Customer support · Production

Anthropic achieves 50.8% AI resolution rate in first month with Intercom's Fin

The problem

Anthropic needed to deliver highly tailored support at scale across a diverse customer base — from free consumer users to enterprise API customers — while also managing sharp spikes in support volume driven by rapid product releases.

Workflow diagram · grounded in source

Knowledge base content prep

ai_action

“we were able to use Claude to generate new snippets and restructure macros, ensuring Fin delivered accurate, thoughtful responses from day one”

Customer query arrives

trigger

“Fin is involved in almost all customer conversations across both email and the Messenger”

Fin resolves queries autonomously

ai_action

“50.8% resolution rate: More than half of all customer queries are now resolved by AI, up from 36% at launch”

Complex queries routed to human agents

routing

“freeing up our team to spend extra time with our enterprise and power user customers that often have more complex questions that need more investigation”

Unanswered questions optimization

feedback_loop

“built-in features like its "unanswered questions" report to pinpoint areas for improvement and ensure Fin was always delivering up-to-date, relevant answers”

Hackathon content refinement

human_review

“our specialists reviewed and reorganized snippets, updated help center articles, and identified content gaps. That led to us doubling the number of available snippets, and increasing Fin's resolution rate by 5.5% in just one week”

Reported outcome

Within about one month of deploying Fin, Anthropic achieved a 50.8% resolution rate (up from 36% at launch), a 96% Fin involvement rate, resolved tens of thousands of customer queries, and saved over 1,700 hours of team time.

Reported metrics

AI resolution rate50.8%

Resolution rate at launch (baseline)36%

Fin involvement rate96%

Team time saved in first monthover 1,700 hours

Show all 8 reported metrics

AI resolution rate50.8%

Resolution rate at launch (baseline)36%

Fin involvement rate96%

Team time saved in first monthover 1,700 hours

Resolution rate increase after hackathon5.5%

Customer queries resolved in first monthtens of thousands

Response timesoverall decreases in response times

Available snippets after hackathondoubling the number of available snippets

Reported stack

FinClaudeIntercom's help center

Source

https://www.intercom.com/customers/anthropic

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Within about one month of deploying Fin, Anthropic achieved a 50.8% resolution rate (up from 36% at launch), a 96% Fin involvement rate, resolved tens of thousands of customer queries, and saved over 1,700 hours of te…

What tools did this team use?

Fin, Claude, Intercom's help center.

What results were reported?

AI resolution rate: 50.8%; Resolution rate at launch (baseline): 36%; Fin involvement rate: 96%; Team time saved in first month: over 1,700 hours (source-reported, not independently verified).

How is this customer support AI workflow structured?

Knowledge base content prep → Customer query arrives → Fin resolves queries autonomously → Complex queries routed to human agents → Unanswered questions optimization → Hackathon content refinement.