Robi AI Data Sheet
AI-powered intelligence for enterprise automation — with the governance and control IT teams require.
Robi AI brings governed AI to the Universal Automation Center, letting teams build, run, and troubleshoot automation using natural language and AI-driven insights — without giving up the control, auditability, or compliance that enterprise environments demand. This data sheet covers what Robi AI does, how it fits into UAC, and what it means for the teams managing automation at scale.
AI for Automation. Control for Enterprises.
Most AI tools are added on top of existing systems. Robi AI is different — it's built into UAC, which means every AI action runs inside the same governed framework as the rest of your automation. Teams get intelligent capabilities. Enterprises keep centralized control.
Chat-Based AI Assistant
Robi AI is a conversational assistant trained on UAC metadata and your environment's context. Users can query workflows, trigger executions, check task status, and take action — all through natural language, with no scripting required.
- Query real-time and historical status of tasks, workflows, and triggers
- Trigger executions and perform actions like cancel, rerun, hold, skip, and force-finish directly from chat
- Ask how-to questions and get step-by-step guidance or links to relevant documentation
- Accelerate onboarding by letting new users interact with UAC without deep platform knowledge
AI-Powered Troubleshooting
When a job fails inside a complex nested workflow, finding the source of the problem takes time. Robi AI shortens that time significantly. Right-click a failed workflow, select Analyze Now, and Robi AI evaluates logs, metadata, and execution history — returning a root cause, the specific area of the script causing the failure, and a recommended fix.
- Analyze logs and diagnostics across workflows automatically
- Retrieve audit data and dependencies without manual log diving
- Access key execution details including timing, exit codes, and results
- Support or automate remediation steps within a governed framework
AI Tasks in Workflows
Embed AI directly into automation pipelines as a governed step. Combine deterministic workflow execution with AI-driven reasoning for processes that involve unstructured data, classification, summarization, or decision support — while keeping humans in control where it matters.
- Enable human-in-the-loop decisions with AI-generated context
- Control AI usage with role-based access to prompts
- Protect prompt integrity with secure configurations
- Ensure predictable outputs with structured responses
AI Interoperability and Self-Service
Use conversational AI as the interface to your enterprise automation. Robi AI supports MCP Client/Server architecture, allowing AI models and agents to interact with UAC using natural language across systems.
- Integrate AI models and agents via MCP and APIs
- Enable agent-to-agent orchestration across systems
- Support open frameworks to avoid vendor lock-in
Trusted AI Starts with Governed Automation
Every Robi AI action runs inside UAC's governance framework — so AI usage is predictable, auditable, and aligned with your organization's standards.
- Role-Based Controls: Define who can use AI, which prompts they can access, and what actions they can take
- Governed Prompt Libraries: Ensure consistent, approved AI behavior across teams and environments
- Full Auditability: Track all user actions, API calls, and AI interactions with a complete audit trail
- Data Privacy by Design: Your data is never used to train Robi AI models — dedicated AI instances keep your workflows and data private
- Flexible Deployment: Run Robi AI in SaaS, hybrid, or self-managed environments based on your requirements
- Capability Restrictions: Apply AI usage limits across workflows and environments with policy-driven controls
Solution highlights:
- Resolve job failures faster with instant AI-driven root cause analysis and remediation recommendations.
- Build automation faster using natural language — no scripting required.
- Embed AI tasks into workflows as governed steps with role-based access and structured outputs.
- Control how AI operates with policy-driven guardrails, prompt governance, and full audit trails.
- Connect AI models and agents to UAC via MCP without vendor lock-in.
- Keep customer data private — Stonebranch does not use your data to train Robi AI.
