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Accenture creates a Knowledge Assist solution using generative AI services on AWS

Employees spend countless hours hunting for information, causing frustration and reduced productivity; when answers cannot be found, escalations or uninformed decisions create organizational risk. Customers find enterprise knowledge bases cumbersome and a poor experience risks defection. Unstructured content makes traditional keyword search time-consuming and ineffective.

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 · User submits query via web
The user submits the request to the conversational front-end application hosted in an Amazon S3 bucket through Amazon Route 53 and Amazon CloudFront.
Tools used
Amazon BedrockClaude-2Amazon TitanAmazon KendraAmazon LexDynamoDBPineconeAmazon CloudWatchAmazon OpenSearch ServiceKibana
Outcome

The Knowledge Assist solution reduces training time for new hires by over 50% and cuts escalations by up to 40%, with dramatic improvements in employee knowledge retention and productivity, and reduced need for call center agent interaction as citizens self-serve.

What failed first

The existing FAQ bot had a limited scope of questions it could answer, and traditional question-answering platforms had identified gaps that required generative AI to bridge.

Results
Time savedover 50%
Volumeup to 40%
Source

https://aws.amazon.com/blogs/machine-learning/accenture-creates-a-knowledge-assist-solution-using-generative-ai-services-on-aws?tag=soumet-20

How we source this →

Grounding & classification
Source type: technical build writeup
37 fields verified against source quotes, 1 dropped as unverifiable.
chatbotconversational aidocument aiknowledge searchragtranslationknowledge basepolicy documentmetric backedproduction runtime claimedtools describedvendor confirmedworkflow describedgovernmenthealthcarecost reductiondeflection rateemployee productivitytime savedtechnical build writeupback office opscustomer supportautonomous resolutionrag answering