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Beyond Heroism: Building Operational Leverage with AI
Tom is joined by Marc Friend, CEO of Sift, a machine learning-powered fraud prevention platform that recently crossed $100M in revenue. Marc shares how he's restructuring the business to move from individual acts of heroism to true operational leverage — and what that requires at the organizational level. He breaks down how Sift thinks about fraud as a revenue enablement problem, not just a defensive one, and why agentic commerce is the next frontier no one has fully figured out yet. Marc reflects on how his background as an MIT systems engineer and 13-year VC shaped the way he architects companies and spots patterns worth replicating.
Guest quotes:
"You have to turn best practices into processes that are written down, so that when I say them and someone hears them, they're the same. Then you have to build a cadence around which you operate."
"When I come back to a merchant and say, I didn't authorize my agent to do that — that's a kind of fraud that we don't think about so much. Who's gonna take the risk of that is not decided."
"People are a lot more resilient than we give them credit for, and we are able to drive people much harder and further than they think they can go. People want to be challenged."
Links & Resources:
Connect with Tom Gavaghan
Connect with Marc Friend
Learn more about Kyriba
Learn more about Gen
YouTube Timestamps:
00:00 Show Intro and Guest Overview
00:25 Marc Friend Background: MIT to VC to CEO
01:51 Scaling Past $100M: Heroism vs. Systems
02:35 Re-Engineering the Org at Sift
03:25 Operational Leverage in SaaS
04:47 Competitive Landscape and Differentiation
05:46 Fraud as a Revenue Enabler
08:45 What Is Agentic Commerce?
09:23 Who Bears Risk When Agents Transact?
13:01 Sift's Data Advantage and ML Signals
13:45 Using AI as an Internal Challenger
16:37 Explainability and Feedback Loops in ML
21:15 Career Arc: Engineer to VC to CEO
23:10 Re-Architecting the Business at Each Growth Stage
25:14 Process, Documentation, and Cadence at Scale
26:25 Different Teams, Different Cadences
30:37 Leadership Lessons from the 1980 “Miracle on Ice”
33:04 Advice for Hiring or Becoming a CFO
34:00 CFO as Thought Partner and Business Architect
35:23 Wrap Up and Where to Find Sift
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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By KyribaTom is joined by Marc Friend, CEO of Sift, a machine learning-powered fraud prevention platform that recently crossed $100M in revenue. Marc shares how he's restructuring the business to move from individual acts of heroism to true operational leverage — and what that requires at the organizational level. He breaks down how Sift thinks about fraud as a revenue enablement problem, not just a defensive one, and why agentic commerce is the next frontier no one has fully figured out yet. Marc reflects on how his background as an MIT systems engineer and 13-year VC shaped the way he architects companies and spots patterns worth replicating.
Guest quotes:
"You have to turn best practices into processes that are written down, so that when I say them and someone hears them, they're the same. Then you have to build a cadence around which you operate."
"When I come back to a merchant and say, I didn't authorize my agent to do that — that's a kind of fraud that we don't think about so much. Who's gonna take the risk of that is not decided."
"People are a lot more resilient than we give them credit for, and we are able to drive people much harder and further than they think they can go. People want to be challenged."
Links & Resources:
Connect with Tom Gavaghan
Connect with Marc Friend
Learn more about Kyriba
Learn more about Gen
YouTube Timestamps:
00:00 Show Intro and Guest Overview
00:25 Marc Friend Background: MIT to VC to CEO
01:51 Scaling Past $100M: Heroism vs. Systems
02:35 Re-Engineering the Org at Sift
03:25 Operational Leverage in SaaS
04:47 Competitive Landscape and Differentiation
05:46 Fraud as a Revenue Enabler
08:45 What Is Agentic Commerce?
09:23 Who Bears Risk When Agents Transact?
13:01 Sift's Data Advantage and ML Signals
13:45 Using AI as an Internal Challenger
16:37 Explainability and Feedback Loops in ML
21:15 Career Arc: Engineer to VC to CEO
23:10 Re-Architecting the Business at Each Growth Stage
25:14 Process, Documentation, and Cadence at Scale
26:25 Different Teams, Different Cadences
30:37 Leadership Lessons from the 1980 “Miracle on Ice”
33:04 Advice for Hiring or Becoming a CFO
34:00 CFO as Thought Partner and Business Architect
35:23 Wrap Up and Where to Find Sift
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.