Make AI Agents vs. Standard Automation Scenarios 🔀

✦ Make AI Agents: Adaptive & Independent

Make AI Agents represent a shift from traditional rigid workflows to agentic AI. Instead of building complex routers with dozens of filter conditions to handle customer requests, you provide the agent with a goal, instructions, and a set of tools (like your CRM, billing system, or a custom knowledge base).

When a customer messages your omnichannel inbox, the AI Agent independently evaluates the context, determines if it needs to fetch external data, and decides which steps to take to resolve the inquiry. It is the ideal solution for handling open-ended conversations, multi-step problem solving, and inquiries that don't fit perfectly into a predefined box. Plus, with Make's signature visual canvas, you get radical transparency—you can view the agent's exact reasoning and tool usage for every single conversation.

✦ Standard Scenarios: Deterministic & Rule-Based

While Make AI Agents handle ambiguity, Standard Scenarios (even those enhanced with simple AI modules) excel at predictable, high-volume processes. If a customer action should always result in the exact same backend sequence—like sending a standard "ticket received" email when a tag is applied—a traditional deterministic workflow is the fastest and most cost-effective method.

You can still use AI within these traditional workflows (for example, dropping an OpenAI module into a scenario to analyze ticket sentiment), but the path the data takes is strictly controlled by the visual routers and filters you have built, rather than the AI's independent reasoning.

⚖️ When to Use Which?

The choice comes down to Flexibility vs. Predictability.

• Choose Make AI Agents for your customer-facing chat interactions, where users ask unpredictable questions, require contextual data retrieval, and expect conversational problem-solving.
• Choose Standard Scenarios for strict, background processes where rules are binary (e.g., "If refund > $100, alert management") and execution needs to be entirely deterministic.

By connecting Make with your omnichannel inbox, you can utilize Make AI Agents on the frontlines to converse naturally with customers, while relying on standard scenarios to silently organize the resulting structured data in the background.