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Brock Thompson spent 22 years in digital insurance and financial services, starting as a call center agent and eventually becoming VP of Customer Fulfillment at LendingTree, where he oversees inbound and outbound calls, SMS programs, calls technology, and the company's AI voice division. Having sat on both sides of the phone shapes how he thinks about where technology belongs in high-stakes consumer conversations.
In this episode, he gets specific about how LendingTree built and justified their first consumer-facing AI voice product, how they brought skeptical call teams along, and why their approach to AI adoption looks more like a marathon than a sprint.
Topics Discussed:
The three-part "stickiness" framework: emotional, technological, and financial
Starting the AI business case with one linear, fully measurable conversation path
"Gut drives the test, data drives the decision" as a buying and build philosophy
Why legal and compliance are the first call, not the last, in any AI rollout
The means, motive, and opportunity framework for training human agent empathy
Where human agents still outperform AI in financial services conversations
Reframing AI to call teams as reallocation of effort, not elimination of roles
Evaluating vendors by whether they understand your actual problem, not just their product
The rule of one: prove it once, measure it once, then scale
Listen to more episodes:
Apple
Spotify
YouTube
By Level AIBrock Thompson spent 22 years in digital insurance and financial services, starting as a call center agent and eventually becoming VP of Customer Fulfillment at LendingTree, where he oversees inbound and outbound calls, SMS programs, calls technology, and the company's AI voice division. Having sat on both sides of the phone shapes how he thinks about where technology belongs in high-stakes consumer conversations.
In this episode, he gets specific about how LendingTree built and justified their first consumer-facing AI voice product, how they brought skeptical call teams along, and why their approach to AI adoption looks more like a marathon than a sprint.
Topics Discussed:
The three-part "stickiness" framework: emotional, technological, and financial
Starting the AI business case with one linear, fully measurable conversation path
"Gut drives the test, data drives the decision" as a buying and build philosophy
Why legal and compliance are the first call, not the last, in any AI rollout
The means, motive, and opportunity framework for training human agent empathy
Where human agents still outperform AI in financial services conversations
Reframing AI to call teams as reallocation of effort, not elimination of roles
Evaluating vendors by whether they understand your actual problem, not just their product
The rule of one: prove it once, measure it once, then scale
Listen to more episodes:
Apple
Spotify
YouTube