
95% of enterprise AI pilots fail—not because AI is hard, but because teams skip the architecture decisions that make agents scalable, governable, and production-ready.
Rich Waldron

Learn why Gartner’s AI agent sweet spot is the key to achieving real automation results without overshooting or under-delivering.
Adam White

Tray.ai CEO Rich Waldron and analyst Hyoun Park discuss what happens after the first AI agent—how to prevent agent sprawl, set clear ownership, and build the governance needed to scale AI agents successfully across the enterprise.
Rich Waldron

Explore five proven approaches to building LLM agents—wrappers, conversational platforms, automation tools, developer frameworks, and unified platforms—and learn when each is best for your business needs.
Michael Douglas

Many AI strategies fail before they start. Not because of the model, but because of outdated integration. See how Yext made integration their AI infrastructure and transformed how work gets done.
Adam White

AI agents are everywhere, but without orchestration, they create chaos, not value. Learn why IT leaders are turning to unified platforms to govern, scale, and deliver agents across the enterprise.
Rich Waldron

Discover the four key blockers preventing AI agent adoption in enterprises and how to overcome them. Learn why memory, knowledge access, model fit, and UX are holding teams back, and how to build agents people actually use.
Alistair Russell

Most teams can build their first AI agent—but scaling to five or more without a plan leads to chaos. Learn how enterprise teams avoid agent sprawl with centralized delivery, governance, and shared infrastructure.
Rich Waldron

Discover what it really takes to succeed in the AI-native era—from governance and infrastructure to cross-functional teams. Learn why enterprise AI demands more than just models.
Rich Waldron