A2A
3 stories filed under A2A on Beyond Market Intelligence. The newest of them: “Navigating the New Architecture of AI Agents with Context and Control”, “Scale AI Workflows: Modernizing APIs with Architecture as Code”, and “Building the missing backbone for enterprise AI agent trust and coordination”. Agentic AI architecture isn't just another layer on top of microservices, it introduces context, memory, and new protocols like MCP and A2A. Morgan Stanley is using Architecture as Code with CALM to modernize its API program, and the approach is worth your attention. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every A2A story on Beyond Market Intelligence, newest first.
Navigating the New Architecture of AI Agents with Context and Control
Agentic AI architecture isn't just another layer on top of microservices, it introduces context, memory, and new protocols like MCP and A2A. This demands bounded-context thinking and task-dependent coordination, not a wholesale rewrite. Security risks and observability needs shift accordingly. Expect gradual adoption, with platforms absorbing the common components. For a deeper look at how infrastructure handles scale, see our coverage of how Cloudflare redesigned D1 to manage millions of databases.
Scale AI Workflows: Modernizing APIs with Architecture as Code
Morgan Stanley is using Architecture as Code with CALM to modernize its API program, and the approach is worth your attention. Jim Gough and Andreea Niculcea show how integrating Model Context Protocol and Agent-to-Agent communications, paired with automated governance through deployment gates, makes scaling enterprise AI feel deliberate rather than chaotic. The zero-downtime upgrades are a practical win. If you are exploring how AI reshapes infrastructure, this pairs well with our piece on real-world computer vision deployments.
Building the missing backbone for enterprise AI agent trust and coordination
Enterprise AI agents are hitting a wall: they can't talk to each other, can't be trusted with permissions, and can't be audited. Five startups are already closing that gap, and their timing is sharp. The infrastructure for orchestration, observability, connectivity, and security is the real bottleneck, not the agents themselves. BAND coordinates multi-agent workflows, while Conifers speeds up cyber defense. Raindrop AI logs agent actions, and Arcade handles authorization. Omilia tackles customer experience. This is where the work gets practical, and necessary.