← back to matrix
// under_the_hood

Intercom Fin

Conversational AI

intercom.com/fin
[ ] unclaimed

$ stack_track_scores

methodology →
Transparency
7
0–100. Disclosure breadth + source quality.
Agentic Autonomy
35
0–100. Autonomy × breadth × outcome pricing.
Buyer Risk
UNRATED
1/5 inputs disclosed
Change Velocity (90d)
24
Detected changes in the last 90 days.
scored today

$ buyer_risk_breakdown

UNRATED

Unrated — insufficient public disclosure.

Not enough public disclosure to rate yet — 4 of 5 procurement inputs are still unknown. This is a data gap, not a negative signal.

  • Compliance certifications

    No SOC 2, ISO 27001, HIPAA, or GDPR posture disclosed in our sources.

    to improve → Vendor publishes a trust/security page listing at least one certification.

  • Funding stage

    Funding stage not yet captured (may be a division of a larger public company).

    to improve → Mark parent company or public/profitable status.

  • Company age

    Founding year not yet captured.

    to improve → Add founding year to vendor profile.

  • Team size

    Team size band not yet captured.

    to improve → Add team size band (LinkedIn / vendor disclosure).

  • Data governance posture

    External processing: customer data is sent to vendor infrastructure.

    to improve → Offer a zero-copy or in-VPC deployment option.

Note — well-known brands often appear unrated because procurement-relevant fields (compliance certs, funding stage, team size band) haven't been captured yet. If you're on the Intercom Fin team, claim this profile to fill in the gaps.

$ technical_anatomy

Wrapper Status
Fine-Tuned

Customized/fine-tuned models on top of base providers.

Agent Autonomy
Semi-Autonomous

Acts within guardrails; human reviews outputs.

Data Governance
External Processing

Data is sent to vendor infrastructure for processing.

Deployment
Unknown

Where the inference pipeline runs.

Data Retention
Unknown

How long ingested data persists in vendor systems.

Last Detected Update
4 days ago

When we last detected a meaningful infrastructure change.

$ marketing_fit

Use cases
Unknown
Channels
Unknown
Output types
Unknown
Integrations
Unknown

$ commercial

Pricing model
Unknown

How customers are charged.

Pricing transparency
Unknown

Is pricing visible without sales contact?

Time to value
Unknown

How quickly customers see results.

Compliance
Unknown
Notable customers
Unknown
Customer logo count
Unknown

Public customer logos counted on vendor site.

$ company

Founded
Unknown

Year of incorporation.

Team size
Unknown

Headcount band.

Funding stage
Unknown

Latest disclosed round.

Headquarters
Unknown

Primary office location.

