customer_support · finance · workflow
Blackhawk Network automatically resolves half of customer inquiries with Ada generative AI
Tango Card's scripted Ada chatbot required every new automation use case to be manually built as an individual answer path, creating growing maintenance overhead. Knowledge management was reactive and ad hoc, and AI performance insights stayed siloed within the support team.
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 arrives
Incoming customer inquiries arrive across all brands and channels.
Tools used
AdaUdemy
Outcome
Blackhawk Network now automatically resolves half of all incoming customer inquiries across all channels, has upskilled frontline agents into AI collaborators, and expanded automation across all brands and channels.
What failed first
The scripted chatbot model's flexibility came at the cost of substantial manual upkeep — every new capability required building and maintaining individual answer paths, accumulating hours of overhead.
Results
Volumeover 70%
Running sincepast year
Grounding & classification
Source type: vendor customer story
23 fields verified against source quotes, 2 dropped as unverifiable.
agent assistagentic workflowconversational aiknowledge basesupport ticketfailure mode describedhuman review describednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedfinancial servicesretailautomation ratedeflection rateemployee productivityvendor customer storycall center aicustomer supportautonomous resolutionescalation workflowhuman review queue