"Stonebranch is an exceptional scheduling solution that offers comprehensive capabilities including scheduling, alerting, monitoring, integration and automation."
IT Associate · Energy and Utilities · $30B+ revenue
Stonebranch Solution
Hybrid Orchestration Control Plane
Stonebranch orchestrates the full spectrum of enterprise automation — from deterministic processes to autonomous AI agents — across any framework, any model, any infrastructure.
Hybrid Orchestration Control Plane
Orchestrate the Whole Process, Not Just the Agent
Coordinate AI agents, human decisions, and deterministic automation across your enterprise — while governed workflows control how actions execute.
Vendor agnostic. Enterprise-grade. Production-ready.
- One workflow, three execution types: Orchestrate jobs, AI tasks, and agents with consistent governance.
- Governed agent execution: Give agents approved workflows—not direct system access.
- Any agent, any framework: Coordinate AI across platforms from one vendor-neutral control plane.
- Orchestrate without replacing: Govern existing automation without rip-and-replace.
Leader in the Gartner 2026 Magic Quadrant for SOAP
For the third consecutive year, Stonebranch is a Leader in the 2026 Gartner Magic Quadrant for Service Orchestration and Automation Platforms, or SOAP for short. Access the full report today.
Automation Silos
AI Agents Are the Next Automation Silo
Agent Orchestration has Become Democratized
In addition to the automation that already runs their critical operations, enterprises are building agents on new agentic orchestration platforms. But agents act without the operational context surrounding each decision, from prior approvals to downstream dependencies and recovery activity.
Without orchestration, they become another disconnected execution environment, introducing separate controls, fragmented visibility, and custom plumbing between every AI decision and enterprise action.
Stonebranch connects them into one governed process.
Enterprise Hybrid AI Architecture
The Orchestration Layer Across the Enterprise AI Stack
Connect Every Layer of Enterprise AI Execution
An Enterprise Hybrid AI Architecture includes more than just agents. AI gateways govern model access. Agent execution engines coordinate agentic reasoning and tasks. Enterprise systems perform the underlying work.
Each layer of the architecture serves a distinct purpose. The Hybrid Orchestration Control Plane (the layer powered by Stonebranch) connects and coordinates work across each layer, providing the reliability, visibility, and control required to run AI in enterprise production.
Agent orchestration happens inside the agentic execution engine. Hybrid orchestration happens across the enterprise process.
Control Plane
Enterprise AI Isn’t Production-Ready Without the Hybrid Orchestration Control Plane
Create the process. Orchestrate hybrid execution. Connect the AI and automation ecosystem. Govern the work.
Speed-to-Production
Build Hybrid AI Automation Faster
Use AI assistance, natural language, and a visual workflow designer to move from idea to production-ready automation faster.
- Generate review-ready workflows from natural-language descriptions and your existing automation objects.
- Create and optimize scripts, extensions, and workflow logic with AI assistance.
- Drag and drop deterministic tasks, AI tasks, agent actions, events, and approvals into unified, end-to-end workflows.
Powered by Robi AI and Universal Automation Center.
Unified Hybrid Execution
Run Every Execution Type From the Same Platform
Use each type of execution where it fits best, without fragmenting the broader business process.
- Run deterministic automation, AI tasks, and autonomous agent actions within the same end-to-end enterprise process.
- Apply shared dependencies, permissions, retries, SLAs, auditability, recovery, and operational outcomes across all three execution types.
Choose the Right Execution Type for Each Step
Not every step should be autonomous. Use deterministic automation where precision is required, AI tasks where information must be interpreted, agents where bounded reasoning adds value, and people where judgment or approval is necessary.
Stonebranch coordinates all execution types from a centralized platform.
Multivendor AI Ecosystem Coordination
Integrate Your Hybrid AI Ecosystem
Connect AI to enterprise execution without making a single agent platform, model provider, or cloud the center of every process.
- Agent platforms: Connect externally built agents to approved Stonebranch workflows and incorporate their results into broader enterprise processes.
- Open interfaces: Use MCP servers, APIs, and reusable integrations to connect AI platforms, automation tools, and enterprise technologies.
- Models and gateways: Select the model providers and AI gateways that best fit each use case, budget, and security requirements.
- Enterprise systems: Connect AI to the applications, infrastructure, data platforms, and business systems where work happens.
Choose the right intelligence. Keep one operational control plane.
See Our AI Integrations
Controlled Enterprise Execution
Govern How AI-Driven Actions Execute
The agent can act. The workflow stays in control.
Expose approved workflows to agents as callable tools. The agent picks the capability it needs. The workflow keeps the credentials and enforces the permissions, approvals, service levels, and recovery logic.
