customer_support · saas · workflow

Life360 achieves 70% automated resolution rate and 5x support capacity with Ada AI agent Vida

As Life360's user base expanded, inquiry volume rapidly outpaced team capacity. Over 90% of inquiries were handled via email, leading to long response times, increasing operational strain, and a growing backlog of unresolved tickets.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer inquiry via chat
Life360 shifted from a manual, email-heavy support model to an AI-first approach on the chat channel.
Tools used
AdaVida
Outcome

Life360 achieved an immediate 70% automated resolution rate, with Vida managing the workload equivalent of 400 FTE, response times 3x faster, and support capacity increased 5x to handle 150,000 inquiries per month.

Results
Time saved3x faster
Volume400 FTE
Source

https://www.ada.cx/case-study/life360

How we source this →

Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes, 2 dropped as unverifiable.
ai agentconversational aisupport agentchat transcriptsupport ticketfailure mode describedhuman review describednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwareautomation ratedeflection rateemployee productivityresponse time reductionthroughput increasevendor customer storycustomer supportticket triageautonomous resolutionescalation workflow