AI Business Operations Assistant

The challenge

Businesses lose time finding information scattered across documents, systems and inboxes, and repeating the same lookups for every new request.

Our concept

This showcase demonstrates an AI assistant concept capable of answering natural-language questions, summarising documents, searching internal knowledge, referencing business data and suggesting next steps for common workflow requests.

Solution architecture

• .NET backend orchestrating requests between the application and LLM APIs
• Vector search concept over internal documents for retrieval-augmented responses
• SQL Server for structured business data
• Cloud hosting with logging for review of AI-suggested actions

User experience

Every AI response surfaces its source documents or data alongside the answer, and workflow suggestions require explicit human confirmation before any action is taken, keeping a person in control of outcomes.

Example screens

Illustrative interface concepts — not screenshots from a live client system.

Potential business impact

Designed to help teams reduce time spent searching for information, using established LLM providers rather than a proprietary model.