Salesforce Einstein is the predecessor AI feature surface that runs alongside the Agentforce conversation model. The Admodum read on the per-user add-ons, the Einstein 1 bundles, the Copilot surface and the buyer-side rationalisation discipline.
Einstein is the predecessor Salesforce AI feature surface. It predates the Agentforce per-conversation model and integrates with the Sales Cloud, Service Cloud and Marketing Cloud editions as an add-on or a bundle component. The commercial mechanic is the per-user-priced add-on rather than the per-conversation metric.
The Einstein feature set covers the predictive scoring (Lead Scoring, Opportunity Scoring, Case Classification), the generative-AI Copilot (Sales Copilot, Service Copilot), the Prompt Builder and the Model Builder. The wider Agentforce per-conversation arithmetic spoke reads the successor commercial model that runs alongside.
Einstein 1 is the bundle that consolidates the Copilot, the Data Cloud starter entitlement, the premier support level and a wider feature set into a per-user-priced offering. Einstein 1 Sales sits above Sales Cloud Unlimited; Einstein 1 Service sits above Service Cloud Unlimited; Einstein 1 Platform sits above the platform editions for the platform-deployment use case.
The price step is substantial. The published rate for Einstein 1 Sales sits at five hundred dollars per user per month against Sales Cloud Unlimited at three hundred and thirty dollars; the realised band varies by commitment and contract. The wider Sales Cloud editions spoke reads the underlying ladder.
The Copilot surface is the principal Einstein 1 deliverable. Sales Copilot accelerates the seller's daily workflow (meeting prep, email drafting, account-research, opportunity-summary); Service Copilot accelerates the case agent's daily workflow (case summary, knowledge-article generation, customer-reply drafting).
The buyer-side discipline reads the Copilot adoption baseline. The principal metrics are the daily-active-user count (the proportion of Einstein 1 seats that use Copilot daily), the feature-usage rate (the average daily action count per active user) and the productivity uplift evidence (the time-saved-per-task baseline against a control cohort). The wider Service Cloud editions spoke reads the underlying service ladder.
Prompt Builder is the design-time tool that produces bespoke prompts against the customer's Salesforce data and the Data Cloud unified profile. Model Builder is the design-time tool that brings external models (the customer's own predictive model, the partner-built model) into the Einstein runtime.
The commercial position is included with Einstein 1 or available as a per-user-priced add-on to the underlying edition. The buyer-side discipline reads the actual prompt-builder usage (the deployed prompt count, the active-user-of-prompt-builder count) against the seat-cost step. A customer that does not deploy bespoke prompts at scale does not draw on the Prompt Builder entitlement.
The predictive-scoring layer (Lead Scoring, Opportunity Scoring, Case Classification, Article Recommendations) is the original Einstein feature set. The features are integrated into the Sales Cloud and Service Cloud editions at the Enterprise or Unlimited level and are typically the entry point to the Einstein surface for a customer that has not yet committed to Einstein 1.
The commercial position is the per-user-priced add-on to the underlying edition or the bundled inclusion in Einstein 1. The buyer-side discipline reads the actual scoring uplift (the conversion-rate-uplift evidence on lead scoring, the case-routing-accuracy evidence on case classification) before the renewal-cycle commits.
The Agentforce overlap is the strategic question. The two surfaces serve different audiences (Einstein 1 serves the internal user population, Agentforce serves the customer or partner population) but they share commercial weight. A customer that runs Einstein 1 at scale, runs Sales Copilot daily across the seller population and runs an Agentforce customer-service triage agent across the customer population carries both surfaces in the contract.
The buyer-side discipline reads the overlap before the renewal commits. The rationalisation read for a customer with low Copilot adoption is the step-down from Einstein 1 to Unlimited plus a targeted Copilot add-on for the cohort that uses it. The rationalisation read for a customer with high Copilot adoption is the maintenance of both surfaces at the negotiated band. The wider Agentforce per-conversation arithmetic spoke reads the per-conversation side of the overlap.
The successor per-conversation surface that runs alongside Einstein.
A senior Admodum Salesforce advisor will read your Einstein add-on inventory, your Einstein 1 bundle scope and your Copilot adoption baseline on a private call. Active renewal moments route to Renewal Programme.