Own the integration around the model
My responsibility included API design, security and deployment strategy, as well as the LLM integration itself.
Enterprise document AI
Architecture and delivery of an LLM-powered platform for document analysis, extraction, contextual summaries and structured workflow responses.
- My role
- Solution architect, Flame-Ware Solutions
- Delivery stage
- Production
- Customer
- Anonymised
THE CUSTOMER PROBLEM
What needed to change.
An enterprise customer needed a platform that could analyse structured and unstructured business documents, extract relevant information and produce contextual summaries and structured responses for operational workflows.
MY RESPONSIBILITY
What I owned.
Led architecture and multidisciplinary delivery. Owned LLM integration, API design, security and deployment strategy, with validation, access controls, logging and human review.
CONSTRAINTS & PRIORITIES
What shaped the approach.
- The architecture had to connect document processing and LLM generation with the customer's operational workflows.
- Sensitive outputs required validation, access controls, logging and human review.
- The solution needed a supported production deployment and ongoing development, alongside the initial implementation.
ARCHITECTURE & DELIVERY
How the work fitted together.
- 01
Document-processing pipelines
Structured and unstructured business documents were processed for analysis and information extraction.
- 02
.NET services and LLM integration
.NET backend services, REST APIs, SQL Server and LLM generation supported contextual summaries and structured workflow responses.
- 03
Validation and operational use
Access controls, logging, validation and human review for sensitive outputs formed part of the delivered solution.
TECHNICAL JUDGEMENT
Decisions and responsibilities.
Include review in the workflow
The architecture included validation and human review for sensitive outputs. Generated content was part of an operational process with controls.
Carry the design through delivery
I led backend developers, integration specialists and QA engineers through implementation, testing, production deployment and ongoing improvements.
THE RESULT
What was delivered.
Deployed for multiple operational users and recurring document workloads, with ongoing development and support.