--- pair: agentforce-vs-freddy-ai page_url: https://ai-agent.review/compare/agentforce-vs-freddy-ai record_url: https://ai-agent.review/compare/agentforce-vs-freddy-ai.md agents: [agentforce, freddy-ai] tested_performance: not-yet-tested facts_checked_at: 2026-09-20 --- # Agentforce vs Freddy AI Agent Comparing **Agentforce** (Salesforce, https://ai-agent.review/agents/agentforce.md) and **Freddy AI Agent** (Freshworks, https://ai-agent.review/agents/freddy-ai.md). Source-based review. This portal has not run a hands-on benchmark, so nothing here reports observed performance. No record contains a score, a rating or a benchmark result, and none will until the agents have actually been tested. Facts last checked 20 Sept 2026, the earlier of the two records. ## Fit comparison Each state describes what the reviewed sources establish about a workflow, not whether the product is good at it. Vendor-documented means the vendor documents the workflow. External report means a source outside the vendor discusses it. Caveat documented means a cited source describes a limitation or failure in a specific context; read it alongside any capability evidence. Not established means the reviewed sources do not settle it, which is not the same as the product being unable to do it. States are derived from the cited claims below, never stored. | Area | Agentforce | Freddy AI Agent | | --- | --- | --- | | Billing | Vendor-documented | Not established | | Orders | Vendor-documented | Not established | | Returns | Vendor-documented | Not established | | Product questions | Vendor-documented | Caveat documented | | Account issues | Vendor-documented | Not established | | Complaints | Vendor-documented | Not established | | Human handoff | Vendor-documented | Not established | | Small businesses | Not established | External report | | Mid-market | Not established | External report | | Enterprise | Vendor-documented | Not established | Evidence for each verdict is listed per agent below. ### Agentforce: fit evidence ### Billing — Vendor-documented - **Vendor capability:** Salesforce describes billing-detail and dispute actions for Agentforce for Communications. That page labels its prebuilt subagent employee-facing and includes an availability disclaimer; it does not establish an included customer-facing Service Agent billing flow. _(Vendor-reported, checked 20 Sept 2026; source: [Billing Resolution for Agentforce for Communications (Salesforce)](https://www.salesforce.com/eu/agentforce/use-cases/communications/billing-resolution/); claim id: `agentforce-billing-vendor`)_ > Illustrative scenario, not a test: explain a disputed charge from an authenticated customer’s billing records. Confirm the licensed service offering, billing connection and approval path. The employee-facing Communications example cannot establish that the general Service Agent can resolve this independently. ### Orders — Vendor-documented - **Vendor capability:** Salesforce’s Service training gives order lookup and cancellation as configurable workflow examples, with a lost-package request routed to a person. _(Vendor-reported, checked 20 Sept 2026; source: [Explore use cases for Agentforce for Service (Salesforce Trailhead)](https://trailhead.salesforce.com/content/learn/modules/agentforce-service-agent-quick-look/explore-use-cases-for-agentforce-for-service); claim id: `agentforce-fit-orders-vendor`)_ > Illustrative scenario, not a test: look up a shipment by order number and return its status. Prove customer verification and order access first; separately test cancellations, missing parcels and stale tracking. The partner demonstration listed above covers lookup, not all order support. ### Returns — Vendor-documented - **Vendor capability:** Salesforce’s architecture guide illustrates a refund chain: retrieve order details, check eligibility, call the payment gateway and update the case after confirmation. It is an implementation pattern, not a measured deployment result. _(Vendor-reported, checked 20 Sept 2026; source: [Agentic integration patterns (Salesforce Architects)](https://architect.salesforce.com/docs/architect/fundamentals/guide/agentic-integration-patterns); claim id: `agentforce-fit-returns-vendor`)_ > Illustrative scenario, not a test: request a refund within the return window. The payment connection must return confirmation before the case is closed, and retrying a request must not issue a second refund. Confirm which actions your team must implement. ### Product questions — Vendor-documented - **Vendor capability:** Salesforce documents a knowledge-answering action for questions such as return policies and warranty information. _(Vendor-reported, checked 20 Sept 2026; source: [Explore use cases for Agentforce for Service (Salesforce Trailhead)](https://trailhead.salesforce.com/content/learn/modules/agentforce-service-agent-quick-look/explore-use-cases-for-agentforce-for-service); claim id: `agentforce-fit-productq-vendor`)_ > Illustrative scenario, not a test: explain a warranty’s coverage from the approved article. Verify that the answer matches the customer’s model and region and asks for clarification