How do you know your AI is getting worse before users complain?
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We monitor AI quality automatically
We monitor data changes
We track business results
We use alerts
Teams check it manually
Users usually tell us first
We do not have a reliable way
Can you tell exactly what changed before a problem started?
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Yes, everything is tracked
Most changes are tracked
We track model versions
We track deployments
It takes manual investigation
No
I'm not sure
What happens when a new AI version performs worse?
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It rolls back automatically
The team rolls it back
Traffic moves back to the old version
The team investigates while it stays live
We fix it in the next release
We do not have a standard process
What do you currently monitor?
System uptime
Speed
Errors
AI answer quality
Data changes
Cost
Business results
Select all that apply.
How do AI updates reach production?
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Fully automated
Automated after approval
Partly automated
Mostly manual
Different teams use different processes
No standard process
I'm not sure
Who owns the problem if production AI fails overnight?
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AI / data team
Engineering
DevOps / platform team
Product
Operations
External partner
Ownership is unclear
How should we reach you?
First Name
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Last Name
*
Work Email
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Role
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Phone
Do you want to sign NDA
yes
Anything we should know before we speak?
Preferred mode of communication
Email
Phone
SMS