# Patched vs Salesforce Agentforce (formerly Einstein)

Patched records 3,111 monthly visits with +30% month-over-month growth and Paid, Contact for Pricing pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [Patched](https://openaitools.app/tool/patched) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://patched.codes | https://www.salesforce.com/agentforce/ |
| Categories | AI Workflow, AI Developer Tools, AI Agent, Large Language Models (LLMs) | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Paid, Contact for Pricing | Freemium |
| Monthly Visits | 3,111 | 111,910,743 |
| MoM Growth Rate | +30% | +2.2% |
| Primary Market | United States | United States |
| Direct Visits | 1,226 | 60,741,009 |
| Review Score | 4.1 | 4.4 |
| Saved Count | 1 | 20 |
| Supported Platforms | Website | Website |

## Patched

Patched positions itself differently from workflow orchestration tools: the pitch is execution, not orchestration. Teams describe a process, and Patched is meant to run it end to end, handling judgment-heavy and ambiguous cases that normally stall in a queue. The vendor reports throughput figures such as hundreds of thousands of workflows executed monthly, sub-hour average turnaround and resolution rates above 80 to 90 percent across published use cases.

The platform is aimed squarely at compliance-sensitive environments. It advertises compliant-by-design deployment on dedicated infrastructure, full auditability, SLA ownership and SOC 2 compliance, with named use cases in fraud and risk, banking customer operations and reconciliation. Because these teams cannot simply ship data to a shared public endpoint, the emphasis on isolated infrastructure and evidence trails is central to the offer.

Commercial terms are engagement-led: pricing scales with operational volume and prospects start by bringing their hardest workflow to a scoping call. The site is run by Patched Codes, Inc. and presents logos of publicly listed enterprises as references. Onboarding is quoted in weeks, with the vendor claiming operational deployment in roughly two to five weeks depending on the workflow.

**Pricing & Plans:** Pricing scales with operational volume and is quoted per engagement; the company asks prospects to book a call and start with their hardest workflow. No self-serve tier or public price list is shown on the homepage, and the pricing page is not publicly accessible to crawlers.

- **End-to-end workflow execution:** Patched takes a described process and runs it to completion, rather than producing outputs for a human to assemble and finish.
- **Auditability and compliance controls:** Systems are deployed on dedicated infrastructure with auditing built in, targeting regulated industries where evidence and traceability are mandatory.
- **SLA ownership:** The vendor takes responsibility for outcomes and resolution metrics, not just for keeping a system running.
- **Fraud and risk resolution:** Purpose-built for manual investigation backlogs, high false-positive rates and deadline pressure, with published case metrics from customer deployments.
- **Reconciliation and banking operations:** Handles cross-system referencing and zero-error-margin reconciliation work as well as high-volume banking customer requests.

**Strengths:** Focuses on completing regulated work end to end rather than selling another orchestration canvas; Compliance-first design with dedicated infrastructure and full auditability; Vendor accepts SLA ownership for outcomes, not just uptime; Published throughput and resolution metrics for specific operational use cases

**Limitations:** Pricing is not published and requires a sales conversation, which slows evaluation; No self-serve signup or free tier for hands-on testing; Deployments are quoted in weeks, so it is not an instant-solution tool

[Profile (Markdown)](https://openaitools.app/tool/patched.md)

## Salesforce Agentforce (formerly Einstein)

Originally launched as Salesforce Einstein for predictive CRM scoring and later Einstein Copilot for conversational assistance, Salesforce's flagship AI platform is now led by Agentforce. Built natively into the Salesforce Platform and grounded in unified enterprise data via Data 360 (formerly Data Cloud), Agentforce moves beyond rigid decision-tree chatbots and passive text generators to deploy autonomous AI agents capable of reasoning through multi-step problems and executing real business actions around the clock.

At the core of the platform is the Atlas Reasoning Engine, which evaluates incoming customer requests or system triggers, retrieves verified context from CRM records and external APIs, formulates an execution plan, and invokes Salesforce Flows, Apex classes, MuleSoft connectors, or verified Model Context Protocol (MCP) servers. In 2026, Salesforce expanded the platform with Long-Horizon Runtime—enabling agents to pursue multi-day workflows with human-in-the-loop oversight—alongside Multi-Agent Orchestration, Agentforce Voice for natural phone interactions beyond legacy IVR, and Agent Optimizer for real-time observability.

Organizations can launch pre-built role agents in clicks using the low-code Agent Builder or customize deterministic logic with Agent Script. Out-of-the-box roles include Customer Service Agents, autonomous Sales Development Representatives (SDRs) that qualify leads and book meetings, Sales Coaches for interactive deal role-play, Commerce Personal Shoppers, and Employee Coworker agents embedded directly inside Slack and Salesforce clouds.

**Pricing & Plans:** Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

- **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.
- **Pre-Built Role Agents & Agent Optimizer:** Deploy ready-made Service, SDR, Sales Coach, Buyer, and Merchandiser agents out of the box, then monitor resolution accuracy and bottlenecks in near real time with Agent Optimizer.

**Strengths:** 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.; 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.

[Profile (Markdown)](https://openaitools.app/tool/salesforce-einstein.md)

## Frequently Asked Questions

### How do Patched and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

Patched has 3,111 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Patched has a month-over-month growth rate of +30%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Patched: Paid, Contact for Pricing. Pricing scales with operational volume and is quoted per engagement; the company asks prospects to book a call and start with their hardest workflow. No self-serve tier or public price list is shown on the homepage, and the pricing page is not publicly accessible to crawlers. Salesforce Agentforce (formerly Einstein): Freemium. Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | Exceptional customer support and helpdesk workflow automation, but less suited for broad enterprise CRM and sales execution. | [.md](https://openaitools.app/tool/intercom-com.md) |
| 4 | [Gong – Revenue AI OS](https://openaitools.app/tool/gong-io) | 2,337,769 | +3% | Contact for Pricing | Superior revenue intelligence and call analytics, but specialized for sales insights rather than general agentic workflow automation. | [.md](https://openaitools.app/tool/gong-io.md) |
| 5 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Visual no-code builder for custom AI agents, but lacks Salesforce's native enterprise data connectors and CRM structure. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 6 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | Modern customizable CRM with built-in AI agents, but lacks the massive enterprise ecosystem and scale of Salesforce. | [.md](https://openaitools.app/tool/attio.md) |
| 7 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 8 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | AI agents that run recurring business work for your team | [.md](https://openaitools.app/tool/creao.md) |
| 9 | [Chatbase](https://openaitools.app/tool/chatbase) | 396,383 | -7% | Freemium, Paid | Simple no-code AI chatbot deployment, but less equipped for complex enterprise-grade CRM automation and multi-system agents. | [.md](https://openaitools.app/tool/chatbase.md) |
| 10 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |

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Source: https://openaitools.app/compare/patched-vs-salesforce-einstein

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
