Einstein and Salesforce AI explained — and how Agentforce fits

What is Salesforce Einstein?

Salesforce Einstein is the AI built into the platform: predictive features (lead and opportunity scoring, case classification, forecasting) and embedded generative features (drafting emails, summaries, and replies) that help users work faster. Einstein assists humans inside existing workflows.

Agentforce is different. It is Salesforce's agentic AI — autonomous agents that reason over a request, retrieve live data, and take actions. It runs on the Atlas Reasoning Engine and grounds answers in Data Cloud. Einstein Copilot was renamed Agentforce as Salesforce shifted from assistants to agents.

When should you use Einstein vs Agentforce?

The two layers fit different needs:

• Use Einstein to make people faster — scoring, classification, summaries, and drafting inside their workflow.
• Use Agentforce to deflect or automate whole tasks with autonomous agents.
• Use both when you want assisted humans and autonomous agents working from the same trusted data.
• Ground either with Data Cloud when answers depend on unified customer data.
• Choose a model (OpenAI, Anthropic, Gemini) when output quality or data residency matters.

Agentforce vs Einstein — what's the difference?

Einstein assists people (scoring, classification, drafting) inside workflows. Agentforce acts autonomously — agents on the Atlas Reasoning Engine that plan, retrieve data, and execute tasks. They're complementary layers, not either/or.

Is Einstein being replaced by Agentforce?

No. Einstein's predictive and embedded generative features remain. Agentforce is the newer agentic layer (and Einstein Copilot was renamed Agentforce). Most orgs run Einstein assists and Agentforce agents together.

What is the Atlas Reasoning Engine?

It's the reasoning layer behind Agentforce. It breaks a request into subtasks, decides which data and tools to use, retrieves live CRM data via RAG, and executes — which is what separates an agent from a scripted chatbot.

What models power Salesforce AI?

Salesforce supports a choice of large language models — including OpenAI, Anthropic, and Google Gemini — within its trust layer. The right choice depends on output quality, cost, and data-residency needs.

Do you need both Einstein and Agentforce?

Often yes. Einstein makes your people faster; Agentforce automates whole tasks. Run from the same Data Cloud-grounded data, they reinforce each other.