when those details are missing. A knowledge source does not guarantee a correct answer. ### Account issues — Vendor-documented - **Vendor capability:** Salesforce’s Service training includes customer-detail retrieval and password-reset examples, with verification instructions and additional configuration for private actions. _(Vendor-reported, checked 20 Sept 2026; source: [Explore use cases for Agentforce for Service (Salesforce Trailhead)](https://trailhead.salesforce.com/content/learn/modules/agentforce-service-agent-quick-look/explore-use-cases-for-agentforce-for-service); claim id: `agentforce-fit-account-vendor`)_ > Illustrative scenario, not a test: help a locked-out customer recover access. Verify identity using the intended authentication flow before exposing account data or initiating a reset. Demonstrate the actual identity-provider integration, not just a helpful-sounding reply. ### Complaints — Vendor-documented - **Vendor capability:** Salesforce documents escalation of complex or sensitive Service Agent requests through Omni-Channel Flow. _(Vendor-reported, checked 20 Sept 2026; source: [Agentforce Service Agent (Salesforce Help)](https://help.salesforce.com/s/articleView?id=service.service_agent_overview.htm&language=en_US&type=5); claim id: `agentforce-complaints-vendor`)_ > Illustrative scenario, not a test: a customer objects to repeated unresolved charges. Route the case to a person with context and a clear next step. This source documents escalation, not reliable emotion detection or successful resolution of complaints. ### Human handoff — Vendor-documented - **Vendor capability:** Service Agents use configured Omni-Channel Flow routing to transfer support requests to service representatives or other destinations. _(Vendor-reported, checked 20 Sept 2026; source: [Agentforce Service Agent (Salesforce Help)](https://help.salesforce.com/s/articleView?id=service.service_agent_overview.htm&language=en_US&type=5); claim id: `agentforce-fit-handoff-vendor`)_ > Illustrative scenario, not a test: a customer asks to speak to a person. Confirm the destination queue is staffed, the conversation reaches it and the customer receives an off-hours path when nobody is available. ### Small businesses — Not established No public source was found that settles this. > Illustrative buying scenario: a small team already using Salesforce wants to answer common support questions. Assess the required setup, data access and ongoing ownership. Neither team size nor an analyst’s view of implementation skills establishes that the product will fail for this team. ### Mid-market — Not established No public source was found that settles this. > Illustrative buying scenario: a company with Salesforce support records wants order lookup connected to a separate fulfilment system. Evaluate integration effort and administrator capacity. This is a configuration and operating-model decision, not a verdict based on headcount. ### Enterprise — Vendor-documented - **Vendor capability:** Salesforce positions Agentforce for enterprise-scale support and documents building agents with its platform tools and integrations. _(Vendor-reported, checked 20 Sept 2026; source: [Agentforce platform (Salesforce)](https://www.salesforce.com/agentforce/); claim id: `agentforce-fit-enterprise-vendor`)_ > Illustrative buying scenario: a global support organisation needs customer-specific access across multiple business systems. Request evidence for permissions, routing and language coverage in that configuration. Enterprise positioning alone does not establish successful deployment. ### Freddy AI Agent: fit evidence ### Billing — Not established No public source was found that settles this. ### Orders — Not established No public source was found that settles this. ### Returns — Not established No public source was found that settles this. ### Product questions — Caveat documented - **Vendor capability:** Freshworks states that Freddy delivers answers backed by a verified knowledge base, reducing hallucinations and building customer trust. _(Vendor-reported, checked 20 Sept 2026; source: [What is an AI agent and how does it work?](https://www.freshworks.com/freshdesk/ai-agent/); claim id: `freddy-ai-kb-grounded`)_ - **Independent report of failure:** A customer reported publicly that the AI Agent reproduced knowledge base instructions inaccurately, dropping a required backslash from network drive paths so the returned instructions would not work as written. _(Independent report, published 27 Aug 2026, checked 20 Sept 2026; source: [AI Agent not displaying knowledgebase info correctly](https://community.freshworks.com/ai-bots-11359/ai-agent-not-displaying-knowledgebase-info-correctly-47188); claim id: `freddy-ai-kb-failure`)_ > Single customer report on the vendor's own public forum; scope and frequency of the defect are unknown. ### Account issues — Not established No public source was found that settles this. ### Complaints — Not established No public source was found that settles this. ### Human handoff — Not established No public source was found that settles this. ### Small businesses — External