Three Salesforce AI names get used interchangeably in almost every conversation I have. They do three different jobs, and the difference is architectural rather than marketing.
The one-line version
Einstein is prediction and generation inside existing Salesforce features. Lead scoring, forecasting, a suggested reply. It assists the person doing the work. You configure it.
Agentforce runs autonomous agents on the Salesforce platform. An agent takes topics and actions, decides which to use, and completes work end to end, including work that touches customers. You build and deploy it.
Claudeforce goes the other direction. Announced 26 August 2026, it puts Salesforce data inside Claude through a first-party plugin carrying 37 prebuilt sales skills, and makes Claude the default reasoning model behind Agentforce. The work happens in Claude rather than in the CRM screen.
Side by side
| Einstein | Agentforce | Claudeforce | |
|---|---|---|---|
| What it is | Prediction and generation in-product | Autonomous agents | Salesforce data inside Claude |
| Where the work happens | Salesforce UI | Salesforce platform | Claude |
| Who it serves | The user doing the task | External customers and internal processes | Internal knowledge workers, sellers first |
| Autonomous | No | Yes | No, it is assistive |
| How you build it | Configuration | Topics, actions, Flow, Apex | Install the plugin |
The architecture point
Claudeforce is only possible because of Headless 360, the API and MCP layer Salesforce has been shipping through 2026. Without a layer that carries the org's permission model along with the data, putting Salesforce records inside a third-party chat window is a security review that never ends.
That is the actual engineering story. The plugin is the visible product. The permission-carrying API layer is the reason it could exist at all.
Pricing, because only one of them has any
Agentforce is priced on consumption rather than seats: Flex Credits at $500 per 100,000, with $2 per conversation and $2 pay-per-resolution options. Your bill scales with agent activity rather than headcount, which is the opposite of how most Salesforce budgets are built.
Claudeforce has no published standalone price. It is with pilot customers, with open beta announced for September 2026. Anyone quoting you a list price is guessing.
How to pick
Ask where your people already work.
If the answer is "in Salesforce, and they need help with the task in front of them", that is Einstein.
If the answer is "we want the task done without a person in the loop", that is Agentforce. The hard part there will be data quality and choosing which workflow to hand over first, not the technology.
If the answer is "our team lives in a chat window and Salesforce is where the data happens to be", that is Claudeforce.
They are not competing. Most orgs that adopt one will end up with two.
The governance question nobody asks until late
Agents inherit the org's sharing model, so an agent cannot read what the user it acts for cannot read. That is the easy half.
The harder half: when an agent completes work that touches a customer and gets it wrong, who owns that? Testing an agent is not testing a feature. You are testing a system that makes decisions. Budget for it the way you would budget for any release that touches customers, because that is what it is.
This is an edited version. The full guide, with the worked pricing example and the complete comparison, is on our site: Claudeforce vs Agentforce vs Einstein
I work at Ashapura Softech, a Salesforce implementation partner, so weigh that accordingly.
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