How DiDi built intelligent contact center QA with Amazon Bedrock
DiDi replaced opaque third-party QA with Bedrock—intent accuracy jumped from 38% to 86%, compliance scoring hit 90%.
Why it matters
A concrete deployment case study showing how enterprises are building custom AI workflows on foundation models to replace legacy vendor tools, with measurable wins in accuracy and speed.
The key facts
12 to knowDiDi built contact center QA system on Amazon Bedrock
Intent verification accuracy improved from 38% to 86%
Compliance scoring reached 90%
Voice of Customer trend analysis reduced from hours to minutes
System handles Spanish and Portuguese support
Replaced third-party opaque tool with self-owned transparent system
Intent verification accuracy: 38% → 86% (48-point lift)
Compliance scoring: topped 90%
Voice of Customer analysis: hours → minutes
Languages: Spanish and Portuguese support
Platform: Amazon Bedrock (managed LLM API)
Use case: Contact center QA automation replacing third-party vendor
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: DiDi built a transparent, self-owned contact center quality assurance (QA) system on Amazon Bedrock, replacing an opaque third-party tool. Intent verification accuracy rose from 38% to 86%, compliance scoring topped 90%, and Voice of Customer trend analysis dropped from hours to minutes across…