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Bringing AI in at Verkada

Group feedback on false alarms so repeat patterns show across sites

You’re the product manager. Your team is in the room. Printed Oct 15, 2026.

False-alarm feedback is abundant, but the evidence behind a roadmap problem is scattered.

Product managers need recurring customer pain to be visible without allowing a cluster to substitute for product judgment.

Who you’d be doing this for

“I’ve sent three examples this month, and every site thinks it’s the only one dealing with it.”

Adanna Agyemang · Regional Security Manager

Oversees camera and sensor operations across a distributed healthcare network.

What is at stake

Recurring false-alarm complaints are arriving through different partner and ordering surfaces without a shared evidence trail. You must decide what the system groups, what product managers verify, and what stays out of roadmap evidence.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • recurring feedback vs. site-specific context
  • faster synthesis vs. source traceability
  • partner workflow simplicity vs. richer intake
  • AI grouping vs. PM judgment

Why Verkada

Perimeter and intrusion workflows depend on cameras and sensors reducing false alarms without weakening location security.

Written with these in mind

embedded AI systems builderproduct-minded forward deployed engineerevidence workflow designer

Not your kind of problem? 63 more at Verkada, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.