You will get a higher Intercom Fin resolution rate, tuned by a support leader
Project details
Most people configuring Intercom Fin have never run a support queue. I have, for over 10 years, and I build the AI side myself. So I tune Fin the way an operator actually needs it: resolution rates that hold up, a knowledge base that genuinely deflects, and clean handoffs to a human the moment the bot should step aside.
What I do:
• Audit your current Fin setup and knowledge base, and find where resolution is leaking
• Raise resolution rate by tuning answers and closing knowledge-base gaps
• Design escalation and human-handoff rules so customers never get stuck with a bot
• Measure before and after, so you can see the lift instead of taking it on faith
You end up with a working, optimized Fin agent and a plain view of what changed and why. Start with an audit sprint to see how I work, then scale up from there.
What I do:
• Audit your current Fin setup and knowledge base, and find where resolution is leaking
• Raise resolution rate by tuning answers and closing knowledge-base gaps
• Design escalation and human-handoff rules so customers never get stuck with a bot
• Measure before and after, so you can see the lift instead of taking it on faith
You end up with a working, optimized Fin agent and a plain view of what changed and why. Start with an audit sprint to see how I work, then scale up from there.
Project Type
Virtual Assistance, Customer SupportWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
About John
Support Leader Who Builds AI | Intercom Fin, Zendesk AI, Claude API
Los Angeles, United States - 5:40 am local time
That combination is rare here. Most people configuring Fin or a support chatbot have never owned a queue, a CSAT number, or an escalation path. I run all three at my day job, so I set up AI support the way an operator needs it to run, with resolution rates that hold up and clean handoffs when the bot should step aside.
Outside the day job I've shipped real products with this stack: a subscription iOS app live on the App Store with paying customers, a paid support-operations audit tool with live Stripe billing, and automated data pipelines that refresh and publish weekly on their own. Built hands-on with the Claude API, Cloudflare Workers, and Make.
What I do here:
- Intercom Fin setup and optimization: knowledge-base tuning, resolution-rate improvement, handoff and escalation design
- Zendesk setup and AI automation: triage, routing, macros, SLAs, views, dashboards
- Custom AI support agents and chatbots on the Claude API
- Support workflow automation with Make or n8n: ticket routing, QA sampling, reporting
I like starting with a small fixed-scope audit or sprint, so you can see how I work before committing to a bigger build.
Steps for completing your project
After purchasing the project, send requirements so John can start the project.
Delivery time starts when John receives requirements from you.
John works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff and access
The top 3 question types or issues you most want Fin to handle better, and any target you have in mind, like a resolution rate or CSAT number if you track one.
Audit
I map your current Fin setup, knowledge base, and recent conversations to find exactly where resolution is leaking and what to fix first.