Agent-Ready Architecture: Giving AI the Context it Needs

The promise of AI agents is quickly turning into a reality check for many organizations, with almost 90% of AI pilots failing to reach production. Many AI projects are faltering due to escalating costs and unclear business value. The root cause is often not the AI models; it's the architecture underneath. Join us for this episode of DM Radio to learn what it takes to build agent-ready systems. Shawhin Mosadeghzad and Jeff Hainsworth of insightsoftware will explain the three pillars of agent-ready architecture: context, governance and reliability. They'll further demonstrate how semantic intelligence transforms raw data into actionable context. Attendees will learn: • Why traditional data architectures fail AI agents in production • How a zero-movement architecture keeps data secure and agents performant; • Real-world patterns for deploying production-ready AI systems; • How to architect systems that give AI the governed, context-rich data they need.