The Table · The agent works. So why does nobody use it?
The capability is there. The agent can draft the message, adjust the campaign, reconcile the record. Then you read the logs and almost nobody lets it, or they let it once and quietly go back to doing the task themselves.
That is a product problem rather than a model problem: what an agent has to earn before a person hands over a task, and how an interface earns it. We would rather spend two hours on that than on another demo.
On the table
What makes someone delegate the second time, once the novelty is gone
Confirmation, undo and visible reasoning, without turning the agent into more work than the task
Where an agent should stay invisible, and where taking the credit is the point
Our guest: Ayelet Geva — VP Product for AI Agents at Dynamic Yield by Mastercard.
Ayelet is building the agent framework on top of a personalisation platform used by large retailers and financial institutions, and before that she led its vertical for financial institutions. Earlier she spent nine years at Wix in senior product roles, including Head of Product for the Wix Editor and product lead for EditorX from zero to one. She works where agents meet real users inside an established product, which is where adoption rather than capability decides whether the thing was worth building.
Eight seats around one table in Tel Aviv: six people building in AI agents and product, our guest, and one person from StageOne. 13:00 to 15:00, two hours, one question. An open conversation with someone who has already done it, not a talk: no slides, no presentation, no pitching. Lunch is on StageOne.
Only six seats. Every seat changes the conversation, so if your plans change, please cancel your registration on this page or let us know as early as you can, and we will give the seat to someone else.
Seats are reviewed one by one. We send the exact address in the confirmation email.