Hosted by Fexingo
Listed under Business
Every day, Lucas and Luna sit inside the enterprise lobby - not to admire the sculpture, but to decode how Fortune 500 companies buy software, manage procurement, and close large-account sales.
141 episodes · publishes daily · latest 2026-07-30 · ~9 min/episode
Rank
#6
Substance
88.2
/ 100
Breakdown
Scored 2026-08
Updated monthly
Across the index
#6 of 1026
Substance
Top 1%
outscores 100% of the index
Enterprise Tech with Fexingo ranks #6 on The B2B Podcast Index with a substance score of 88.2 out of 100, scored across 5 recent episodes. It scores highest on specificity & evidence and insight density. The episode opens with a compelling concrete case (60 billion asset regional bank, 50 million loss, 500k cap, 100-to-1 gap). Several other named examples appear (Fortune 100 financial institutions, two contracts for same SaaS product). However, most deal terms are ranges (3x-5x, 2x-3x) rather than specific figures, and no named vendors or companies beyond the bank scenario are cited. Percentages (70% of deals start at 1x) lack sourcing.
Averaged across 5 recently scored episodes, with cited evidence.
The episode delivers concrete, actionable insights about liability cap negotiation structures that most B2B operators wouldn't know without procurement experience. Specific frameworks like tiered caps, carve-out hierarchies, and mutual cap tactics are non-obvious. However, some padding exists (the coffee donation mention, general trust talk at the end) and a few points are restated rather than developed deeper.
“The top-tier carve-outs are typically three: breach of confidentiality, infringement of intellectual property, and gross negligence or willful misconduct.”
“The best approach I've seen is to start with a risk assessment. The procurement team maps the specific harm scenarios unique to their business.”
The framing of liability negotiation as a risk-mapping exercise and the mutual cap tactic as a trust-reveal mechanism are fresh and counterintuitive. The AI liability cap discussion hints at forward-thinking. However, the core concept of carve-outs, data breach as table stakes, and higher multiples for larger deals are becoming industry standard, limiting pure originality.
“The best approach I've seen is to start with a risk assessment... Then they say: 'For these three risks, the standard cap is inadequate.'”
“And if the vendor resists, the buyer can offer a mutual cap - same carve-outs, same limits for both sides. It's hard for a vendor to argue that they deserve uncapped liability if they won't accept it themselves.”
Lucas presents as a practitioner with direct M&A/procurement experience (mentions 'in my experience,' cites specific Fortune 100 and mid-cap deals), making him credible. However, the transcript doesn't confirm his title, company, or depth of execution at scale. Luna appears to be the host rather than an independent expert. The discussion suggests real deal experience but lacks the gravitas of a C-suite operator who closed these negotiations themselves.
“For a Fortune 100 financial institution, I've seen uncapped for those three.”
“I once saw two contracts for the same SaaS product - same price, same volume - but one had 400,000 in liability and the other had unlimited for data breach and IP.”
The episode opens with a compelling concrete case (60 billion asset regional bank, 50 million loss, 500k cap, 100-to-1 gap). Several other named examples appear (Fortune 100 financial institutions, two contracts for same SaaS product). However, most deal terms are ranges (3x-5x, 2x-3x) rather than specific figures, and no named vendors or companies beyond the bank scenario are cited. Percentages (70% of deals start at 1x) lack sourcing.
“A regional bank with about 60 billion in assets recently had a core processing platform corrupt a major portion of its loan data. The bank estimated the loss at roughly 50 million dollars. Their contract with the vendor capped liability at 500,000.”
“For a Fortune 100 financial institution, I've seen uncapped for those three. For a mid-cap, you often see a separate cap - 3x or 5x annual fees.”
Luna asks good follow-up questions that build on Lucas's points ('Did they have any luck litigating?', 'those three usually carry uncapped liability?', 'What are the specific tactics...?'). She restates and clarifies ideas effectively, showing understanding. However, she rarely pushes back or challenge Lucas's claims, and the conversation lacks tension or disagreement. Some questions are softballs that Lucas answers with full agreement.
“Did they have any luck litigating?”
“And that's why Fortune 500 procurement teams don't just accept the standard liability cap. They treat it as a starting point, not a given. Lucas: Exactly.”
3 periods tracked.
15 scored on substance · 129 tracked in total.
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Why Fortune 500s Now Demand AI Model Red-Teaming
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How Fortune 500s Negotiate Vendor AI Hallucination Insurance
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How Fortune 500s Use Procurement to Negotiate Vendor Software Liability Caps
2026-07-02 · 7 min
How Fortune 500s Negotiate Software Beta Test Terms
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How Fortune 500s Negotiate Vendor Data Resale Rights
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How Fortune 500s Use Procurement to Manage Vendor AI Training Data Rights
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How Fortune 500s Negotiate Vendor Noncompete Clauses
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How Fortune 500s Use Procurement to Manage Vendor Data Portability
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How Fortune 500s Negotiate Vendor Anti-Scraping Protections
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How Fortune 500s Build Vendor Relationship Scorecards
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How Fortune 500s Negotiate Multiyear Software Contracts with Inflation Escalators
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How Fortune 500s Use Procurement to Manage Vendor Bankruptcy Risk
2026-06-25 · 7 min
How Fortune 500s Use Procurement to Negotiate Vendor AI Output Ownership
2026-06-24 · 11 min
How Fortune 500s Use Procurement to Manage Vendor API Pricing Changes
2026-06-24 · 8 min
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