Why AI Agent Deals Don’t Close Like SaaS (and Never Will) AI agent deals fail when teams assume they should close like software.
22 Jan 26 • Manny
Paid.ai blog
Everything you need to know about monetizing AI agents
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The $2.7 Billion Agent Tax Crisis: First-ever study reveals how AI companies are legally avoiding tax The US faces $2.7B revenue crisis as AI agents legally dodge taxes. First study shows identical AI, different structure across states, with the window of opportunity to legislate closing quickly.
29 Oct 25 • Arnon
The SaaS to AI Agent transition report: From vibe pricing to value capture 75% of SaaS companies lack systematic agent pricing. Those moving from usage-based to outcome-based models achieve 94% margins vs. negative margins for competitors.
22 Oct 25 • Arnon
Paid + GitLaw: Introducing Legal Contracts Built for AI Agents Paid has partnered with GitLaw to create and release an open-source Master Services Agreement (MSA) specifically designed for AI agent companies. This contract addresses the unique challenges that traditional SaaS contracts fail to cover when applied to autonomous, adaptive AI systems. The Agentic MSA clarifies decision responsibility, establishes appropriate liability frameworks, and provides clear language around data ownership and training rights.
8 Oct 25 • Arnon
Should You Build Your Own Agent Billing System? (Probably Not) Building agent billing costs $500K-$2M and takes 6-12 months. Use this decision framework to determine if your SaaS company should build or buy instead.
13 Oct 25 • Arnon
Latest
Predictability is overrated. Transparency is what people actually want. “Usage-based pricing is unpredictable. Buyers don’t like it.”
I hear this all the time.
It sounds sensible. It’s also wrong.
21 Dec 25 • Manny
The discovery trap: Why your best SaaS sellers are leaving money on the table with AI agents Your top performers - the ones who've been crushing SaaS quotas for years - are systematically undervaluing AI agents by 70-80%. Not because they're bad sellers. But because they're too good at what they've always done.
5 Dec 25 • Manny
The discovery framework for unlocking bigger budget pools Most SaaS companies are used to selling against the $1 software and tools budget pool. The new guard of AI natives are positioning themselves as labor replacement and fishing in the $10 labor pool.
2 Dec 25 • Manny
The 5 rules for winning AI proofs of value Winning companies will be the ones proving value in the shortest possible time, locking out competitors and creating customers who succeed - and who stick.
28 Nov 25 • Manny
The pricing model that kills growth (and two alternatives for high growth SaaS) More and more SaaS companies are launching AI features, or even entirely new AI products. But many of them are approaching AI pricing in the same way they priced features in 2015. And that's where billions in potential value are being left on the table.
24 Nov 25 • Manny
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