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Overview

Agentic Workflows are the foundation of the OI Agents’ automation system. They enable you to design, coordinate, and execute AI-native workflows using intelligent agents that interact with data, tools, and systems to perform structured, multi-step tasks.

Unlike linear scripts or simple prompt-based flows, agentic workflows support dynamic reasoning, decision-making, and tool invocation, enabling true automation across complex business processes.

What Makes a Workflow "Agentic"?

An agentic workflow is built from the following core elements:

  • Agents: Reusable logic units powered by LLMs, configured with models, system prompts, tools, and memory. Each agent can reason, retrieve, and act based on context.
  • Tools: Functional components (e.g., API calls, document readers, database queries) that agents use to take actions in the workflow.

Key Capabilities

  • Multi-agent orchestration: Assign different agents to different tasks with collaborative handoffs and conditional logic.
  • Tool-augmented reasoning: Equip agents with tools to extend their capabilities beyond generation.
  • Enterprise integrations: Connect to external systems using MCP or HTTP tools, with authentication and schema support.
  • Reusable components: Use libraries of agents, tools, and templates across workflows to reduce duplication.
  • Secure and observable: Built-in role-based access, audit logs, and evaluation hooks for production-grade governance.

Common Use Cases

  • Automated decision trees (e.g., legal triage, financial approvals)
  • Agent-assisted document processing (e.g., contract extraction, policy review)
  • Cross-system coordination (e.g., sales ops pulling CRM + ERP + email data)
  • Enterprise copilots with background agents executing follow-ups, validations, or escalations