Einstein vs Agentforce: what changed, and what you already own

By Giorgio Bonan. Updated October 21, 2026, published October 21, 2026.

Einstein and Agentforce are not two versions of the same thing. Einstein is Salesforce's family of predictive and generative features inside its apps (scores, forecasts, insights); Agentforce is the platform for AI agents that take actions and is billed per action or per user. Only the assistant moved from one to the other: Einstein Copilot became Agentforce.

The short answer, line by line

Sources: Salesforce pricing pages read on 21 October 2026, CX Today on the Copilot rename, Tectonic on the Close Date Predictions retirement.

What actually changed in the rename

Salesforce's Winter '25 release notes, as reported by CX Today, renamed the Einstein Copilot agent type to Agentforce, with no functional changes, available from January 2025. In Setup it appears as "Agentforce (Default)". The assistant was one agent among many in the new platform rather than a separate Einstein product.

The predictive features kept the Einstein name. Opportunity Scoring, for example, is still listed as part of Sales Cloud Core.

What each Sales Cloud edition lists

From Salesforce's Sales Cloud pricing page and feature comparison, read on 21 October 2026:

If your org is on Core or above, you already have Pipeline Inspection and opportunity scoring before buying anything labelled Agentforce. See Salesforce Pipeline Inspection for setting it up.

What each feature gives a sales manager

Sources: Salesforce Sales Cloud pricing and feature comparison, Salesforce Help on AI solutions for pipeline visibility, Salesforce Agentforce Sales release notes.

The names, 2025 to 2026

The Einstein brand did not disappear: it stayed on the predictive features. What changed is that new AI work at Salesforce is branded Agentforce, and the platform layer underneath changed names twice.

If you used Einstein Copilot

1. Check Setup. The assistant appears as "Agentforce (Default)". Salesforce said the rename did not change behavior.
2. List your custom actions. Actions built for Copilot continue as agent actions; review them like any agent capability.
3. Check who has access. Permission sets assigned for Copilot now give access to an Agentforce agent.
4. Read the billing. Agent usage beyond what your edition includes is billed under Agentforce's models; see Agentforce pricing.

What the move to Agentforce costs a 20-seat team

A manager's Monday, on Core and on Max

On Core. The manager opens Pipeline Inspection filtered on the team and this quarter. Highlights show the close dates pushed since last week and the amounts that changed. Opportunity scores sort the list. Deals with an old Last Activity Date are found by sorting that column. Everything is there; the manager does the reading.

On Max. The same view, plus Agentforce Pipeline Management suggestions in the Agent Activity column: "update next step from Thursday's email", "create a follow-up". A daily briefing in Slack lists the deals closing soon. Coworker can be asked to prepare the forecast call notes. The manager still decides; the preparation is partly done.

The difference is preparation time, not a different truth: both read the same fields. A deal whose buyer went silent and whose rep logs nothing looks the same in both.

A decision guide by edition

Questions to ask your account executive

1. Which Einstein features are active in our org today, and which are licensed but switched off?
2. Which of our current Einstein features will be replaced, and which kept?
3. How many Flex Credits does our edition include, and how many did we use last quarter?
4. If we move from Einstein features to Agentforce agents, what is the price difference for our seat count?
5. Which model runs each agent we would use, and can we choose?

If you relied on Close Date Predictions

Einstein Close Date Predictions were retired in Spring '25, while the other Deal Insights (call, email and service case insights) remained, according to Tectonic. Teams that used predicted close dates to challenge reps need another signal. Three options, from the cheapest:

1. A rule on pushes. Every close date moved more than once gets a reason in the forecast meeting; Pipeline Inspection highlights the moves.
2. A rule on silence. A deal with no activity for more than 14 days leaves Commit until it has new activity.
3. A prediction. Predictive Forecasting, an add-on on Core, gives a predicted outcome for the forecast as a whole rather than per deal.

Can you use both?

Yes, and most orgs on Core or above already do. Einstein features score and predict; Agentforce agents act. A common combination: opportunity scoring sorts the pipeline, Pipeline Inspection shows what moved, and an agent drafts follow-ups for the deals the manager flags. The risk of combining them is double counting the same insight in two places; decide which view the forecast meeting uses and keep it.

Our position, stated

TruthPipe is independent of Salesforce and sells a fixed-price pipeline check. Nothing on this page depends on it: every edition and feature listed comes from Salesforce's own pages, with the date it was read.

The one-line answer

Einstein predicts, Agentforce acts, and both read the same CRM data. Buy the one that matches the job, and fix the data first in either case.

Before you buy anything labelled AI

Spend thirty minutes listing what is already switched on in your org: open Setup and check opportunity scoring, Pipeline Inspection, Einstein features and Foundations. Many orgs pay for these through their edition and use none of them. Turning on what you own, and running one month of forecast reviews with it, gives you the baseline any new purchase must beat.

Glossary

Three misconceptions

• "Einstein is being shut down." The assistant was renamed; the predictive features remain and are listed in current editions.
• "Agentforce replaces forecasting." Forecasting, Pipeline Inspection and opportunity scoring are Sales Cloud features; agents work on top of them.
• "An agent will clean the pipeline." Agentforce Pipeline Management suggests updates from activity, and someone still has to accept them. A deal nobody has touched produces no activity to learn from.

When to use which

• You want a number on each deal. Einstein Opportunity Scoring, included from Core.
• You want a forecast prediction. Predictive Forecasting, an add-on on Core and included above.
• You want work done. Agentforce: research an account, draft follow-ups, update records. Budget it with the Agentforce pricing estimator.
• You want to know whether the forecast is honest. Neither by itself. Scores and agents read the same fields; a pipeline full of deals with past close dates and no activity gives confident scores and confident agents.

Where the models are going

Salesforce is moving common CRM reasoning to its own model, Koa, built with NVIDIA and in pilot, while keeping frontier models such as Claude for broader tasks. The Einstein name, for its part, stays on the predictive features. For adoption figures and the honest trade-offs of the agent side, read our Agentforce review.