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San Diego 2024

AI Customer Support with Richpanel, Thinx, and perfectwhitetee

Amit RG, Johnny Hickey, and Alice Warren discuss support overload, automation, and implementing AI in customer operations. For teams trying to scale service without adding unnecessary friction.

Amit RG · Johnny Hickey · Alice WarrenSeptember 202432 MIN WATCH

Watch it. Put it to work.

ABOUT THIS SESSION

Identify the workflow that breaks under volume.

Amit RG, Johnny Hickey, and Alice Warren discuss support overload, automation, and implementing AI in customer operations. For teams trying to scale service without adding unnecessary friction.

For ecommerce founders, marketers, and operators working on customer experience & ai.

Speakers
Amit RG
CEO, Richpanel
Johnny Hickey
CMO, perfectwhitetee
Alice Warren
VP of Consumer Intelligence, Thinx
Recorded at
San Diego 2024 ↗
September 2024

Speaker roles and platform examples reflect the session’s original context. This is an archived conversation.

TAKE IT BACK TO YOUR DESK

Ideas to put to work.

  1. 01

    Identify the workflow that breaks under volume

    Support systems are tested when inquiries arrive faster than a team can respond.

    Read this part · 01:33 ↓
  2. 02

    Apply AI to a defined service problem

    Automation is most useful when connected to a specific source of friction.

    Read this part · 06:26 ↓
  3. 03

    Plan for adoption as well as capability

    Implementing a tool changes how the team works.

    Read this part · 21:20 ↓
READ THE SESSION

The edited transcript.

A condensed, edited reading version based on the YouTube captions and session chapters. Repetition and unclear audience audio have been removed; the discussion is paraphrased for clarity, rather than presented as a verbatim transcript. Timestamps refer to the original video.

Original recording on YouTube ↗
01:33

Identify the workflow that breaks under volume

Support systems are tested when inquiries arrive faster than a team can respond. Johnny describes handling hundreds of emails during a shipping issue, including the limits of working from a regular inbox and spreadsheets. The story establishes the operational problem before the panel discusses automation.

06:26

Apply AI to a defined service problem

Automation is most useful when connected to a specific source of friction. The panel discusses scaling support and implementing AI within existing operations. Their examples focus on the work customers and teams need completed, rather than treating AI adoption itself as the outcome.

21:20

Plan for adoption as well as capability

Implementing a tool changes how the team works. The speakers discuss challenges, benefits, and future opportunities after considering use cases such as social moderation. The conversation connects technology decisions with workflows and the customer experience the business is trying to provide.

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