AI Emptied Our Backlog. Now What?
What happens when engineering outruns product?
We started with a modest goal: use AI to structure our customer insights and feed the right information into product development. It worked better than planned. The backlog every product team knows, the long list of requests from customers and stakeholders, now gets handled alongside everything else.
That left us with a question we never had to ask before: what do we build now? When delivery is no longer the limit, old habits lose their reason. How we prioritize, how we plan capacity and what the product role is for all had to change.
In this talk I share the stories from that journey at MedFlex: what we changed, what did not work, and where we are still experimenting. You will leave with an honest picture of what shifts in an organization when building gets this fast, and with questions to take back to your own team.
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Verena Graber
Verena Graber is a Product Manager at MedFlex, a company that automates patient communication for medical practices.
Over the past year she rebuilt how her team works with AI. Every sales, customer success and support conversation now flows into a research pipeline she can query, and product news is drafted automatically when a ticket closes. She is MedFlex's internal AI champion and helps other teams set up workflows of their own.
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