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Thomson Reuters builds an agentic platform engineering hub with Amazon Bedrock AgentCore

Thomson Reuters' Platform Engineering team relied on semi-automated, manual processes for cloud infrastructure and operational tasks. Engineers repeatedly answered the same questions and executed identical workflows across multiple teams, creating delays and preventing innovation.

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 request via web portal
Internal users submit operational requests through a custom web portal authenticated against TR's enterprise SSO.
Tools used
Amazon Bedrock AgentCoreLangGraph · partnerAmazon DynamoDBAmazon API GatewayAmazon S3AgentCore MemoryAgentCore RuntimeAgentCore GatewayTRACKReact
Outcome

Thomson Reuters achieved a 15-fold productivity gain and 70% automation rate at first launch, with autonomous agents handling complex operational workflows end-to-end around the clock.

Results
Volume15-fold
Source

https://aws.amazon.com/blogs/machine-learning/how-thomson-reuters-built-an-agentic-platform-engineering-hub-with-amazon-bedrock-agentcore?tag=soumet-20

How we source this →

Grounding & classification
Source type: technical build writeup
37 fields verified against source quotes.
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