back_office_ops · services · workflow
Thomson Reuters builds Open Arena, an enterprise LLM playground, in under 6 weeks with AWS
Thomson Reuters needed a safe, enterprise-grade platform to let employees without coding backgrounds experiment with LLMs and discover AI use cases for their daily work and products.
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 · Employee accesses tile interface
Employees interact with Open Arena through pre-set enabling tiles designed for each experience.
Tools used
Amazon API GatewayAmazon S3Amazon CloudFrontAWS CodeBuildAWS CodePipelineAmazon CloudWatchOpenSearchAmazon BedrockAmazon SageMaker JumpstartHugging FaceRAGbitsandbytesFlan-T5-XLOpen AssistantMPTFalcon
Outcome
Open Arena reached over 1,000 monthly internal users within a month of launch, with an average interaction time of 5 minutes per user, and generated an influx of new AI use cases across Thomson Reuters's global teams.
Results
Time savedover 1,000
Volume5 minutes per user
Grounding & classification
Source type: technical build writeup
41 fields verified against source quotes, 3 dropped as unverifiable.
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