When AI Agents Do the Work, What Are Customers Actually Paying For?
Per-seat pricing assumes people do the work. When an agent resolves the ticket, writes the code or books the meeting, customers start asking a different question: what exactly am I buying?
This conversation pairs founders who have repriced around agents, and asks what customers value when the labour is automated: outcomes, reliability, accountability, data, or the relationship.
Angles we want to explore
- Seats, usage, outcomes: what you tried, and what customers accepted
- Selling a result when the model behind it keeps changing
- Who is accountable when the agent gets it wrong
- Margins when inference is a real cost of goods sold
- Services businesses turning into software, and the reverse
- What customers will still pay a premium for
Who we want to hear from
- Founders selling AI agents or agent-powered services
- Founders who changed their pricing model because of AI
- Operators and buyers who purchase agent-based products
The format
Two founders. One big question. No scripted interview.
Two participants, one question
You are matched with a peer around a question you have both lived.
A clear pairing proposal
We tell you who, why, and the question. Both of you agree before anything is scheduled.
About 30 minutes
Recorded remotely at a time that suits you both.
Peers, not a host
You talk with each other. No interviewer, no script.
Shared with your consent
Recorded for possible publication and distribution, only with both participants' consent.
Media partners
Selected conversations can also be featured by AI Time Journal and AI Frontier Network.
Take part in this conversation
About four minutes. In the form, choose “When AI agents do the work, what are customers paying for?” and tell us about your experience. Every application is read by a person.
Apply for this conversationOther questions: How Much Company Can One Founder Build with AI Agents? · Does Building an AI Startup Still Require San Francisco?
