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. You review and approve before anything is sent.

"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?"

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.