$ changelog --tail

  1. release_notes4 days ago
    e6790ed2760141add2b4f668
    src: Release Notesview source ↗
  2. vendor_site8 days ago
    b1d9b34b9081a229c78b3493
    src: Vendor Siteview source ↗
  3. privacy_policy9 days ago
    e6790ed2760141add2b4f668
    src: Privacy Policyview source ↗
  4. pricing19 days ago
    e6790ed2760141add2b4f668
    src: Pricing Pageview source ↗
  5. security19 days ago
    e6790ed2760141add2b4f668
    src: Security Pageview source ↗
  6. vendor_site23 days ago
    5ba94fba6ef9b1d9b34b9081
    src: Vendor Siteview source ↗
  7. vendor_site1 mo ago
    2faadf5fb5855ba94fba6ef9
    src: Vendor Siteview source ↗
  8. security1 mo ago
    24054358c319e6790ed27601
    src: Security Pageview source ↗
  9. privacy_policy1 mo ago
    24054358c319e6790ed27601
    src: Privacy Policyview source ↗
  10. release_notes1 mo ago
    24054358c319e6790ed27601
    src: Release Notesview source ↗
  11. pricing1 mo ago
    24054358c319e6790ed27601
    src: Pricing Pageview source ↗
  12. vendor_site1 mo ago
    5dd556367fe22faadf5fb585
    src: Vendor Siteview source ↗
  13. release_notes1 mo ago
    6c7e94b13f1524054358c319
    src: Release Notesview source ↗
  14. security1 mo ago
    6c7e94b13f1524054358c319
    src: Security Pageview source ↗
  15. privacy_policy1 mo ago
    6c7e94b13f1524054358c319
    src: Privacy Policyview source ↗
  16. pricing1 mo ago
    6c7e94b13f1524054358c319
    src: Pricing Pageview source ↗
  17. vendor_site1 mo ago
    3ded3d3387ce5dd556367fe2
    src: Vendor Siteview source ↗
  18. release_notes1 mo ago
    4b83ca3dab436c7e94b13f15
    src: Release Notesview source ↗
  19. security1 mo ago
    4b83ca3dab436c7e94b13f15
    src: Security Pageview source ↗
  20. privacy_policy1 mo ago
    4b83ca3dab436c7e94b13f15
    src: Privacy Policyview source ↗
  21. pricing1 mo ago
    4b83ca3dab436c7e94b13f15
    src: Pricing Pageview source ↗
  22. vendor_site1 mo ago
    6e10e77513c73ded3d3387ce
    src: Vendor Siteview source ↗
  23. release_notes1 mo ago
    25dd18ee8b224b83ca3dab43
    src: Release Notesview source ↗
  24. security1 mo ago
    9a85904260c44b83ca3dab43
    src: Security Pageview source ↗
  25. privacy_policy1 mo ago
    04cfe0df1a1a4b83ca3dab43
    src: Privacy Policyview source ↗
  26. pricing1 mo ago
    9d0bf270885e4b83ca3dab43
    src: Pricing Pageview source ↗
  27. pricing1 mo ago
    9d0bf270885e4b83ca3dab43
    src: Pricing Pageview source ↗
  28. vendor_site1 mo ago
    4fb7d6a3fb696e10e77513c7
    src: Vendor Siteview source ↗
  29. vendor_site1 mo ago
    7aa08d1067ba4fb7d6a3fb69
    src: Vendor Siteview source ↗
  30. vendor_site1 mo ago
    1489474806067aa08d1067ba
    src: Vendor Siteview source ↗
  31. vendor_site2 mo ago
    bb569c9136c4148947480606
    src: Vendor Siteview source ↗
  32. vendor_site2 mo ago
    72966685bc49bb569c9136c4
    src: Vendor Siteview source ↗
  33. vendor_site2 mo ago
    e1514700ddf372966685bc49
    src: Vendor Siteview source ↗
  34. vendor_site2 mo ago
    314cf877f5a0e1514700ddf3
    src: Vendor Siteview source ↗
  35. vendor_site2 mo ago
    6be1d615a415314cf877f5a0
    src: Vendor Siteview source ↗
  36. vendor_site2 mo ago
    70ebb652c2716be1d615a415
    src: Vendor Siteview source ↗
  37. vendor_site2 mo ago
    d4a5dd2dc19b70ebb652c271
    src: Vendor Siteview source ↗
  38. vendor_site2 mo ago
    707ee914adf6d4a5dd2dc19b
    src: Vendor Siteview source ↗
  39. privacy_policy2 mo ago
    5245cc3bf2f604cfe0df1a1a
    src: Privacy Policyview source ↗
  40. release_notes2 mo ago
    7f6c3483627c25dd18ee8b22
    src: Release Notesview source ↗
  41. vendor_site2 mo ago
    0744dccf3bea707ee914adf6
    src: Vendor Siteview source ↗
  42. release_notes2 mo ago
    25dd18ee8b227f6c3483627c
    src: Release Notesview source ↗
  43. privacy_policy2 mo ago
    04cfe0df1a1a5245cc3bf2f6
    src: Privacy Policyview source ↗
  44. vendor_site2 mo ago
    9b7f13250fe00744dccf3bea
    src: Vendor Siteview source ↗
  45. vendor_site2 mo ago
    31f49d3da3ee9b7f13250fe0
    src: Vendor Siteview source ↗
  46. vendor_site2 mo ago
    ee625416861331f49d3da3ee
    src: Vendor Siteview source ↗
  47. vendor_site2 mo ago
    7bf18af2c37aee6254168613
    src: Vendor Siteview source ↗

$ how_ai_describes_us

all drift →

Weekly capture of how Gemini and Perplexity answer questions about Intercom Fin. Hallucinations are checked against the verified facts above.

  • perplexity/sonar4 days ago[ ] not mentioned

    prompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.

