Blog / Executive perspectives
Where the AI-native enterprise is going — and how to get there.
Executive perspectivesThree things stop your app from shippingAI-built apps stall on credentials, hosting, and access control. Here is what it takes to get past them.
Executive perspectivesThe biggest MCP upgrade yet makes MCP harder to depend onThe new spec is a real step up for MCP. It also deepens the split across the thousands of servers already in use, so what you can rely on barely improves.
Executive perspectivesFable 5 is back, shining a light on a much bigger problemThe Fable 5 shutdown showed how fast a core AI model can vanish. AI orchestration keeps models swappable and governed, so availability isn't someone else's call.
Executive perspectivesiPaaS migration has always been a time and cost problem. It just got 95% faster.Legacy platforms, fragmented stacks, tools not built for AI orchestration — the case for staying on the wrong integration platform is weakening. And the cost of migrating just dropped dramatically.
Executive perspectivesGartner® Just Defined a New AI Category. Here's Where Tray.ai Stands.Gartner has published its inaugural Emerging Market Quadrant for No-Code Agent Builders — a brand new analyst category. Tray.ai is named a Pioneer. Here's what that means for enterprise AI in 2026.
Executive perspectivesBack from Gartner App Summit. Here's your MCP checklist.Two things defined Gartner App Summit this year: MCP governance and the arrival of enterprise iPaaS in the AI IDE. Here's the four-item MCP checklist — and what else we announced.
Executive perspectives6 takeaways from SaaSpocalypse Now: what NYC said that SF didn'tThe SF panel centered on governance, sprawl, and the path to production. The NYC conversation moved further forward — which vendors survive the agent era, what makes a tool worth keeping, and what it means that software now has two users.
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.
Executive perspectivesSeven takeaways from SaaSpocalypse NowWe hosted enterprise IT and business technology leaders in San Francisco for an honest conversation about what the SaaS apocalypse actually looks like from the inside. Here are seven things that came out of the room.
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 perspectivesWhat AI will really change at work in 2026AI will change work in 2026, but not the way most teams expect. Learn how agents, orchestration, and governance reshape specific roles across the enterprise.
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 perspectivesThe four blockers to AI agent adoption (and how to fix them)AI agent adoption is harder than building agents. Learn the four biggest challenges preventing enterprise AI agent adoption and how to fix them.
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 perspectivesHow to build AI agents that actually work (not just chat)Most AI agents stop at chat—but real automation means reasoning, acting, and learning. Learn how to build AI agents that actually get work done, like an IT support agent that slashed tickets by 75%. See the demo and key steps to move beyond chat.
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 perspectivesTop 5 must-haves to successfully build and deploy AI agentsAI agents will transform how businesses operate—but not all platforms are built to deliver. Discover your organization's five must-have capabilities to build scalable, high-value AI agents quickly, flexibly, and safely.
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 perspectivesTray named a Visionary in the 2024 Gartner® Magic Quadrant™ for iPaaSIn the 2024 Gartner Magic Quadrant for iPaaS, Gartner highlighted Tray’s Market Responsiveness and Innovation.
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.
Executive perspectivesFrom IT decentralization to end-user innovationBusinesses that empower teams to learn new technical skills drive efficiencies and flip from being cost driven to being value driven.
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