Credits, overages, variable usage, and what happens when AI buys AI. The 5 most common pricing questions from, answered.
Locking your credit rate card into contracts could be quietly limiting your pricing flexibility. Here's how to structure credit-based deals the right way, from rate cards to bundling to enterprise negotiations.
List price
$0.020
Negotiated
$0.014
30% discount
The way software gets priced is undergoing its most dramatic shift since the birth of SaaS. Here's what every B2B software company needs to understand — and do about it.
How do you explain the value of a credit to a SaaS customer? The framework top AI companies use, from Human Value Equivalents to consumption visibility, to make credits feel real to buyers.
Credit Value
1 credit = $0.002
The seat-based SaaS model is breaking. Discover why AI-native founders are shifting to credit-based monetization, featuring frameworks for outcome-based pricing and strategies to transition without losing customers.
Before
$40/seat/mo
Fixed. Rigid. Broken.
After
Credits
Move beyond seat-based SaaS pricing. Learn a new playbook—Credit-Led Growth—to monetize autonomous AI agents and capture real value.
AI agent deals fail when teams assume they should close like software.
SaaS Deal
Agent Deal
“Usage-based pricing is unpredictable. Buyers don’t like it.” I hear this all the time. It sounds sensible. It’s also wrong.
Opaque
Transparent
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.
Tools Budget
$75K
Labor Budget
$500K+
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.
Winning companies will be the ones proving value in the shortest possible time, locking out competitors and creating customers who succeed - and who stick.
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.