Anonymized case studyB2B services platform (confidential)

AI operations assistant

An AI assistant that helps operations staff find and compare options across internal data and external providers, with controls on what it may do.

.NET
LLM APIs
agent orchestration
vector search
Azure

This work is under confidentiality and is described without names, figures or internal details.

01The challenge

Every request required reading many sources, comparing structured and unstructured information and repeating the same manual steps. A generic chatbot would not help; the assistant needed real access to systems, permission awareness and predictable behavior.

02The solution

The assistant was built as an agent-based workflow: tools that query internal services and external APIs, retrieval over relevant documents, and guardrails that keep actions within an approved set. Every step is logged so results can be explained and improved.

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