50x
increase in testing capacity
As published on aws.amazon.com. Captured by usedby on Oct 3, 2026.
What happened
DoorDash uses Anthropic's Claude models in Amazon Bedrock, with retrieval-augmented generation over its public help center, to power a voice self-service contact center assistant that answers common support questions from Dashers. The assistant runs within Amazon Connect Customer and handles routine inquiries so live agents can focus on complex issues.
Summary written by usedby from the source page, in English. The figures are those of AWS Bedrock and Doordash, not ours.
- 2.5 seconds or less“With the release of Claude 3 Haiku, DoorDash achieved the accuracy and speed it needed for its voice application, achieving a response latency of 2.5 seconds or less.”
- 50x“This framework helps DoorDash to complete thousands of automated tests per hour—a 50x increase in capacity—and semantically evaluates responses against ground-truth data.”
The Amazon Bedrock–based solution reduced generative AI application development time by 50 percent.
Using AWS and Anthropic’s Claude, we’ve built a solution that gives Dashers reliable and simple-to-understand access to the information they need, when they need it,
What the story claims, and what we checked
We compared the story with its live page on Oct 3, 2026.
- The figure: 50xCheckedThe figure is on the page; its label is our wording.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Doordash.
- Doordash uses AWS BedrockCheckedConfirmed line. Latest check across sources: Oct 3, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




