Paul Turner
VP of Product Marketing and Market Strategy
10 posts
NewsEvery project is an AI project now. Your SDLC needs rethinking.AI creates complex projects: integrations, APIs, MCP servers, and agents, all interdependent. Your SDLC needs to embrace all of it.
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.
NewsFlying blind: Why MCP needs its API management momentEvery enterprise learned the hard way that unmonitored APIs become unmanageable ones. AI agents calling MCP tools are about to teach us the same lesson — and we're running out of time to get ahead of it.
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.
Agent development and automationDefusing the MCP ticking time bombOver 40% of enterprise MCP deployments will face cybersecurity incidents by 2027, according to Gartner. The risk is already building. Here's what IT teams need to know now.
NewsThe hand-built iPaaS connector is dead. Vibe-code with Claude instead.Tray CDK now supports Claude Code, so you can build connectors by describing them instead of coding them from scratch. Here's what that means for integration teams still stuck in consultant queues and vendor backlogs.
Architecture and integrationAI is exposing the limits of legacy data pipelinesAI agents are exposing the limits of legacy ETL and data pipelines. Learn why scaling AI requires unifying data transformation and orchestration.
Agent development and automation10 Tips to fast-track your GenAI projects with AI-ready iPaaSLearn 10 practical tips to accelerate GenAI deployment. Overcome integration, data, and scalability challenges to move generative AI from prototype to production.
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