Intercom Fin
Fin answers customer questions and hands unresolved conversations to support staff.
Overview
- Transparency
- 6 / 10
- Trust
- 98 / 100
Trains on your data
- Free
- No
- Paid
- Yes
- Opt-out
- Yes
Incidents
1- highCompromised version of intercom-client npm package and intercom-php
Assessed SEP 21, 2026 · Checked by hand SEP 21, 2026
Fin asserts SOC 2, ISO, GDPR and HIPAA, excludes trial accounts from training, offers paid-customer training opt-out, and publishes a DPA, subprocessors and regional hosting.
Trust breakdown
98 / 100
Overall trust score
Data and privacy
Trains on your data
- Free
- No
- Paid
- Yes
- Opt-out
- Yes
On by default. Admins can turn it off, which is why it costs less than training with no way out.
Storage regions
Sub-processors
Data retention
Third-party AI providers are contractually restricted from using your data for training, with zero data retention policies in place once an output is generated.
Deletion: Upon termination or expiry of this Agreement, Intercom will (at Customer's election) delete or return to Customer all Customer Personal Data (including copies) in its possession or control.
Incidents
2026-04-30
EU Hosting Status - incident.io
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Fin utilizes a suite of proprietary models (Fin CX Model Suite) developed by Intercom's AI team, including Fin Apex 1.0, Fin Apex Flash, Fin Retrieval, Fin Reranker, Fin Issue Summarizer, Fin Feedback Parser, Fin Language Detector, and Fin Escalation Router. These models are purpose-built and fine-tuned for customer service tasks. Additionally, Fin employs multi-model resilience across third-party LLMs from OpenAI, Anthropic, and Google.
Integrations and access
Integrations
Available on
Pricing
Base Plan
$49/mo
Includes 50 outcomes. Additional outcomes are $0.99 each. Resolutions, procedure handoffs, and disqualifications are $0.99 each. Qualifications are $9.99 each.
Enterprise
Custom
Minimum commitments apply. Contact sales for more details.
Prices as listed on SEP 21, 2026; check the vendor's page.
Moat and openness
Moat
- Proprietary Model
- Proprietary Data
- Network Effects
- Switching Costmoderate
- Unique UX
- Distributionstrong
Fin demonstrates a strong moat primarily through its suite of proprietary, purpose-built AI models fine-tuned for customer experience, which likely leverage proprietary interaction data for continuous improvement. Its deep integration capabilities across various channels and existing tech stacks, combined with high resolution rates and an outcome-based pricing model, create significant value and moderate switching costs for businesses. While not having direct network effects, its comprehensive feature set and focus on enterprise solutions suggest a robust market position.
Openness
- Open model weights
- Published research
- Open source contributions
- Transparency reports
- Public safety evals
Intercom emphasizes trust and transparency in its AI products, particularly Fin. They have achieved several certifications, including AIUC-1 and ISO 42001, demonstrating their commitment to responsible AI governance, security, and data privacy. They provide customers with control over data used for AI training, offer detailed security and compliance documentation in their Trust Center, and have tools like 'Monitors' to help users understand and optimize Fin's performance. While they are transparent about their security practices and data handling, there is no indication of open-sourcing model weights or publishing general AI research beyond their product-focused blogs.
Timeline
- 2024-10Fin 2 launches on Anthropic’s Claude, with a stated 51% out-of-the-box resolution rate and 99.9% accuracy on retrieved content. It expands into multi-step reasoning, multi-language support across 45 languages, and introduces "Custom Answers".
- 2023-03Intercom launches Fin as an AI chatbot powered by OpenAI’s GPT-4, layered over its existing helpdesk.
Company
Fin
- Founded
- 2011
- HQ
- San Francisco, California, U.S.
- Site
- fin.ai
Popularity
425.5K
monthly visits
Notable customers
Fin is a leading customer agent product in a crowded field, known for its high resolution rates and outcome-based pricing model.
Value and ROI
What it should move: Fin resolves more questions at first contact and reduces resolution time.
Best fit
It fits teams that want an AI agent in their Intercom inbox.
The catch
Fin reads help content and customer conversations. Poor source material weakens answers, and the tool depends on Intercom.
- Lightspeed Commerce: Uses Fin to resolve routine support questions before they reach an agent.[1]
- Hospitable: Uses Fin to answer inbound questions from its support knowledge base.[2]
In our stacks for
References
- 01Lightspeed Commerce: how it uses Intercom FinIntercomVendor-published
- 02Hospitable: how it uses Intercom FinIntercomVendor-published
- 03Privacy policyFinVendor-published
- 04TermsFinVendor-published
- 05Acceptable useFinVendor-published
- 06Trust centerFinVendor-published
- 07Pricing pageFinVendor-published
- 08Company siteFinVendor-published
- 09SOC 2FinVendor-published
- 10Compromised version of intercom-client npm package and intercom-phpEU Hosting Status - incident.ioIndependent