AI agents for business automation (with 27 AI agent examples)
Zapier introduces AI agents that automate business tasks with decision-making capabilities, integrating with existing workflows and thousands of apps.
AI agents represent a shift from rigid, rules-based automation to systems that analyze context and act dynamically within established workflows. Unlike chatbots, which respond conversationally, AI agents can execute tasks such as rescheduling deliveries or updating CRM records without manual input. Zapier positions itself as a connected platform, enabling these agents to operate across tools from partners like Google, Salesforce, and Microsoft.
An AI agent is software that receives a goal and determines the steps to achieve it, balancing autonomy with predefined rules to ensure reliability. These agents avoid unpredictability by operating within structured systems, making them suitable for business-critical processes. Zapier MCP extends this capability by allowing chat tools like Claude or ChatGPT to interact with apps, transforming them from conversational interfaces into task-performing agents.
AI agents fall into two categories: deterministic agents, which run silently in the background with consistent outputs, and prompt-triggered agents, which adapt to user requests but may produce varied results. Deterministic agents are ideal for auditable, scalable workflows, while prompt-triggered agents offer flexibility for ad-hoc tasks. Zapier’s AI by Zapier and MCP tools support both types, catering to different automation needs.
Administrative tasks such as email triage, Slack message follow-ups, and meeting management can be offloaded to AI agents, freeing teams to focus on higher-value work. Examples include using Claude with Zapier MCP to filter media inboxes or automating meeting follow-ups based on call summaries. Agents can also categorize emails into labeled folders, streamlining retrieval and reducing manual effort.