Rich Waldron
Co-founder and CEO
17 posts
Executive perspectives5 hard truths from the first-ever Agentic AI Hype CycleGartner just published its first-ever Hype Cycle for Agentic AI. Here are five findings every enterprise leader should read before making AI infrastructure decisions in 2026.
NewsMost enterprises are one iPaaS decision away from an AI bottleneck.Tray.ai is named a Nucleus Research iPaaS Leader for the seventh year. Here's why the criteria for evaluating integration platforms have changed — and what it means for enterprises building AI at scale.
Executive perspectivesThe last Magic Quadrant: iPaaS has entered its AI reckoningAI orchestration is transforming the iPaaS market. Learn what the latest Gartner Magic Quadrant reveals about the future of integration platforms and enterprise AI infrastructure.
Executive perspectivesHow to think about measuring agent performanceLearn how to measure AI agent performance with a practical framework covering accuracy, tool usage, business impact, deflection rates, ACCT, AVM, and more. See how leading teams evaluate agents with confidence and scale.
Executive perspectivesAI architecture is why most AI agent projects fail95% of enterprise AI pilots fail because teams skip foundational AI architecture decisions. Learn how the right architecture helps AI agents scale.
Executive perspectivesHow to scale AI agents after the first oneHow to scale AI agents after the first one? Learn how enterprises prevent agent sprawl, establish ownership, and build governance for successful AI agent adoption.
Executive perspectivesWhy AI agent orchestration is key to enterprise AIAI agents are everywhere, but without AI orchestration they create chaos. Learn why enterprises need unified platforms to govern and scale AI agents.
Executive perspectivesAI agent management: Why your first agent is easy and your fifth one breaks everythingAI agent management becomes critical as organizations scale beyond their first AI agent. Learn how enterprise teams avoid agent sprawl.
Executive perspectivesWhat it really takes to build for the AI-native eraDiscover 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.
Executive perspectivesAI agent sprawl: How to stay in control as teams build more AI agentsAI agent sprawl is the next SaaS sprawl. As every team rushes to build AI agents, IT risks losing control. Learn how to stay ahead with the right orchestration, governance, and infrastructure.
Executive perspectivesFour paths to AI agents (and the one that scales)Learn how to build AI agents that scale across the enterprise. Compare prebuilt agents, DIY builds, domain tools, and AI orchestration platforms.
Executive perspectivesAI orchestration for CIOs who don’t want to be AI refereesAI orchestration for CIOs helps unify disconnected AI systems, restore governance, and prevent CIOs from becoming referees between competing enterprise AI tools.
Executive perspectivesSetting the right pace for AI: Insight from Gartner IT SymposiumTray.ai CEO Rich Waldron shares strategic insights from the Gartner IT Symposium on pacing AI adaption, balancing innovation and driving business results.
Executive perspectivesiPaaS in an AI-driven worldA modern AI-enabled iPaaS solution that supports collaborative workflow design and management can break down silos between IT and business teams and propel automation initiatives forward.
Executive perspectivesThe next tech stack challenge: Combatting AI misalignmentAI misalignment is emerging as a major challenge for enterprises adopting AI across SaaS tools. Learn how to align AI systems, governance, and workflows.
Executive perspectivesAt the forefront of a tectonic shift in automationGartner® Names Tray.ai as a Sole Challenger in the 2023 iPaaS Magic Quadrant™. Learn why we're at the forefront of a tectonic shift in automation.
Executive perspectivesAutomation maturity: Your company’s secret weaponLearn how organizations build a sustained competitive advantage with automation maturity.
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