Design, run, and evolve business processes across applications, APIs, data platforms, and AI-driven decisions, with full execution visibility.
Visually and collaboratively update business rules as requirements shift. Modify processes without code or workarounds while maintaining transparency and control.
Bring AI into existing processes without isolating it in a separate system. Add classification, intelligent document processing, and LLM capabilities directly to those processes.
Branching logic, exceptions, and retries are defined visually. Execution history allows teams to trace failures, understand behavior, and fix issues fast.
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.

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