--- pair: ada-vs-freddy-ai page_url: https://ai-agent.review/compare/ada-vs-freddy-ai record_url: https://ai-agent.review/compare/ada-vs-freddy-ai.md agents: [ada, freddy-ai] tested_performance: not-yet-tested facts_checked_at: 2026-09-20 --- # Ada vs Freddy AI Agent Comparing **Ada** (Ada, https://ai-agent.review/agents/ada.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 | Ada | 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. ### Ada: fit evidence ### Billing — Vendor-documented - **Vendor capability:** Ada lists billing and payment questions among its email workflows, using information retrieved from connected business systems. _(Vendor-reported, checked 20 Sept 2026; source: [AI customer service agents for email (Ada)](https://www.ada.cx/platform/email/); claim id: `ada-billing-email-inquiry-list`)_ > Illustrative scenario, not a test: explain a duplicate charge using the customer’s payment records. Ada documents billing inquiries; verify identity checks, access to the payment system and the route for a disputed charge. Answering a question and reversing a payment are separate operations. ### Orders — Vendor-documented - **Vendor capability:** Ada documents API-driven order-status lookups, so live order answers depend on connecting the order system. _(Vendor-reported, checked 20 Sept 2026; source: [Key concepts (Ada docs)](https://docs.ada.cx/docs/welcome/key-concepts); claim id: `ada-fit-orders-vendor`)_ > Illustrative scenario, not a test: retrieve shipment status for a customer’s order and give the carrier’s tracking link. Validate customer ownership, missing orders and stale tracking data. A lookup does not demonstrate that lost parcels are resolved. ### Returns — Vendor-documented - **Vendor capability:** Ada describes returns workflows that check order eligibility, offer permitted options and create a return label through connected systems. _(Vendor-reported, checked 20 Sept 2026; source: [AI customer service agent for ecommerce and retail (Ada)](https://www.ada.cx/industry/ecommerce/); claim id: `ada-returns-ecommerce-page`)_ > Illustrative scenario, not a test: check whether an unopened item is inside the return window, then request a label from the order system. Confirm the label was created before saying the return is arranged, and route policy exceptions to a person. ### Product questions — Vendor-documented - **Vendor capability:** Ada uses imported knowledge to answer questions; its documentation explains that relevant passages are retrieved from that content. _(Vendor-reported, checked 20 Sept 2026; source: [Knowledge setup (Ada docs)](https://docs.ada.cx/docs/knowledge/core-workflows/knowledge-setup); claim id: `ada-fit-productq-vendor`)_ > Illustrative scenario, not a test: answer whether a product works with a specific phone model from the compatibility guide. Check that the reply uses the correct product version and asks for missing details instead of inventing compatibility. ### Account issues — Vendor-documented - **Vendor capability:** Ada documents account updates through external APIs and sign-in tokens for sensitive actions. _(Vendor-reported, checked 20 Sept 2026; source: [Key concepts (Ada docs)](https://docs.ada.cx/docs/welcome/key-concepts); claim id: `ada-fit-account-vendor`)_ > Illustrative scenario, not a test: update the signed-in customer’s contact details through an authorised account API. Verify that another customer’s records cannot be changed and that failed updates are not reported as complete. ### Complaints — Vendor-documented - **Vendor capability:** Ada documents routing to human support based on conversation context and configured handoff descriptions. _(Vendor-reported, checked 20 Sept 2026; source: [Handoff management (Ada docs)](https://docs.ada.cx/docs/handoffs/handoff-management); claim id: `ada-complaints-handoff-vendor`)_ > Illustrative scenario, not a test: a customer says repeated delivery problems remain unresolved. Configure a route to the complaints team with the case details. Routing is documented; the reviewed sources do not measure successful complaint resolution or de-escalation. ### Human handoff — Vendor-documented - **Vendor capability:** Ada documents live transfers, follow-up tickets, off-hours paths and error fallbacks across its handoff setup. _(Vendor-reported, checked 20 Sept 2026; source: [Handoff management (Ada docs)](https://docs.ada.cx/docs/handoffs/handoff-management); claim id: `ada-fit-handoff-vendor`)_ > Illustrative scenario, not a test: a customer requests a person after an unsuccessful answer. Verify that the receiving team gets the conversation and that, outside working hours, the customer receives a clear follow-up path. ### Small businesses — Not established No public source was found that settles this. > Illustrative buying scenario: a small shop needs only shipping FAQs and occasional order lookups. Ask Ada to demonstrate that limited scope and the work needed to maintain it. Demo-led procurement does not establish that every small business is a poor fit. ### Mid-market — Not established No public source was found that settles this. > Illustrative buying scenario: a growing retailer wants email and chat support connected to an existing help desk. Evaluate the exact connectors, workflow ownership and conversation volume. Employee count alone does not establish suitability. ### Enterprise — Vendor-documented - **Vendor capability:** Ada’s demo page explicitly targets enterprise customer-experience teams and proposes a tailored demonstration and implementation plan. _(Vendor-reported, checked 20 Sept 2026; source: [Book a demo (Ada)](https://www.ada.cx/demo/); claim id: `ada-fit-enterprise-vendor`)_ > Illustrative buying scenario: a multi-brand support team needs shared knowledge with brand-specific policies and handoff routes. Request a demonstration of those boundaries. Enterprise positioning is documented; successful performance for that configuration is not established here. ### 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 | Ada | Freddy AI Agent | | --- | --- | --- | | Deployment model | Ada documents setup through its dashboard and a website or mobile chat integration, with connected knowledge and configured workflows. (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 | Chat, voice, email and social messaging are documented. Voice and social connections use supported external platforms; confirm the intended channel integration. (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 | 60 languages are documented for messaging and email; voice supports a subset. English remains the fallback language. (Vendor-reported, checked 20 Sept 2026) | Unknown | | Help desk and CRM integrations | The integrations directory includes Zendesk, Salesforce, ServiceNow, Freshworks, Genesys and Help Scout. Check each entry for knowledge, messaging, email or voice support. (Vendor-reported, 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 | Knowledge can come from help centres, websites, articles created in Ada and custom sources through the Knowledge API. (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 | API tools, formerly called Actions, retrieve or send data through configured endpoints. Playbooks and Processes organise those calls into workflows. (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 | Configured live transfers or follow-up tickets, with off-hours and error paths. Up to five active handoff configurations are documented. (Vendor-reported, checked 20 Sept 2026) | Unknown | | Target customer size | Ada presents an enterprise-focused sales process with a tailored demonstration and implementation plan. This positioning does not establish a minimum viable company size. (Vendor-reported, 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 | Ada reports that Dott’s automated resolution increased from 32% to 77% after adopting Ada and connecting backend automations. This is one customer’s vendor-published result, not a platform-wide average or a comparable benchmark. (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 | Ada | Freddy AI Agent | | --- | --- | --- | | Retail and e-commerce | Vendor-documented | 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. ### Ada: industry evidence ### Retail and e-commerce — Vendor-documented - Ada describes returns workflows that check order eligibility, offer permitted options and create a return label through connected systems. _(Vendor-reported, checked 20 Sept 2026; source: [AI customer service agent for ecommerce and retail (Ada)](https://www.ada.cx/industry/ecommerce/); claim id: `ada-returns-ecommerce-page`)_ > Ada's own retail and ecommerce page is the only source placing the product here. It describes returns workflows against connected commerce systems; no independent report of a retail deployment was found. ### 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. ## Ada: 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