Design, deploy, and monitor autonomous AI agents that execute complex multi-step workflows across your enterprise.
OpenRails agents are autonomous units of work that combine LLM reasoning with tool execution to accomplish enterprise tasks. From simple data lookups to multi-stage business processes, agents handle the heavy lifting while keeping humans in control.
The guided creation wizard walks you through every step of building a new agent, from selecting a base template to configuring tools and execution parameters.
Start from a blank canvas or select a pre-built template tailored to common enterprise use cases such as document summarization, data extraction, or report generation.
Select the agent's role in your workflow: Producer (generates content or data), Transformer (processes and reshapes data), or Writer (outputs final results to destinations).
Attach connected tools — databases, project management systems, web search, file storage, or any MCP-connected service that the agent can invoke during execution.
Set LLM provider, temperature, security level, scheduling (cron), and human-in-the-loop checkpoints. Then deploy to production.
Generate new content, retrieve data from external sources, or create structured outputs. Ideal for research, data collection, and content creation tasks.
Input StageProcess, filter, enrich, and reshape data between stages. Use LLM reasoning to classify, summarize, translate, or extract entities from unstructured content.
Processing StageDeliver final outputs to their destination—databases, files, APIs, notifications, or dashboards. Handle formatting and delivery confirmation.
Output StageChoose the orchestration pattern that matches your workflow needs.
| Pattern | Description | Best For |
|---|---|---|
| Playbooks | Scheduled, sequential automation. Agents execute steps one after another on a cron schedule, with each step's output feeding into the next. | Email triage, report generation, onboarding workflows, compliance audits |
| Symphonies | Multi-agent collaboration. Multiple specialist agents work together on a complex task, coordinating their efforts with shared context and synthesizing results. | Research projects, complex analysis, multi-domain problem solving |
Playbooks are where agents become truly autonomous. A playbook is an automated multi-step task chain that runs on a schedule or in response to a trigger — no human interaction needed (unless you add approval gates). Anything an agent can do interactively, a playbook can do automatically and repeatably.
A playbook runs every morning: a Producer agent checks the inbox, a Transformer agent classifies each message by topic and urgency, a Router agent dispatches to the right team, and a Writer agent drafts response suggestions and sends a summary digest.
Triggered by a new application: a Producer agent gathers submitted documents, a Transformer agent verifies completeness and runs compliance checks (with human approval gate), a Writer agent creates the account and sends the welcome package.
Triggered by monitoring alerts: a Transformer agent classifies severity, a Producer agent pulls relevant documentation and runbooks, a Writer agent drafts the incident report and notifies the on-call team via Teams.
Scheduled every Monday at 7 AM: a Producer agent queries databases and project tools for metrics, a Transformer agent generates trend analysis, and a Writer agent formats a polished report and distributes it to stakeholders.
Running hourly: a Producer agent checks for new data uploads, a Transformer agent validates formats and flags anomalies, a Writer agent notifies the data team and generates a quality scorecard.
Scheduled weekly: a Producer agent scans new documents, a Transformer agent checks against regulatory rules and flags violations, a Writer agent generates the compliance summary and routes flagged items for human review.
Symphonies coordinate multiple agents working simultaneously on different aspects of a complex problem. While playbooks chain agents in sequence, symphonies let agents work in parallel — each contributing its specialty to a shared objective.
Every agent run is tracked in real time through live-update dashboards. You can view execution status, inspect intermediate outputs, and intervene at any checkpoint.
Get started fast with templates for common enterprise scenarios:
Upload a document and receive a structured summary with key points, action items, and metadata.
Extract data from external APIs, transform it, and load it into your database or data lake.
Scan documents for PII, classify sensitivity levels, and flag items requiring human review.
Aggregate data from multiple sources and produce formatted reports on a scheduled basis.
Router agent that classifies incoming requests and dispatches to the appropriate specialist agent.
Ingest audio/video recordings, transcribe, extract action items, and distribute summaries.