When an AI agent moves from a demo into a live workflow, someone still owns the outcome. But what does that ownership look like when a person is no longer doing every step?
In this tactical breakout, Jeremy Black, GM, Banking at Float, shares an operator’s approach to putting agents to work without leaving accountability behind. Through examples of agent-led work and human-in-the-loop decisions, including what didn’t work, he explores how to define an agent’s authority, decide where human judgement matters, and make responsibility clear when something goes wrong.
Founders and operators will leave with three practical changes they can make the following week: name the person accountable for a workflow, set the boundaries for what an agent can decide, and define when it should hand control back to a human.
Keep Exploring
We have a lot more exciting things for you to check out about this event!
You book the booth. We bring the buyers.
Let’s turn badge scans into booked meetings—and pipeline magic.
Got something real to say? Good.
No recycled decks. Just operators sharing what’s actually working.
Stay In The Loop
Get speaker announcements, agenda updates, and early ticket access delivered straight to your inbox.
No spam. Just the good stuff.
