Agentforce vs Einstein Bots: What's the Difference?

Einstein Bots: What They Do Well

Einstein Bots have been available since 2018 and are still solid for simple, predictable interactions. They work well when:

• You have a small number of well-defined customer intents (under 20)
• Conversations follow a predictable path (e.g., 'What is my order status?' -> look up order -> return status)
• You need basic data collection before routing to a human agent
• Your team has the bandwidth to manually script every conversation flow

Einstein Bots are essentially decision trees with NLP on top. They recognize intent, follow a pre-built flow, and return a response. If a customer asks something outside the flow, the bot escalates.

Agentforce: What Changes

Agentforce agents don't follow scripts. They reason. Here is what that means in practice:

• Dynamic problem-solving: An Agentforce agent can handle queries it has never seen before by reasoning through the available data and actions. An Einstein Bot cannot.
• Multi-step resolution: Agentforce agents can chain multiple actions together. For example: look up a customer's order, check the return policy, create a return case, send a confirmation email - all in one conversation.
• Context awareness: Agents understand the full context of a conversation, including previous messages, customer history, and related records. They don't lose context between turns.
• Action-oriented: While Einstein Bots primarily provide information, Agentforce agents take action - they update records, trigger flows, create tasks, and send communications.

Side-by-Side Comparison

Here is how the two stack up across key dimensions:

• Intelligence: Einstein Bots use intent recognition and scripted flows. Agentforce uses LLM-powered reasoning with grounded data access.
• Setup complexity: Einstein Bots require manual flow building for every scenario. Agentforce agents are configured with natural language instructions and topic definitions.
• Handling unexpected queries: Einstein Bots fail or escalate. Agentforce agents attempt to reason through the problem using available data and actions.
• Actions: Einstein Bots can trigger basic flows. Agentforce agents can execute complex, multi-step actions across any Salesforce object.
• Maintenance: Einstein Bots need manual updates when processes change. Agentforce agents adapt based on updated instructions and data.
• Cost per interaction: Einstein Bots are included in Service Cloud. Agentforce is priced per conversation (starting at $2/conversation).

When to Migrate from Einstein Bots to Agentforce

You should consider migrating when:

• Your Einstein Bot escalation rate is above 40% - meaning it can't handle most queries
• You are spending significant time maintaining and updating bot flows
• Customers complain about the bot experience or avoid it entirely
• You need agents that can take actions (create cases, update records) not just answer questions
• Your support volume is growing but you can't scale your human team proportionally

The migration path is straightforward: Agentforce runs alongside Einstein Bots, so you can migrate gradually. Start by routing your highest-volume, most-escalated intent to an Agentforce agent while keeping Einstein Bots for simpler queries. As confidence builds, shift more volume to Agentforce.

Our Recommendation

For new deployments in 2025, we recommend going directly to Agentforce. The setup effort is comparable to Einstein Bots, but the ceiling is dramatically higher. For existing Einstein Bot users, evaluate your escalation rate - if it's above 30%, the ROI of migrating to Agentforce is almost immediate.

The bottom line: Einstein Bots answer questions. Agentforce agents solve problems. Choose based on what your customers actually need.