back_office_ops · energy · workflow
DXC Technology builds LLM-powered AI assistant for oil and gas data exploration on Amazon Bedrock
Oil and gas companies need to discover new drilling sites and reduce time to oil, but their data is scattered across remote sites and offices, non-standard, and spans a wide variety of formats including spreadsheets, satellite images, GIS data, and industry-specific LAS files — making data exploration slow and costly.
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 natural language query
A user submits a natural language question about oil and gas data to the AI assistant chatbot.
Tools used
Anthropic's ClaudeAmazon BedrockAmazon Bedrock Knowledge BasesAmazon S3LangChainlasio
Outcome
Data exploration tasks that previously took hours can now be achieved in just a few minutes, dramatically reducing time to first oil for DXC's oil and gas customers.
Results
Time saveddramatically reducing
Grounding & classification
Source type: technical build writeup
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