If you want AI agents that act inside business processes, not just chat, the big platforms are tied to the systems they sit on. The best fit is usually the one closest to your data.

Quick guide

  • [Salesforce Agentforce](/products/agentforce): agents for sales, service and marketing on top of Salesforce data. Best if Salesforce is your system of record.
  • [ServiceNow AI Agents](/products/servicenow-ai-agents): agents for IT, HR and customer workflows on the ServiceNow platform. Best if ServiceNow runs your service desk.
  • [UiPath Agentic Automation](/products/uipath-agentic-automation): combines agents with robotic process automation, useful where work spans old systems with no API.
  • [Microsoft Copilot Studio](/products/microsoft-copilot-studio): build agents on Microsoft 365, Dynamics 365 and Power Platform. Best for Microsoft-heavy organisations.
  • [Kore.ai](/technologies/kore-ai), [Moveworks](/technologies/moveworks) and [Zoho Zia](/products/zoho-zia) are strong alternatives in support, employee service and Zoho environments.

How to decide

  1. Where is the data? Agents are only as good as the records they can read and update.
  2. Who will build? Some platforms suit business users; others need developers.
  3. What can go wrong? Decide which actions an agent may take alone and which need approval.
  4. How will you monitor it? Look for logs, test tools and a way to roll back changes.

Run a small first project

Choose one process with clear rules, such as password resets or order status, and measure time saved before widening scope.

These platforms are usually deployed by implementation partners. Open any vendor on the AI page to see partners, or read AI agent development cost in India.