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Listed under Business › Entrepreneurship
GTM conversations with founders building the future of Fintech.
69 episodes · publishes fortnightly · latest 2026-05-29 · ~25 min/episode
Rank
#238
Substance
71.2
/ 100
Breakdown
Scored 2026-08
Updated monthly
Across the index
#238 of 1016
Substance
Top 23%
outscores 77% of the index
Fintech Builders ranks #238 on The B2B Podcast Index with a substance score of 71.2 out of 100, scored across 5 recent episodes. It scores highest on guest caliber and insight density. Ed Brandman is highly credible as a CIO who built and scaled technology operations at KKR, a $940B+ AUM firm. He's now a founder with domain expertise in exactly the pain point he's solving (due diligence), giving him genuine authority to speak about both buy-side and sell-side challenges. However, his company is still relatively early stage (~30 people, only recently started outbound) so he hasn't achieved the scale of some other founder guests.
Averaged across 5 recently scored episodes, with cited evidence.
The episode contains several useful insights about B2B sales to financial services (security importance, avoiding overselling, understanding business problems) and observations about AI adoption challenges for enterprises, but is diluted by extended personal anecdotes about national parks (roughly 4-5 minutes of pure filler) and meandering discussions about AI experimentation that lack concrete frameworks. The advice at the end is solid but somewhat predictable for experienced founders.
“Do not downplay security in financial services. It's not just table stakes. If you get it wrong, like you'll damage your reputation in the industry. Two, don't oversell.”
“don't come to the table and just talk about technology. If you're not talking about the business problem, like, don't be the solution in search of a problem.”
While the guest brings practical CIO perspective to AI sales strategy, the core advice (understand the customer, don't oversell, handle security properly) is fairly standard B2B wisdom applied to the AI moment. The observation about 'nonlinear thinkers' getting most value from AI is interesting but underdeveloped. The extended discussion about chat-based vs. agentic AI interfaces is somewhat more original but remains largely theoretical rather than evidence-based.
“nonlinear thinkers are some of the people getting the most bang for the buck out of AI because they're not stuck in the swim lane of how to do the work”
“I don't think that wins long term. Like I think the next iteration of what is successful in AI is not just going to be native chat, right? It's got to be the model understands me more”
Ed Brandman is highly credible as a CIO who built and scaled technology operations at KKR, a $940B+ AUM firm. He's now a founder with domain expertise in exactly the pain point he's solving (due diligence), giving him genuine authority to speak about both buy-side and sell-side challenges. However, his company is still relatively early stage (~30 people, only recently started outbound) so he hasn't achieved the scale of some other founder guests.
“I joined the firm in 2007 when it was only 390 people”
“I had been fortunate enough to got and brought over the wall on diligence activities.”
The episode lacks concrete numbers, customer names (beyond vague references to 'PwC', 'early clients', 'family offices'), and specific metrics. Claims like '8-10 inbounds a week' and '50% increase with outbound' are mentioned but unexplored. The guest makes sweeping statements about enterprise AI adoption struggles without citing specific examples, timelines, or data. References to 'two and a half years ago' and 'shifting monthly' lack precision. Only rare specifics like 'two people doing outbound' emerge.
“all of a sudden we started getting eight to 10 inbounds a week without a cold calling plan”
“we're already up 50%”
The host asks reasonable setup questions but rarely pushes back or demands specificity. After Ed makes big claims ('8-10 inbounds a week', 'tripled down on all aspects'), the host doesn't follow up with 'which clients?', 'what does tripled down mean specifically?', or 'what's your churn?'. The national parks tangent consumes significant time without being redirected back to business substance. The final advice question is strong, but it arrives late after significant filler. Host laughs and validates rather than interrogates.
“What is your favorite national park? I said no hard questions, but I lied.”
“Wow. Yeah, we are. I would describe it as doubling down as maybe the easy one. I think we've tripled down on all aspects of everything we do.”
3 periods tracked.
5 scored on substance · 60 tracked in total.
How Avantos positioned against CRM by calling itself an operating system for client management - and why buyers got it immediately | Bassam Chaptini
2026-05-29 · 20 min
How Nominal combined go-to-market engineering and CFO dinners to build a pipeline motion that converts | Guy Leibovitz
2026-05-29 · 21 min
How Extend built a four-pillar marketing org mapped to four distinct B2B2B growth motions | Guillaume Bouvard
2026-05-28 · 25 min
How Safebooks AI positioned against the 80% accuracy standard that makes AI unacceptable in finance | Ahikam Kaufman
2026-05-27 · 17 min
What ToltIQ's co-founder - a former KKR CIO - says founders must never do when selling AI to financial services buyers | Ed Brandman
2026-05-22 · 27 min
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