When something goes wrong — an outage, a broken feature, a policy change — conversation volume spikes fast. Fin Operator detects these spikes, identifies what's driving them, and drafts a targeted bulk response for your review.
What it can do
Detect conversation spikes — Identifies when volume rises sharply on a specific topic, channel, or customer segment and flags it as a potential incident.
Identify the pattern — Reads a sample of the spiking conversations to find what's driving them — a product outage, a broken feature, a billing error, or a recent change.
Draft a bulk response — Once the pattern is clear, Fin Operator drafts a targeted message to send to affected customers.
How it works
Fin Operator queries recent conversation volume and detects anomalies across topics, channels, and customer segments.
It reads a sample of the spiking conversations to identify the common thread.
It drafts a targeted bulk response for your review.
Example prompts
"Is there anything unusual happening in my conversations right now?"
"We had an outage this morning — find all affected customers and draft a response"
"What's driving the spike in conversations this week?"
"Customers seem to be reporting a payment issue — how many conversations mention this and what are they saying?"
Tips
You don't need to wait for a customer to report an incident. Asking "Is anything unusual happening in my conversations?" is a fast way to catch issues early.
Be specific about the timeframe if you know it — "conversations from the last 2 hours" narrows results faster than "recent conversations."
The draft response is a starting point. Ask Fin Operator to adjust the tone, add an estimated resolution time, or include a workaround before approving.
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