Solutions / Use case
Agents stall when the model is fine but the plumbing isn't. Tray.ai connects agents to your stack and governs what they do.
Most enterprises have an AI lab full of demos. Few have an agent that’s closing tickets on Monday morning. The gap is never the model — it’s connecting to your tools, governing what the agent can do, logging what it did, routing edge cases to humans. That’s the work Tray.ai is built around.
Merlin Agent Builder — no-code agents that compose knowledge, tools, and reasoning to take real actions in real systems.
Every tool call logged. Per-user RBAC. Approval gates on sensitive actions. PII protection built in.
Agent Gateway lets agents call 700+ connectors as governed MCP tools — Salesforce, NetSuite, Workday, Snowflake, GitHub.
Master agent routes to sub-agents per department — the pattern Life360 uses across 88M monthly active users.
2,500+ Slack channels under agent orchestration
“The moment it clicked was when I saw an agent run end-to-end and open a pull request in the repo. It showed me we could actually close the loop on issues, and that's real value.”
Customer stories tagged to this use case.
IT / Business Tech
Apollo's IT team was overwhelmed by tickets that scaled linearly with headcount. Existing AI vendors offered rigid, prebuilt agents — Apollo…
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IT / Business Tech
Zuora runs 200+ SaaS applications across the enterprise. As AI capabilities surfaced across those systems — each with its own interface, ass…
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IT / Business Tech
MCP adoption spread rapidly across J.W. Pepper without centralized governance. Teams were building AI agents faster than IT could establish …
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IT / Business Tech
Life360 runs a consumer platform with 88 million monthly active users and a growing internal team. Early attempts at single-purpose bots lef…
Read the story →IT service desk agents, employee onboarding agents, customer 360 lookup agents, lead-routing agents, knowledge agents — anything where the LLM needs to read from and act in real systems. Apollo runs an IT Agent that closed September 2025 as their
Tray gives you the parts an in-house build skips — guardrails, audit trails, RBAC, governance over MCP tools, and 700+ pre-built connectors that the agent can use as tools. The model is your choice; the platform is what makes the agent shippable.
You don't have to be. Most production agents on Tray run with human-in-the-loop approval gates on sensitive actions — the same workflow runs the routine 80% autonomously and asks for a human nod on the rest.
Most teams ship a first agent inside a week. Wavo deployed 30+ AI-powered processes in under 12 months without an in-house AI engineering team.
Walk through the scenario with a Tray.ai expert.
