Solutions / Operations
Most ops teams have a backlog of "we should automate this." Tray.ai is what ops uses to ship it — without waiting for IT.
Every ops team has a backlog of “we should automate this” — invoices stuck in handoffs, reports someone regenerates every Monday, onboarding checklists living in a Google Doc. Tray.ai ships it without the engineering queue, under the governance the CIO needs.
Intelligent iPaaS ties CRM, ERP, ticketing, finance, comms — anything with an API. 700+ connectors means most of the plumbing is already there.
Add LLM steps anywhere — Merlin Agent Builder for classification, summarization, agent-driven decisions, with human-in-the-loop approval where it matters.
Per-user RBAC, approval gates, audit trails. The CIO says yes because the audit story is already in place.
Auctane processes 3B orders/year through Tray.ai. 700+ connectors. When your ops automation needs to hold up at scale, the platform has already been stress-tested.
Teams the operations role tracks for fit, scale, and proof.
Professional services
AVID Property Group's sales team faced challenges integrating multiple systems for data ingestion and processing, causing delays and ineffic …
Read the story →Logistics
Auctane — parent company to ShipStation, Stamps.com, ShipEngine, and more — was onboarding up to 30 users a month through a mix of manual da …
Read the story →The use cases this role pursues first on Tray.ai.
Manual work, automated.
Automate the manual work IT hasn't gotten to — across 700+ connectors, with audit trails baked in. Without waiting for engineering.
Ship production agents, not pilots.
Most AI projects stall in pilot. Tray.ai is the path to production agents — reasoning, acting, and audited across your real systems.
Onboarding in minutes, not days.
Hire, rehire, transfer, retire — the work that scales linearly with headcount. Tray.ai automates the cross-system handoffs (HR, IT, finance, payroll) so onboarding takes minutes, not days.
A mix. Business systems analysts, RevOps engineers, IT ops, and increasingly ops + product teams directly. Tray's no-code builder gets non-engineers a long way; for the bits that need code, custom code steps are available anywhere.
Done well, no — Tray.ai is built so ops teams ship under IT-approved governance rather than around it. Every workflow logged, every step traceable. RBAC and approval gates on sensitive operations. The pitch to IT — faster delivery on the work they don't have time for, without the audit gap.
No — and that's the point. Tray drives APIs, not screen-scraping. RPA bots are brittle and expensive to maintain. Tray workflows talk directly to systems via 700+ connectors plus a universal HTTP client.
Add LLM steps anywhere in a workflow — for classification, summarization, extraction, or agent-driven decisions. Wavo shipped 30+ AI-powered processes in <12 months without a dedicated AI engineering team.
Walk through your real systems with someone who's been there.
