Agent
CSAT Collection Agent
Effortless feedback collection after every support interaction.
Low Response Rates
Generic post-ticket surveys get ignored by most customers.
Delayed Feedback
By the time surveys are sent, context is already lost.
Shallow Insights
A single score rarely explains what actually went wrong.
Impact
Feedback That Actually Comes Back
Timely, conversational surveys capture real sentiment right after resolution.
Higher Response Rate
Versus standard post-ticket surveys.
Interactions Surveyed
Every resolved ticket gets a feedback touchpoint.
Richer Insights
From open-text sentiment analysis.
Faster Issue Detection
Recurring problems surface sooner.
Problem Solved
Outcomes You Can Expect
Amantra's Predictive Maintenance Agent creates a connected, autonomous Synapse that moves from raw sensor signal to scheduled work order — without human bottlenecks at every step.
Why do response rates improve?
Conversational, well-timed prompts feel less like a chore than static surveys.
Can it analyze open-text feedback?
Yes, it extracts themes and sentiment from free-text responses automatically.
Does it integrate with our helpdesk?
Yes, it triggers automatically based on ticket resolution events.
Can we customize survey questions?
Yes, question sets and timing are fully configurable.
How is feedback reported?
You get dashboards showing trends by agent, issue type and time period.
Does it flag urgent negative feedback?
Yes, low scores can trigger immediate alerts for follow-up.



