tray.ai
@tray
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The fastest way to turn AI into business performance.
San Francisco & London
Joined April 2012
Managing RFPs doesn’t have to mean juggling emails and spreadsheets. Imagine an AI agent that runs the entire process for you from start to finish. See how an RFP agent manages intake, routes tasks, keeps everything on track, and never misses a deadline.
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Turning on copilots is not your AI strategy. It’s the easy button. Lots of teams feel behind on AI. So they switch on chat tools and move on. But real adoption starts after that. Watch the full convo:
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Not every way to build AI agents scales. This playbook compares 4 deployment models:. Internal builds.Off-the-shelf agents.SaaS app agents.AI-ready iPaaS. See which one avoids silos—and actually scales:
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Real AI agents. Real work. On Sept 16, we're walking through 3 agents built with Tray:. → HR agent .→ Knowledge agent.→ Data agent. Not hypotheticals. Not prototypes. Working agents doing the job. Save your spot:
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Five ways to build LLM agents. Not all are created equal:. Wrappers → rapid prototypes.Conversational platforms → structured workflows.Automation tools → low-code action.Developer frameworks → full control.Unified platforms → secure scale.
tray.ai
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...
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Support tickets killing your team? See what a Tray ITSM agent could do—without the guesswork. Enter your ticket volume. Get your hours back. Get your report. Try our ITSM benefits calculator:
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Nick’s playing with a dog. He’s also explaining why you should finally build something real with AI. Check out one of our Build Your Own Agent workshops this month:. 🎯 Sept 10 – Virtual - 🛠️ Sept 25 – Boston -
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Who should own AI agents?. In this clip, Tray CEO Rich Waldron explains why scaling agents isn’t a solo job.
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AI agents need clean data. Secure APIs. Orchestration that actually works. Yext’s legacy integration couldn’t deliver. So they switched to Tray. 100+ integrations in 3 months.60% cost savings. This is what AI-ready actually looks like.
tray.ai
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.
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Chatbots talk. Agents act. Tray CTO Alistair Russell explains what separates a true agent from a smarter FAQ. 🔗
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What does real AI look like? Watch the clip. Then, join our next live agent session. No slides. No fluff. Just an agent running in Tray, doing actual work. 📅 Sep 10 | 9am PT. 🔗
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AI agent hype is high. Survivability is low. Most teams stall after agent #1. Architecture is why. Read the latest from Tray CEO Rich Waldron on the models that actually scale.
linkedin.com
A recent MIT report found that 95% of enterprise AI pilots fail. That stat is getting a ton of attention.
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Tray builders: this month’s Builder Bulletin shows you how many hours an ITSM Agent can save you—plus a shortcut you’ll actually use. — New ITSM impact calculator.— One-click JSON path copying.— Certified builders from July. 📩 Read + subscribe.
linkedin.com
Hi everyone, Julia here. This month’s Bulletin highlights two new ways to make building smoother: copy JSON paths in one click to map faster and check slot usage at a glance to keep solutions tidy.
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95% of enterprise AI projects fail. Not because AI doesn’t work. Because it’s pointed at the wrong problems. Gartner calls this the AI Agent “Sweet Spot.” It’s where agents actually deliver. Outside of it? Missed goals. Wasted spend. Risk. Learn more.
tray.ai
Learn why Gartner’s AI agent sweet spot is the key to achieving real automation results without overshooting or under-delivering.
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Building agents is easy. Getting people to use them is hard. Here’s what we’ve learned from real AI deployments across support, IT, and ops:. → Central hub > scattered bots.→ Actions > chat.→ Flexibility = scale
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Agentic AI is hitting a wall. Most platforms forget context, drop sessions, and make devs duct-tape memory and retrieval. In @Forbes, @ABridgwater and Tray CEO Rich Waldron break down what it actually takes to build agents people want to use:
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Your first AI agent isn’t the challenge. The challenge is what happens when you hit your second, third, tenth. In this clip, Tray CEO Rich Waldron breaks down why agents need continuous care—and what goes wrong when they don’t. 🧵 Full post →
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One-off agents don’t scale. Tray CEO Rich Waldron breaks down why most agents get siloed—and how to build them the right way. ✅ Real-time action.✅ Governance + guardrails.✅ Full-stack integration. This is Merlin Agent Builder.
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“AI is really good at being confidently wrong.”. In this clip, Nate Gemberling explains why flipping on AI across your SaaS stack leads to the same silos we saw in early SaaS. And why connected agents are the only way forward. 🎥 Full replay →
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