AI Knowledge Management Platform
A global, full-service provider of technology, data, and creative solutions for live environments like venues and major events — founded in 2009, with 5,000+ projects delivered — wants to scale access to AI (LLMs) company-wide while controlling licensing costs. Its AI users split into heavy daily users and a large group of occasional users, for whom full licenses are expensive and inefficient, and public AI use creates confidentiality risk and fragmented knowledge sharing. Built an MVP internal AI knowledge management platform.
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Democratize AI access and improve its effectiveness across the organization with a knowledge management platform that supports safe, cost-efficient AI usage — without provisioning full advanced licenses for every user.
Students acted as a Digital-First Consulting Team, designing and implementing an internal AI-enabled knowledge management platform on top of the partner's SharePoint repository, with a web-based UI and an LLM API. The platform gives secure, organization-controlled access to AI, with curated prompts and guided workflows for occasional users, a centralized prompt and document repository, protection of confidential information, accumulation of organizational knowledge, and a cost-efficient access model where the company pays only for token usage by occasional users.
An MVP of the platform with a modern web GUI, in which people can load documents into SharePoint so they are known to the LLM, search the repository via the LLM, submit requests through the LLM API with conversation and context tracking, and draw on an expandable library of prompts and strategies. Delivered with design and architecture documentation and a final presentation to executive leadership demonstrating the platform, explaining its architecture, and articulating how it can enable the workforce.