Process automation

Process automation across changing systems and AI

Design, run, and evolve business processes across applications, APIs, data platforms, and AI-driven decisions, with full execution visibility.

How process automation works in Tray

Design end-to-end processes with explicit branching logic, parallel paths, and decision points. The workflow defines how the process executes in production, not hidden behavior buried in custom code.

Model business processes as they actually run

Process automation on the Tray AI Orchestration Platform

Process automation runs on the same platform that supports agent development, AI-driven workflows, and enterprise data integration. Develop process automation, integrations, agent tools, APIs, and MCP services, and govern them in one system rather than across separate tools.

What modern process automation requires

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Automate complex, cross-system processes

Run business-critical flows such as order management, employee onboarding, and support case resolution across applications, APIs, and data systems with consistent logic and control.

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Trigger and execute based on real-time events

Start processes from application events, webhooks, schedules, or system changes. Coordinate actions across systems within a single execution path.

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Define, reuse, and evolve process logic visually

Model branching paths, parallel steps, and decision rules in a shared visual workflow. Update logic without duplicating flows and reuse components across processes to reduce maintenance overhead and keep logic consistent.

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Infuse AI into core business logic

Apply AI-driven classification, intelligent document processing, text generation, and decision support directly within process execution using Tray AI Palette and leading model providers. AI steps operate alongside deterministic rules and integrations in a single controlled workflow.

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Operate with governance and production visibility

Use role-based permissions, environment separation, and structured access controls to manage automation across teams. Review execution history and logs to trace behavior, diagnose issues, and maintain operational confidence.

Apply this to your systems