- Access: Expose approved capabilities to AI while credentials stay inside governed connections.
- Authority: Apply permissions, rules, dependencies, approvals, and human checkpoints.
- Accountability: Trace every request from execution to outcome in one audit record.
Separating intelligence from execution authority lets agents reason without unrestricted access to enterprise systems.
Learn More About Governed Workflows| Comparison criteria | Agent-Controlled Execution | UAC Governed Workflow(workflows-as-tools) |
|---|---|---|
| Agent chooses | Which operations to call, in what order | Which approved capability to invoke |
| Authorization lives | In each downstream system, inconsistently | In the workflow, uniformly |
| When something is missing | Agent composes an improvised route | Agent has no route; the gap is visible |
| Blast radius | Every operation the credential permits | The capability's defined scope |
| Audit record | Scattered across system logs | One execution record per invocation |
| Rollback | Whatever each system happens to support | Defined as part of the contract |
Hybrid Orchestration Use Cases
Practical ways to put AI and AI agents to work inside governed enterprise workflows.
AI Enhanced Data / Analytics Pipelines
Analyzing unstructured data through synthesis and sentiment analysis, enriching it with public data sources, and masking personally identifiable information (PII) to ensure compliance.
Orchestration of Third-Party Agents
Extending governance, security, and observability to agents built and operating in third-party systems—ensuring consistent control regardless of where those agents are created or run.
Root-Cause Analysis and Remediation
Using AI to analyze failed jobs and workflows, generate remediation recommendations, route them to ITSM platforms, and empower teams to resolve problems quickly.
AI Agents Trigger Governed Workflows
Agents reason, make decisions, and request actions—but Stonebranch keeps execution under workflow control. Separating intelligence from execution authority lets agents contribute without unrestricted access to enterprise systems.
Bring AI Into the Workflows That Run Your Business
Embed AI and agent tasks directly into the enterprise workflows you already automate.
Workload Automation
Add AI reasoning, classification, content generation, or agent actions to end-to-end business and IT workflows.
Learn more →Cloud Automation
Use AI alongside infrastructure automation to analyze conditions, recommend actions, and trigger governed cloud operations.
Learn more →Data Pipeline Orchestration
Apply AI to find, classify, enrich, transform, and synthesize data as part of production data pipelines.
Learn more →Managed File Transfer
Combine secure file movement with AI-powered inspection, classification, extraction, or downstream processing.
Learn more →DevOps Automation
Embed AI into build, release, remediation, and operational workflows while keeping execution controlled and auditable.
Learn more →TESTIMONIALS
Enterprise Orchestration, Proven in Production
Extend the reliability, visibility, and control of proven orchestration to AI-driven processes and agent-requested actions.
See What Users Say about Stonebranch
"A year in and [Stonebranch] is still one of the best products we moved to. They continue to build and refine an already amazing product!"
Sys Admin · Insurance · <$50M revenue
"Stonebranch allows me to manage all my IT jobs and file transfers from a single place."
Jeff V. · G2 Reviewer
Check Out Additional Resources
Frequently Asked Questions
What is a hybrid orchestration control plane?
The hybrid orchestration control plane is the operational layer that coordinates end-to-end enterprise processes, combining deterministic automation, AI tasks, agent actions, human decisions, and business systems. It unifies control of events, dependencies, permissions, execution, service levels, monitoring, audit trails, and recovery across the complete process.
How is a hybrid orchestration control plane different from an agent orchestration framework?
An agent orchestration framework coordinates how agents reason, use tools, and collaborate within agentic applications. A hybrid orchestration control plane coordinates the broader enterprise process, connecting agent actions with deterministic automation, applications, data, infrastructure, events, and human approvals.
Can Stonebranch orchestrate AI agents and traditional automation in the same workflow?
Yes. Stonebranch can coordinate deterministic jobs, AI tasks, agent actions, and human approvals within one end-to-end workflow. Each execution type serves a different purpose, while shared dependencies, permissions, service levels, retries, and operational controls keep the complete process coordinated.
Do agents receive direct access to enterprise systems?
They don’t have to. Agents can request approved Stonebranch UAC governed workflows as tools. The workflow retains the credentials and applies the permissions, rules, approvals, dependencies, and recovery logic required to execute safely.
Do I need to replace my existing automation or agent platforms?
No. Stonebranch uses MCP servers, APIs, and reusable integrations to coordinate workflows across existing agent platforms, models, automation tools, and enterprise systems. The goal is coordination, not forced consolidation.
How does Stonebranch govern AI-driven actions?
Stonebranch routes requests through approved workflows that enforce identity, access, system boundaries, business rules, dependencies, approvals, retries, and exception handling. The operational record connects the request to execution and outcome.