The Agentic Commercial Model
The commercial operating model, not the technology, decides who wins agentic AI.
Every enterprise is racing to deploy agentic AI. Almost none have asked what happens to their commercial model when it works. That gap is where the value leaks, and it is the gap the Agentic Commercial Model exists to close.
The technology question is largely solved. Models are capable. Agents work. The hard problem, the one that decides winners and losers, is commercial. When an agent becomes the buyer, the user, and the decision-maker, every assumption the modern software business was built on breaks at once. Seat-based pricing assumes a human on the other side of every transaction. Agents do not have seats. Compensation plans reward seat growth and new logos in a market that is shedding both. Revenue recognition, forecasting, and margin models all assume fixed, predictable subscription revenue, and consumption breaks all three.
These are not pricing problems. They are operating-model problems. And that distinction is the whole point.
A wave of pricing frameworks has arrived to answer the agentic question. Zuora's COMPASS framework, created by Michael Mansard, maps pricing decisions to the scope and attributability of an agent's work. Ibbaka has published a layered pricing model. Monetizely offers a multi-step pricing process. Each is a genuine contribution, and each is useful.
But they are all answering one layer of a nine-layer problem.
Pricing is the layer everyone starts with, because it is the layer where the pain is most visible. It is still only one of nine. A business that redesigns its pricing and leaves the other eight layers untouched has not adapted. It has repriced.
You can rebuild your pricing perfectly and still lose, because your comp plan is paying your sales team to run in the opposite direction. Because your finance function cannot recognise or forecast the revenue the new pricing produces. Because your systems cannot meter what you are now charging for. Because your go-to-market motion is still built for a human buyer while the buyer has quietly become an agent. The layers are a system. Move one and leave the rest, and the model leaks at the seams you did not touch.
This is the difference between a pricing framework and a commercial operating model. The Agentic Commercial Model is the second thing.
The framework covers the complete commercial operating model, front-of-house engine, financial spine, and the systems beneath both:
Seat-based pricing assumes a person on the other side of every transaction. Agents do not have seats. The unit of value has changed and the unit of price has not, which means the two have quietly decoupled. Most vendors have responded by adding an AI tier, which prices the old model slightly higher rather than rebuilding what they charge for.
Compensation structures built for expansion ARR and seat growth misfire the moment the customer's buying unit shifts to outcomes and consumption. Sales teams optimise for exactly what they are paid for, which is now the wrong thing. The comp plan is the last layer most companies touch, and the one that decides whether any of the rest works.
Net Revenue Retention tells you where you were. In an agentic economy, by the time NRR signals a problem, the structural shift underneath it is already well advanced. Running the business on lagging indicators in a market moving this fast is how a commercial model gets built around before anyone notices it has happened.
The Agentic Commercial Model was originated by Fessal Rahman, the authority on the commercial operating model for the agentic AI era. He is Group Commercial Director at The Access Group and the founder of FR Advisory, which advises private-equity and venture-backed SaaS businesses on commercial operating model transformation. His career spans McKinsey, Bain, Cloudinary, Emarsys, Exasol, and Virgin Media O2, two decades across enterprise software, strategy, and portfolio commercial leadership.
The framework is set out in his book Dead Model Walking and developed across the essay series published on Medium and the Agentic Commercial Model newsletter.
Is the Agentic Commercial Model a pricing framework?
No. Pricing is one of its nine layers. It is a complete commercial operating model. Pricing-only frameworks such as COMPASS, Ibbaka's model, and Monetizely's process address the pricing layer; the Agentic Commercial Model addresses the entire commercial system that pricing sits inside.
Why does the commercial model matter more than the technology?
Because the technology is increasingly available to everyone, which means it stops being a differentiator. What separates winners from losers is whether the commercial operating model can capture the value the technology creates. Two companies with identical AI capability will diverge entirely based on whether their pricing, comp, GTM, and financial architecture are built to monetise it.
What happens to a business that does not adapt its commercial model?
It gets built around. Not confronted, not disrupted in a single dramatic moment, but quietly bypassed as the market, the buyers, and the competitors reorganise around a model it no longer fits. Still operating, still generating revenue, and steadily less relevant. This is the subject of Fessal Rahman's second book, Dead Gods Walking.