How to create multi-agent workflows for business automation

How to create multi-agent workflows for business automation

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RoboWork is an all-in-one AI automation platform to create specialized AI agents, chain them into multi-agent workflows, and deploy them internally or publicly in minutes—without writing code. It supports human-in-the-loop reviews, auto-planning and self-reflection, and integrates with your stack via the Model Context Protocol (MCP) and a REST API. The platform unifies top models (ChatGPT, Claude, Gemini, and RoboWorkAI) with auto-selection, provides knowledge bases trained from your files and websites, and offers one-click deploy, embedding, and white-label options. Designed for individuals through enterprises, RoboWork powers 10K+ teams, 50M+ automated tasks, with 99.9% uptime and SOC 2–aligned practices. Common use cases include sales outreach, content operations, customer support, data processing, and back-office automations.

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What to expect from an ideal product

  1. Create specialized AI agents for different business tasks and connect them together to handle complex workflows from start to finish
  2. Use the visual workflow builder to map out your business processes and assign specific roles to each agent without needing technical skills
  3. Set up human review points in your workflows so team members can approve, reject, or modify agent outputs before moving to the next step
  4. Connect your existing tools and systems through the platform's integrations so agents can pull data, update records, and trigger actions across your tech stack
  5. Deploy your multi-agent workflows with one click and monitor their performance while they handle repetitive tasks like lead qualification, content creation, and customer support

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