Celeste vs Salesforce Agentforce (formerly Einstein)
Celeste records 125 monthly visits with -91.1% month-over-month growth and Contact for Pricing pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.
Autonomous AI agents run collections workflows and borrower outreach with far less manual input.
Real-time borrower insights
See borrower behavior and shifting risk signals the moment they change, not in a stale monthly report.
Personalized collection strategies
Outreach and treatment adapt to each account rather than following a single rigid script.
Template autopopulation
Collection templates are filled automatically with account context, cutting repetitive drafting work.
Strengths & Pros
+Purpose-built for SMB lending collections rather than repurposed CRM
+Agentic automation can run outreach continuously across large books
+Real-time risk and borrower insights support faster decisions
+Aims to lift recovery rates while reducing manual workload
Limitations
Frequently Asked Questions: Celeste vs Salesforce Agentforce (formerly Einstein)
Celeste has 125 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.
Best Alternatives to Celeste & Salesforce Agentforce (formerly Einstein) (12)
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No public pricing, so budgeting requires a sales conversation
–Requires connecting loan and borrower data to deliver value
–Collections is a regulated area, so deployment review is needed
Salesforce Agentforce (formerly Einstein)
Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas.
Atlas Reasoning Engine & Long-Horizon Runtime
Deconstructs complex queries into multi-step action plans grounded in Data 360, retaining state across days or weeks to complete multi-touch operational workflows with human escalation guardrails.
Low-Code Agent Builder & Agent Script
Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.
Multi-Agent Orchestration & MCP Interoperability
Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.
Agentforce Voice & Omnichannel Deployment
Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.
Strengths & Pros
+Deep native access to Salesforce CRM objects, Flows, Apex logic, MuleSoft integrations, and Data 360 without brittle third-party syncing.
+Flexible 2026 billing models let enterprises choose between per-action Flex Credits ($0.10/action), $2 per conversation, $2 per resolution, or unmetered per-user licenses.
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Enterprise-grade Einstein Trust Layer enforces zero data retention with external LLM providers, PII masking, and toxicity detection.
+Supports open multi-agent interoperability via Model Context Protocol (MCP) and Long-Horizon multi-day task execution.
Limitations
–Consumption pricing across Flex Credits, Data 360 credits, and seat add-ons is complex to forecast and prevents mixing Flex Credits and Conversation meters in the same org.
–Requires clean, well-structured Salesforce CRM and Data 360 governance to avoid inaccurate agent actions.
–Full enterprise capabilities carry a steep total cost of ownership, with top-tier Max / Agentforce 1 editions reaching $550 per user per month.
