Tango Card achieves 100% SLA adherence and 6.7x ROI in year one with Ada's conversational AI platform
Tango Card faced a 54% spike in support ticket volume from reward recipients during the 2020 holiday season, threatening SLA adherence and their brand promise as demand scaled. Reps had to manually look up customer data across multiple disconnected systems for every interaction, slowing them down.
Ada's platform achieved 100% SLA adherence, a 6.7x ROI in year one, 70% containment of inbound recipient interactions with high CSAT, an 83% improvement in average first response time, and a 10% reduction in holiday ticket volume despite sending more rewards than ever before in Tango Card history.
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Frequently asked questions
What did this team achieve with this AI workflow?
Ada's platform achieved 100% SLA adherence, a 6.7x ROI in year one, 70% containment of inbound recipient interactions with high CSAT, an 83% improvement in average first response time, and a 10% reduction in holiday t…
What tools did this team use?
ada, Workato, Salesforce, Hubspot, NetSuite.
What results were reported?
SLA adherence: 100%; ROI in year 1: 6.7x; Average first response time improvement for reward recipients: 83%; Containment rate of inbound recipient interactions: 70% (source-reported, not independently verified).
How is this customer support AI workflow structured?
Stakeholder initiates inbound request → Ada pulls data via Workato API → Automated self-service resolution → Escalation to human reps.