The AI Trust
Gap in Support

Why leaders are still cautious about

letting AI represent their brand

We surveyed 700+ support leaders globally, and one finding stood out 
- 9 out of 10 leaders are uncomfortable with AI representing their brand directly in customer-facing interactions.

In this session, we explore where that hesitation comes from, how accountability shifts when AI is involved, and where teams should draw the line between human judgment and automation



 

Hear from a panel of distinguished CX leaders, who are figuring out how to use AI responsibly in real support operations.

Moderator

Lucas Via

SVP of Customer Success
@Hiver

We surveyed 700+ support leaders globally, and one finding stood out 
- 9 out of 10 leaders are uncomfortable with AI representing their brand directly in customer-facing interactions.

In this session, we explore where that hesitation comes from, how accountability shifts when AI is involved, and where teams should draw the line between human judgment and automation



 

Hear from a panel of distinguished CX leaders, who are figuring out how to use AI responsibly in real support operations.

Moderator

Lucas Via

SVP of Customer Success
@Hiver

Meet our panelists!

Karen 

Lam

Director of
Customer Support

@ Top Hat

Christian
Sokolowski

Vice President of Customer Support

@ Rebuy Engine

Sarah
Caminiti

Head of Business Transformation

@ SupportNinja

sarah

What you can expect to take away
from this discussion

Learn why support leaders hesitate to trust AI with their brand

Unpack the real concerns behind tone, empathy, decision-making, and brand risk

Get clarity on where AI fits in the customer experience

Understand what AI should handle behind the scenes versus where human judgment still matters most.

Understand accountability when AI is involved

See how ownership shifts when AI influences customer-facing responses and where responsibility truly lies.

Get practical guidance for brand-safe AI adoption

Take away principles to extend AI’s role in support without compromising trust or customer experience.

Inside the discussion

00:00 - 05:00

Welcome & Opening Context

Why AI adoption in support is accelerating, and why trust in letting AI represent the brand remains limited.

05:00 – 15:00

Why Support Teams Hesitate to Trust AI

The core concerns around tone, empathy, judgment, and brand risk that make teams cautious.

15:00 – 25:00

Accountability When AI Is Involved

Who owns customer-facing responses when AI drafts, suggests, or takes action, and how responsibility shifts in practice.

25:00 – 35:00

Where Support Teams Draw the Line on AI

What AI should handle behind the scenes versus where human judgment is still critical.

35:00 – 42:00

Making AI Brand-Safe in Support Operations

Practical principles to extend AI’s role without compromising trust or customer experience.

The future of customer support is AI-powered.
Closing the trust gap is what comes next.

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