    Here are **5 top AI tools for conversational AI**, chosen from recent 2026 roundups and platform comparisons:[1][4][13][20] - **Microsoft Copilot Studio** — An enterprise-focused builder for creating conversational AI assistants and automating business workflows.[1][6] - **Google Dialogflow CX** — A contact-center and flow-design platform for building structured chatbots and voice experiences at scale.[1][12][13] - **Amazon Lex** — An AWS-native conversational AI platform for developers building text and voice bots with cloud integration.[1][5][12][13] - **IBM watsonx Assistant** — An enterprise assistant platform aimed at regulated and large organizations needing configurable conversational experiences.[1][11][13] - **Rasa** — An open-source conversational AI framework for teams that want maximum control over dialogue behavior and custom bot logic.[1][9][13]

  • perplexity/sonar4 days ago[✓] mentioned

    prompt: What does Intercom Fin do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    Intercom **Fin** is Intercom’s **AI customer-service agent** that answers and resolves customer questions across channels, using a company’s support content and data to provide conversational responses and, when needed, hand off to a human agent.[1][3][15] - **What it does:** It can resolve questions directly, search relevant support content, and support omnichannel customer service across Intercom Messenger, email, WhatsApp, SMS, Facebook, and Instagram; Intercom also says it can take actions and integrate with external systems.[1][15][19] - **How it works:** Intercom describes Fin as using its AI engine and LLM-based technology to ingest support content and generate accurate answers; Intercom says it is designed to handle complex queries and improve answer quality over time.[3][6][11] - **Positioning:** Intercom markets Fin as “the best-performing AI agent for customer experience” and a product for resolving complex queries across channels.[1][7][11] **Competitors:** Fin competes with other AI customer-support / conversational AI agents such as **Zendesk AI**, **Salesforce Service Cloud AI / Einstein for Service**, **HubSpot Service Hub AI**, and helpdesk-layer AI products that automate customer support on top of existing systems.[2][8][9] Intercom’s own materials emphasize that Fin can also run on other helpdesks, which puts it in direct competition with those platforms’ native AI agents.[2][9] **Pricing model:** Intercom’s pricing page says Fin is included in Intercom plans, and Intercom also documents a standalone **Fin for platforms** option with a **$49/month base fee including 50 resolutions**, plus **$0.99 per additional resolution/outcome**.[18][19][9] **Notable customers:** Intercom says Fin is used by **12,000+ customers** and reports strong resolution rates across its customer base.[14] The sources provided do not name specific public customer logos in a reliable way, so I can only verify the broader customer-count claim from Intercom itself.[14] If you want, I can also give you a **side-by-side comparison of Fin vs Zendesk AI vs Salesforce AI**.

  • lovable_ai/google/gemini-3-flash-preview4 days ago[✓] mentioned

    prompt: What does Intercom Fin do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    **Intercom Fin** is an AI-powered customer service bot designed to resolve support inquiries automatically using a company’s existing knowledge base. ### Key Functions * **Automated Support:** Uses Large Language Models (LLMs), including OpenAI’s GPT-4, to provide natural-sounding answers to customer questions. * **Knowledge Base Integration:** Specifically pulls information from a company’s help articles, PDFs, and URLs to ensure accuracy and minimize "hallucinations." * **Human Handoff:** Automatically routes complex queries that it cannot solve to human support agents. * **Omnichannel Support:** Operates across email, web chat, and various messaging apps. ### Primary Competitors Fin competes with other AI-driven customer service platforms and "automated resolution" tools, including: * **Ada** * **Zendesk (Zendesk AI)** * **Forethought** * **Ultimate.ai** (now part of Zendesk) * **Kustomer** ### Pricing Model Intercom Fin uses a **performance-based pricing** model rather than a per-seat or per-message fee: * **Cost:** **$0.99 per "Resolution."** * **Definition of Resolution:** Intercom only charges if the AI successfully answers the customer's question and the customer does not request a human agent or provide negative feedback. * **Prerequisite:** Requires an active Intercom subscription (Starter, Pro, or Premium tiers). ### Notable Customers Fin is utilized by high-growth tech companies and enterprise organizations, including: * **Expensify** * **Canny** * **Printful** * **Descript** * **Unity**

  • perplexity/sonar18 days ago[ ] not mentioned

    prompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.

    Here are **5 top AI tools for Conversational AI** based on current 2026 platform roundups and comparison guides:[2][3][5][18] - **ChatGPT** — A leading general-purpose conversational AI with strong reasoning, customization, and multimodal capabilities, often ranked best overall for broad chatbot use.[17][18] - **Google Gemini** — A strong choice for conversational AI in Google-centric workflows, with tight integration across Google products and cloud services.[18][19] - **Microsoft Copilot Studio** — A low-code platform for building enterprise conversational agents, especially well suited to organizations already using Microsoft 365, Teams, and Azure.[3][20] - **Google Dialogflow CX** — A developer-focused conversational AI platform for designing structured chat and voice experiences, commonly used for customer service and workflow automation.[3][5][10] - **Kore.ai** — An enterprise conversational AI platform known for low-code agent creation, multichannel deployment, and workflow automation across business functions.[5][20]

