AI for Customer Support Teams: Faster and Kinder

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

AI for Customer Support Teams: Faster and Kinder

In one focused day, your support team goes from juggling tabs to answering with an AI knowledge assistant trained on your own help docs and policies. We open with a free discovery call to find the questions that eat your queue, then spend four hands-on hours building that assistant and faster reply workflows on your real content. Using a RAG approach, the assistant returns accurate answers with the source attached rather than made-up replies, and your team learns to keep it current as your product and docs change. By the end of the day each agent has solved a real ticket with the new workflow.

Beyond the assistant, your team uses Claude and careful prompt engineering to draft warm, on-brand replies in a fraction of the time, while staying in control of every send. You learn to read what the queue is telling you, turn repeat tickets into better docs, and apply light automation so people spend their care on the hard cases. You leave with a support playbook of prompts, reply workflows, and a shortlist of the next tasks worth automating.

What you’ll learn

Your team answers faster and kinder, with an AI knowledge assistant trained on your own help docs.

  • Build a knowledge assistant on your own help docs and policies

  • Get accurate answers with the source, not made-up replies

  • Keep the assistant current as your product and docs change

  • Draft warm, on-brand replies in a fraction of the time

  • Handle common tickets with a workflow instead of from scratch

  • Free your team to spend more care on the hard cases

  • Spot the questions that come up again and again

  • Turn repeat tickets into better docs and fewer contacts

  • A shortlist of the next support tasks worth automating

Workshop agenda

  • Before the day: Discovery call (1 hour, free)

    We meet your team, look at your help docs and busiest tickets, and tailor the day to your tools and tone.

  • Hour 1: Where AI helps support

    The mental model for support AI, where it speeds you up, and where a human still has to answer.

  • Hour 2: Build your knowledge assistant

    We point AI at your own help docs and build an assistant that answers from your real content, live.

  • Hour 3: Faster, kinder replies

    Build reply workflows that draft warm, on-brand answers and keep your team in control of the send.

  • Hour 4: Capstone build

    Each agent solves a real ticket with the new workflow, then shares it with the room.

  • After the day: Office hour

    A follow-up session to unblock the team as they put the assistant into the live queue.

Learn directly from Aki & Manu

Aki Wijesundara

Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

Google
Meta
OpenAI
Amazon Web Services
NVIDIA
Manu Jayawardana

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

See all products from TAI

Who this workshop is for

  • Support leads who want a faster queue without losing the human touch.

  • Support agents tired of retyping the same answers all day.

  • Heads of CX who want quicker, warmer replies the whole team can trust.

What's included

Live sessions

Learn directly from Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.

Free 1-hour discovery call

We tailor the day to your help docs, tools, and busiest tickets before we begin.

4 hours of hands-on building

Live work on your own docs and real tickets, not generic demos.

A working knowledge assistant

Your team builds an assistant that answers from your real content by end of day.

A support AI playbook

The prompts, reply workflows, and next steps to keep going after we leave.

Follow-up office hour

We unblock the team as they put the assistant into the live queue.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Testimonials

  • Engineers improved the real systems they ship every day, and left with production-ready Claude integrations and a reusable AI playbook.
    Testimonial author image

    WireApps

    AI-first engineering agency, 50+ engineers. Six-week cohort.
  • In a single on-site day, Product, Ops, Design and Engineering each shipped a working build on their own real data, using Claude Code and MCP.
    Testimonial author image

    Modern Health

    Global mental health platform (Lyft, EA, Ancestry). On-site workshop.
  • A two-day cohort delivered 5x faster listing throughput and 14 production tools shipped on the team's own systems.
    Testimonial author image

    MPB

    The world's largest used-camera marketplace. Two-day cohort.
  • Over a five-day cohort the team shipped 8 client-ready automations and lifted operator output 2.5x.
    Testimonial author image

    Type B Digital

    Strategy consultancy. Five-day cohort.
  • I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.

    Testimonial author image

    Aamir Faaiz

    CEO of Bayseian
  • The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.

    Testimonial author image

    Kavi T.

    CEO of Tilli Kids / Stanford PhD

Frequently asked questions

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