Learn how technology leaders align modernization approaches with business opportunities. Strategic frameworks for ROI-focused legacy system updates.

We all know that AI's potential is enormous, yet the way to win with AI is to embrace customization and deep integration. It is for this reason that I believe (and I’ve been running tech services companies for 25 years) that the entire software services industry is about to change for the foreseeable future.

In the rapidly evolving landscape of AI, protocols like Google's Agent-to-Agent (A2A) and Anthropic's Model Context Protocol (MCP) are emerging as key enablers for building sophisticated AI systems. Understanding the differences between these protocols is crucial for making informed decisions about which one best suits your project's needs. This post will break down the core distinctions between A2A and MCP to help you choose the right tool for the job.