By stack
Azure and GenAI / LLM
A nine-agent LangGraph document-generation workflow and a Retrieval-Augmented Azure OpenAI assistant, both run end to end with retrieval tuning, cost control and a truthfulness constraint.
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Vergence: Automated Data Quality and Reconciliation Pipeline
A controls-first pipeline that measures where two independent sources disagree, with one language-model step held behind a human approval gate.
7 controls registered, 7 run
9 exceptions traced to 5 planted defects19 columns resolved from the registry on the second run, zero model callsByte-identical exception register across three mapping paths16 tests, all passing
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By stack Featured
Agentic AI Workflow for Scalable Document Generation
A nine-agent LangGraph orchestration that generates tailored application documents with a hard truthfulness constraint.
50% lower estimated per-row cost
Batch time cut from 37 hours to under 8 hours for 200 applications9 agents across 12 modules
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Retrieval-Augmented Azure OpenAI Assistant
An internal knowledge assistant that answers staff questions on products, policies and procedures in natural language.
Replaced manual portal searches with natural-language access
Reduced follow-up questions from frontline staff
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