Data Sheets & Tech Briefs

Hybrid Orchestration Control Plane: Govern AI and Enterprise Automation

Discover how Stonebranch Universal Automation Center (UAC) unifies AI agents, intelligent workflows, and traditional automation under one governed hybrid orchestration control plane.

Hybrid Orchestration Control Plane Data Sheet

Bring AI and Enterprise Automation Together Under One Control Plane

As enterprises adopt AI agents and intelligent automation, IT environments are becoming increasingly complex. Traditional jobs, AI-powered tasks, autonomous agents, and human decisions often operate across disconnected systems, making it difficult to maintain visibility, security, and control.

Stonebranch Universal Automation Center (UAC) provides a vendor-neutral hybrid orchestration control plane that coordinates deterministic automation, AI-enhanced workflows, and agentic execution from a single platform. By connecting applications, data, cloud infrastructure, AI models, and agents, UAC helps organizations operationalize AI while maintaining consistent governance across every execution type.

Rather than introducing another automation silo, Stonebranch extends existing investments with centralized orchestration, observability, and enterprise-grade controls.

Download the data sheet to discover how to:

  • Unify Hybrid Orchestration: Coordinate traditional jobs, AI tasks, autonomous agent actions, events, and human approvals within governed end-to-end enterprise workflows.
  • Govern AI Agent Actions: Enable agents to execute approved workflows while UAC maintains control over credentials, permissions, business rules, dependencies, approvals, and recovery.
  • Connect AI Models, Agents, and Enterprise Systems: Integrate third-party AI agents, models, gateways, and automation tools with enterprise applications, data, cloud, and infrastructure using open APIs, Model Context Protocol (MCP), and reusable integrations.
  • Apply Consistent Enterprise Governance: Extend security, observability, compliance, reliability, and cost controls across deterministic, AI-enhanced, and agentic workflows.
  • Accelerate AI-Powered Workflow Development: Use AI Workflow Builder to turn natural-language descriptions into workflows combining AI tasks, agent actions, traditional automation, events, and human approvals.
  • Modernize Without Replacing Existing Tools: Bring existing automation platforms and externally developed AI agents under centralized governance without disrupting current technology investments.
Back to Resources Overview