report - **Vendor capability:** Freshworks includes Freddy AI Agent with 500 sessions in its Growth plan at $19 per agent per month billed annually, the tier aimed at small teams. _(Vendor-reported, checked 20 Sept 2026; source: [Freshdesk Pricing](https://www.freshworks.com/freshdesk/pricing/); claim id: `freddy-ai-small-plan`)_ - **Independent report:** Procurement platform Vendr reports that small teams of 5 to 25 users typically spend $2,000 to $15,000 per year on Freshworks, with a median annual contract value of $15,411 across 176 deals it handled. _(Independent report, checked 20 Sept 2026; source: [Freshworks Software Pricing Guide](https://www.vendr.com/buyer-guides/freshworks); claim id: `freddy-ai-vendr-small`)_ > The Vendr contract data covers Freshworks products generally, not Freddy AI Agent in isolation; the agent is bundled into those same plans. ### Mid-market — External report - **Vendor capability:** Freddy AI Agent is included in the Freshdesk Pro plan at $55 per agent per month billed annually, which Freshworks labels its most popular tier. _(Vendor-reported, checked 20 Sept 2026; source: [Freshdesk Pricing](https://www.freshworks.com/freshdesk/pricing/); claim id: `freddy-ai-midmarket-plan`)_ - **Independent report:** Vendr reports that mid-market Freshworks buyers of 25 to 100 users typically spend $15,000 to $75,000 or more per year, and that multi-year commitments commonly yield an additional 10 to 15 percent discount. _(Independent report, checked 20 Sept 2026; source: [Freshworks Software Pricing Guide](https://www.vendr.com/buyer-guides/freshworks); claim id: `freddy-ai-vendr-midmarket`)_ > As with the small-business row, Vendr's figures describe Freshworks contracts overall rather than the AI agent line item. ### Enterprise — Not established No public source was found that settles this. ## Product information | Attribute | Agentforce | Freddy AI Agent | | --- | --- | --- | | Deployment model | Service Agents are configured in Salesforce and connected to customer channels, with a default service template or specialised templates. Confirm the required editions for the chosen agent type. (Vendor-reported, checked 20 Sept 2026) | Freddy AI Agent is delivered as part of Freshworks' hosted Freshdesk service and configured through an in-product AI Agent Studio described as an all-in-one hub to build, test, deploy, and monitor AI Agents. (Vendor-reported, checked 20 Sept 2026) | | Channels | Salesforce describes messaging, web, mobile and voice service experiences. Channel availability and setup should be checked for the specific Service Agent offering. (Vendor-reported, checked 20 Sept 2026) | The only channel named in the AI Agent rows of Freshworks' published plan comparison is email, described as an Email AI Agent that engages in back-and-forth replies, responds with the right resolution, and captures feedback. (Vendor-reported, checked 20 Sept 2026) | | Languages | The current supported-language table includes English, French, German, Japanese, Polish and others, with some additional languages marked beta. Voice support differs; use the table for the chosen channel. (Vendor-reported, checked 20 Sept 2026) | Unknown | | Help desk and CRM integrations | The reviewed deployment uses Salesforce service records and routing. External business systems can be connected through configured agent actions; this does not establish a turnkey connector for every other help desk. (Editorial assessment, checked 20 Sept 2026) | Freddy AI Agent is sold as a bundled component of the Freshdesk Growth, Pro, and Enterprise plans rather than as a separately licensed product. (Vendor-reported, checked 20 Sept 2026) | | Knowledge sources | Agentforce Data Library indexes knowledge articles, uploaded files or web sources. It requires Data 360 setup; the library must be assigned to the agent. (Vendor-reported, checked 20 Sept 2026) | Freshworks states that Freddy delivers answers backed by a verified knowledge base, and its community roundup describes a public-beta self-evaluation feature in which AI agents generate test queries to identify knowledge gaps that need to be patched with more knowledge sources. (Vendor-reported, checked 20 Sept 2026) | | Actions in backend systems | Actions can use Salesforce workflows, code and external APIs. A refund is a configured sequence with eligibility checks and payment confirmation, not a universal action available on every installation. (Vendor-reported, checked 20 Sept 2026) | A Freshworks staff member stated in the company's community AMA that the ability for AI Agents to make API calls to perform actions such as creating a ticket, creating a lead, or fetching order status was in private beta at that time, and Freshworks' pricing page separately meters MCP actions at $15 per pack of 1,000 actions. (Vendor-reported, checked 20 Sept 2026) | | Human handoff | Omni-Channel Flow routes complex or sensitive requests from the Service Agent to service representatives or another configured destination. (Vendor-reported, checked 20 Sept 2026) | Unknown | | Target customer size | Salesforce markets Agentforce for enterprise-scale