AI Doesn’t Like Your API. How to Fix It
How to design APIs that AI agents can trust, by exposing intent and meaning, not just endpoints.
What your data department isn’t telling you... but your integration architect will
Central data governance can’t scale for AI. Real semantic interoperability sits at the edge.
A(P)I Today and Tomorrow
APIs and AI together: today’s team-up, tomorrow’s game-changer