  • perplexity/sonar18 days ago[✓] mentioned

    prompt: What does Intercom Fin do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    Intercom **Fin** is an AI customer service agent that answers support questions using a company’s help content, can ask clarifying questions, and hands off to a human when it cannot resolve an issue; Intercom says it is built for customer experience and can operate across channels such as chat, email, and phone.[1][13][14] It is also positioned beyond support: Intercom describes Fin as able to handle **service**, **sales**, and **ecommerce** conversations, including qualifying leads, booking meetings, and guiding purchases.[14] Intercom says Fin is powered by large language models including **GPT-4** plus Intercom’s own technology, and that it can resolve a large share of support issues with grounded answers from existing support content.[2][6][12] **Competitors** - The most direct competitors are other **AI customer support / customer service agent** products, especially **Inkeep** in the support-agent niche.[17] - More broadly, Fin competes with AI agents and chatbot features from helpdesk and customer-experience platforms, because Intercom markets Fin as a customer-facing AI layer that can sit on top of support workflows and helpdesks.[3][5][9] **Pricing model** - Intercom lists Fin under its broader **Intercom pricing/plans** page, which suggests it is sold as part of the Intercom platform rather than as a standalone consumer product.[20] - The pricing details in the provided results do **not** show a public fixed price for Fin itself, and the most specific pricing language available here indicates it is tied to Intercom’s commercial plans rather than a simple one-off license.[20] **Notable customers** - The search results provided do **not** name any Fin customers directly. - Intercom claims Fin is used by **6,000+ customers** in a comparison source, but that result does not identify those customers by name.[17] If you want, I can also turn this into a **competitor-by-competitor comparison table** for Fin versus Inkeep, Zendesk AI, Salesforce Agentforce, and Ada.

  • lovable_ai/google/gemini-3-flash-preview18 days ago[✓] mentioned

    prompt: What does Intercom Fin do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    **Intercom Fin** is an AI-powered customer service bot designed to resolve support inquiries automatically by crawling a company’s existing knowledge base and help articles. ### Core Functionality * **Automated Resolutions:** It uses Large Language Models (LLMs), including OpenAI’s GPT-4, to provide conversational answers to customer questions. * **Knowledge-Based:** Unlike traditional chatbots that require manual flow building, Fin generates answers based strictly on the content provided in a company's documentation to minimize hallucinations. * **Omnichannel Support:** It operates across email, WhatsApp, SMS, and Intercom’s messenger. * **Human Handoff:** It automatically routes complex queries that it cannot solve to human support agents. ### Competitors Fin competes in the customer service automation and conversational AI space against: * **Ada:** An enterprise-level automated customer service platform. * **Zendesk (Answer Bot/Zendesk AI):** The built-in AI suite for Intercom’s primary CRM rival. * **Kustomer (Kustomer IQ):** An AI-integrated CRM for service. * **Forethought (SupportGPT):** An AI layer that sits atop existing help desks. * **Ultimate.ai:** A specialized automation platform for high-volume support. ### Pricing Model Intercom uses a **performance-based pricing** model for Fin: * **Cost:** **$0.99 per Resolution.** * **Definition of Resolution:** A "resolution" occurs when Fin provides an answer and the customer does not request a human agent or close the conversation with a negative rating. * **Prerequisite:** A base Intercom subscription is required to use Fin. ### Notable Customers Intercom's AI tools are used by a range of tech-forward companies, including: * **OpenAI** (Intercom provides their support interface) * **ClickUp** * **Expensify** * **Printful** * **Unity**

$ pricing_receipts

all receipts →

Weekly snapshot diff of Intercom Fin's pricing page. Tiers extracted with AI, compared against the prior week.

$ buyer_panel_verdict

full panel →

Synthetic buyer panel (CMO + RevOps + IT + Procurement) ranks Intercom Fin against the Conversational AI category. Grounded in disclosed facts only.

#623/100

Intercom Fin shares the last position, reflecting its 'semi_autonomous' agentic level and the same critical information voids across all other criteria, making it an equally risky and opaque choice compared to its direct competitors.

strengths
  • +No strengths can be identified from the provided disclosures.
weaknesses
  • Scored lower due to its 'semi_autonomous' agentic designation.
  • Provides no details on pricing, a key procurement concern.
  • Lacks any information on integrations, a critical failure for RevOps.
  • Offers no compliance or data retention information for IT/Security.

$ sources --all

Every claim above links to its origin. Nothing here is inferred without a citation; missing fields are marked Unknown rather than guessed.

No sources cited yet. Admins can attach citations from the admin panel.