
BillingJuly 3, 2025
How to do AI Agent billing in 2025
Arnon Shimoni
When Andreesen Horowitz released their findings from surveying 100 Enterprise CIOs about their AI purchasing behavior, the headline sounded like great news for anyone selling AI:
“AI spend blew past high expectations and is here to stay,” boasted the article by a16z.Cue the confetti. But read a little deeper, and the mood shifts.
Enterprise companies aren’t shopping for the best solution and then making a purchase. They’re trying a handful of options, then ripping out the ones that don’t stick. This is Vibe Revenue 101.
Vibe revenue means it’s easy to get a tryout, but it’s hard to make the final cut.
A recent study by the S&P Global says “Generative AI experiences rapid adoption, but with mixed outcomes”.
At Paid, we’ve consulted with 200+ agentic companies to see what sticks - and we’re building our own product to be impossible to rip out.
If you’re building agentic AI, this is your playbook for making sure you don’t get replaced next quarter.
Q: What kind of AI agent has the highest churn rate?
A: The one you can rip out without consequence.
Lots of point solutions fall into this category - your AI notetaker, research assistant, and productivity agents. Chances are if “plug and play” describes your agent, it’s a dime a dozen, fully commoditized in the market.
But of course, you didn’t build an agent just to get replaced in 3 months. If your product is easy to install, it’s easy to delete - like ripping off a band-aid.
However, if it’s deeply embedded, ripping it out shuts down the whole system - like ripping out a brainstem.
Our research into the state of AI agents shows there’s a spectrum from commoditized to irreplaceable. Three stages from bandaid to brainstem.
Reality check:Most competitors can vibe-code this in 2–3 months. If your agent lives here, your moat is as thin as a UI preference.
Reality check:Ripping this out costs 2–6 months of dev time. Enough pain to think twice, but not a dealbreaker.
Reality check:Replacing this means 6–18 months of re-engineering.This is what successful enterprise AI deployments are built on.The words “change management” end any conversation about switching to a competitor.
The most successful agentic AI companies we’re working with are building agents with deep workflow integrations that run part of their customer’s business.
Surface integrations get swapped every budget cycle.
Deep workflows survive org changes, reorgs, and procurement reviews.
We built Paid to operate at that level because we knew from day one: agents that don’t integrate, don’t survive.
Here’s how to design for deep integration from day one.
The goal: turn a helpful tool into operational glue.
If your agent automates one step, it’s easy to swap.
Map the full workflow and look for upstream and downstream touchpoints you can own.
At Paid: We became part of finance operations, not just a reporting layer.
CRM syncs and Slack alerts aren’t integration.
Design your agent to impact how decisions are made, how data is processed, or how money moves.
ERP systems are notoriously hard to rip out because they’re so embedded. They’ve taken down entire companies.
Build integration points that touch multiple departments and business rules, so removing you means re-architecting workflows.
Think “operational spine,” not “bolt-on feature.”
The most irreplaceable agents generate data no one else does, then make that data essential.
Find the metric your customer’s leadership can’t live without, and make your agent the only source.
At Paid: We own agentic ROI — the hard numbers that prove value beyond vibes. We track real-time margins, usage analytics, and cross-functional impact that powers retention and expansion.
Single-team adoption is fragile. Cross-org reliance is sticky.Build dashboards, reports, or triggers that serve sales, finance, CS, and ops — not just your champion.As more companies deploy multi-agent workflows, your agent’s ability to integrate, collaborate, and sync across use cases becomes a retention moat.
In the agentic economy, tryouts are easy to get. Contracts are hard to keep.
Your customer isn’t loyal to your interface, your model, or your brand.They’re loyal to the work they’d have to redo if you vanished.
That’s what you’re competing with.
See why leading AI companies trust us to monetize the value they deliver.