KPI benchmark

How many interactions do AI agents handle?

Number of conversations, cases or documents the AI handled.

How to measure it

Count from platform logs over a stated period.

Across the library

156 reported values (count), listed per use case below. Absolute volumes depend on organization size and are not pooled.

Higher is better. Unit: count.

Reported values by use case

AI agent for first line contact center service

AI assistant for citizen information and government services

AI agent for account and card servicing

AI assistant for developers integrating a company's APIs

AI assistant for tax questions and filing support

AI financial wellbeing coach in the banking app

AI agent for utility billing, payments, meter readings and move in or move out

AI assistant for student enrollment and student services

AI blocking of phishing and scam text messages in the operator network

AI spam and scam call blocking for mobile and landline subscribers

AI agent for apartment leasing inquiries and resident service

AI assistant for telecom plan upgrades, add ons and sales

AI meeting summarization and action items

Agentic AI for autonomous, intent based network operations

AI agent for automated sports highlights and clipping

AI agent for device and connectivity troubleshooting on voice and chat

  • Vodafoneabout 45 million · vendor claim
  • Singtelat least 70,000 · organization claim

AI agent for flight disruption and rebooking

AI agent for order status, delivery changes and returns

  • Klarna2.3 million · organization claim
  • Nuulyabout 80,000 · vendor claim

AI agent for parcel tracking and delivery exceptions

AI assistant for corporate and commercial client servicing

  • HSBC3 million · organization claim
  • DBS Bankat least 120,000 · organization claim

AI assistant for retail store associates

  • Walmartat least 3 million · organization claim
  • Albert Heijnat least 50,000 · organization claim

AI content moderation for trust and safety at online platforms

AI digital human guide for banks and insurers

AI for eDiscovery and disclosure document review

AI for photo based damage assessment in insurance claims

AI for predictive network maintenance in telecom

  • Verizonat least 10 million · organization claim
  • Telstra2.5 million · organization claim

AI home loan assistant with pre qualification

AI product content and catalog enrichment for online retail

  • Walmartat least 850 million · organization claim
  • eBayat least 100 million · organization claim

AI virtual assistant for health insurance member service

  • CZat least 1 million · vendor claim
  • AOK PLUSat least 30,000 · vendor claim

AI agent for card dispute intake

  • Klarna2.3 million · organization claim

AI agent for payment initiation within a customer mandate

  • Alipayat least 120 million · organization claim

AI agent for personalized offers and rewards

AI assistant for HR and policy questions

  • IBMat least 11.5 million · organization claim

AI enterprise knowledge search for employees

AI quality inspection on the production line

  • Audiabout 1.5 million · organization claim

Generative AI voice assistant in the car

  • NIOat least 10 million · organization claim

Use cases that should track interactions handled

Frequently asked questions

How do you measure interactions handled?
Count from platform logs over a stated period.
Where do these interactions handled numbers come from?
From public AI deployments in the Blits.ai AI Use Case Library. Every value is quoted from a named source, each organization counts once, and "up to" claims are listed but left out of the median.