customer_support · finance · workflow
AI Agent Ida handles 28% of SpareBank 1 Østlandet's customer inquiries with 41% automation rate
In 2018, SpareBank 1 Østlandet faced growing customer demand for digital service channels and competitive pressure as peer banks deployed chatbots, while the bank itself had only implemented robotic process automation and lacked a conversational AI capability.
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 submits inquiry
Customers ask questions through the bank's digital channels instead of searching FAQs.
Tools used
boost.aiGenerative ActionIda
Outcome
Ida became the bank's second-largest customer service channel, handling 28% of all customer inquiries with a 41% automation rate and over 2.3 million conversations since launch, delivering service at a fraction of the cost of traditional channels and reducing manual workload for AI trainers.
Results
Volume28%
Cost replacedfraction of the cost of traditional channels
Running since2018
Grounding & classification
Source type: vendor customer story
34 fields verified against source quotes.
ai agentcontent generationconversational aichat transcripthuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedbankingautomation ratecost reductiondeflection rateemployee productivitythroughput increasevendor customer storycustomer supportautonomous resolutionescalation workflow