support. Our editorial assessment is that existing Salesforce data, administrator capacity and integration needs are more useful selection criteria than employee count. (Editorial assessment, checked 20 Sept 2026) | Vendr reports Freshworks buyers clustering in three bands - small teams of 5 to 25 users at $2,000 to $15,000 per year, mid-market of 25 to 100 users at $15,000 to $75,000 or more, and enterprise of 100 or more users at $75,000 to $300,000 or more annually - with a median annual contract value of $15,411. (Independent report, checked 20 Sept 2026) | | Vendor-reported performance claims | Salesforce’s customer story reports about 76% of queries resolved without a human on its own Help site. This vendor-operated deployment is not a controlled comparison, and its resolution definition and workload should not be assumed equivalent to other vendors’ figures. (Vendor-reported, checked 20 Sept 2026) | In a Freshworks-published mini case study, retailer Hobbycraft is reported to have AI chatbots handling 30% of all queries, 82% of tickets resolved at first contact, and a 96% average customer satisfaction score. (Vendor-reported, checked 20 Sept 2026) | Full source links for each attribute are in the per-agent records linked above. ## Industry comparison An industry state says where the cited sources place the product, not how well it performed there. The same four states and the same rubric apply. Industry entries cite claims published in the agent's own record, by id, so a source is never stored twice and the two copies can never disagree. An industry with no entry is unknown, which is a gap in the public record rather than a finding. | Industry | Agentforce | Freddy AI Agent | | --- | --- | --- | | Retail and e-commerce | Not established | Vendor-documented | | Financial services | Not established | Not established | | Telecommunications | Not established | Not established | | Travel and hospitality | Not established | Not established | | Healthcare | Not established | Not established | | Public sector and education | Not established | Not established | | Logistics and delivery | Not established | Not established | Evidence for each industry is listed per agent below. ### Agentforce: industry evidence ### Retail and e-commerce — Not established No reviewed source places this product in this industry. ### Financial services — Not established No reviewed source places this product in this industry. ### Telecommunications — Not established No reviewed source places this product in this industry. ### Travel and hospitality — Not established No reviewed source places this product in this industry. ### Healthcare — Not established No reviewed source places this product in this industry. ### Public sector and education — Not established No reviewed source places this product in this industry. ### Logistics and delivery — Not established No reviewed source places this product in this industry. ### Freddy AI Agent: industry evidence ### Retail and e-commerce — Vendor-documented - In a Freshworks-published mini case study, retailer Hobbycraft is reported to have AI chatbots handling 30% of all queries, 82% of tickets resolved at first contact, and a 96% average customer satisfaction score. _(Vendor-reported, checked 20 Sept 2026; source: [What is an AI agent and how does it work?](https://www.freshworks.com/freshdesk/ai-agent/); claim id: `freddy-ai-vendor-metrics`)_ > A named retailer appears only in a case study Freshworks published itself. The figures are the vendor's and are not independently reported. ### Financial services — Not established No reviewed source places this product in this industry. ### Telecommunications — Not established No reviewed source places this product in this industry. ### Travel and hospitality — Not established No reviewed source places this product in this industry. ### Healthcare — Not established No reviewed source places this product in this industry. ### Public sector and education — Not established No reviewed source places this product in this industry. ### Logistics and delivery — Not established No reviewed source places this product in this industry. ## Agentforce: evidence base No independent source has been found for any fit area, so every state here rests on vendor material or nothing. Independent sources behind these verdicts: none. Verdicts across agents are not directly comparable while the evidence behind them comes from different kinds of source. See https://ai-agent.review/methodology#evidence-asymmetry. ## Freddy AI Agent: evidence base The independent evidence behind these states comes mainly from analysts and trade press. Independent sources behind these verdicts: community.freshworks.com, vendr.com. By kind: analysts and trade press (2), other independent sources (1). Verdicts across agents are not directly comparable while the evidence behind them comes from different kinds of source. See https://ai-agent.review/methodology#evidence-asymmetry. ## Corrections Factual corrections with a public source are accepted at corrections@ai-agent.review and answered within 14 days. Method: https://ai-agent.review/methodology