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AI agent monetization strategies & models

Industry insights on pricing strategies and revenue optimization for AI agent companies.

Monetization Playbooks for the AI Era

February 12, 2026

From PLG and SLG to CLG and ILG: AI Monetization Playbooks

Move beyond seat-based SaaS pricing. Learn two new playbooks—Credit-Led Growth and Impact-Led Growth—to monetize autonomous AI agents and capture real value.

The new Sales Motion

January 22, 2026

Why AI Agent Deals Don’t Close Like SaaS (and Never Will)

AI agent deals fail when teams assume they should close like software.

Credits blogpost

December 21, 2025

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.

Illustration of hands holding a coin with a dollar sign, surrounded by radiant sunbeams, symbolizing prosperity and financial growth.

December 5, 2025

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.

Silhouettes of people standing on ripple-like patterns with a large, bright sun in the background, creating a dramatic contrast.

December 2, 2025

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.

Illustration of a central yellow padlock with swirling, abstract black and white patterns surrounding it, creating a sense of movement.

November 28, 2025

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.

Illustration of three trophy cups on a podium, set against a textured yellow background with a large sun-like circle.

November 24, 2025

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.

Margins in saas square

November 21, 2025

The rule of 40 breaks for AI agents. Here's how to fix it

The traditional metrics that guided software companies for decades are breaking down, creating a profitability crisis across the AI industry. Here's what's happening and how the winning SaaS companies are adapting their business models to survive the shift.

person standing on a platform

November 18, 2025

How SaaS companies can transition from subscriptions to outcome-based pricing

A framework to help SaaS companies find the right pricing model and transition from seat-based to outcome-based pricing.

Rivers flowing

November 14, 2025

Why tracking and billing can't be separate systems anymore

When tracking and billing are unified around human equivalent value, everything changes. You can see what agents cost to run versus what value they delivered. When you can see both numbers, you can find the pricing that captures value while protecting margins.

empty rows of seats opposite a lecturer sitting on his own, with yellow background and pixelated orange mountain

November 7, 2025

Why 80% margins mean your agents aren't working

The companies actually winning with AI are seeing margins in the 40-60% range, and that's exactly how they know their AI strategy is working.

Illustration of an office with computers and chairs, where the floor transforms into circuit-like patterns, blending technology with workspace.

October 25, 2025

Notes on where seat-based pricing is going

Seat pricing isn’t evolving, it’s being outgrown. As AI replaces users with agents, software must price by work done, not by humans doing it.