How We Reduced Customer Support Tickets by 43% Using AI Onboarding Flows

How We Reduced Customer Support Tickets by 43% Using AI Onboarding Flows

An infographic showing a headset icon, a red downward arrow labeled “43%,” and an AI interface screen, illustrating how AI onboarding flows reduced customer support tickets.

By early 2024, our product team had a problem.
We were growing — but so were our support tickets.
And worse: most were basic.
“How do I reset my password?”
“Where do I find analytics?”
“Why is my dashboard empty?”

So we built something different.

We replaced our traditional onboarding emails with an AI-powered onboarding flow — and the results were immediate.


What We Used

We combined:

  • Intercom bots

  • AI-based triggers based on behavior

  • In-product checklists

  • Video prompts via Loom

  • Auto-tagged FAQs

We called it “Just-in-time onboarding.”


The 3-Week Setup

Week 1: Audit top 100 support questions
Week 2: Map user journey + trigger points
Week 3: Set up AI flows with fallback to live support


The Result: -43% Tickets in 30 Days

✅ New users completed setup 2.4x faster
✅ NPS scores up 18 points
✅ 43% fewer tickets in Intercom inbox

Even better? Our team stopped writing long documentation — and started recording one-click video replies instead.


The 3 AI Plays That Worked

  1. Behavior-based trigger messages
    → If a user pauses > 30s on “Create project,” auto-show a Loom video

  2. Auto-suggested support
    → GPT-based bots scanning query and suggesting doc+video

  3. In-product checklist with AI fallback
    → Users could always “Ask AI” next to every step


The Biggest Lesson?

AI isn’t replacing support.
It’s replacing bad onboarding.

And that changes everything.


Want Our Full Onboarding Flow?

Drop your email — we’ll send:

  • Our full Intercom + AI setup

  • Video script templates

  • Conversion checklist for product onboarding

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