Case Studies

AI-Driven KnowledgeAccess Chatbot

Directed Action connected with Agentic Innovations while facing slow access to key data. We built an AI chatbot powered by a RAG system that automatically indexes and retrieves answers from internal documents. This automation cuts manual search time, minimizes errors, and lets teams focus on strategic initiatives.

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Directed Action Team
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| Know Our Partner

Directed Action's team of consultants helps clients lead their own way through strategic transformation. Started in 2005 with a commitment to building a values centric organization, the company drives improvement in processes with an approach that relies on a business centered analysis to achieve success and mitigate risk.

Directed Action Experiences
Directed Action Experiences

The original problem

Fragmented Data Access

Critical info was scattered across hundreds of PDFs, slowing down retrieval.

Manual Search Bottleneck

Employees wasted time manually searching for answers, causing delays.

The company was struggling with slow and inefficient access to critical information stored across hundreds of PDF documents. Employees often had to manually search through these files to find the answers they needed, which made Q&A sessions time-consuming, frustrating, and prone to delays. This bottleneck significantly impacted productivity and made it difficult for teams to quickly access the knowledge required for informed decision-making.

How we solved it

Centralized Indexing

Uploaded and indexed all PDFs into a secure, unified platform.

AI-Powered Q&A

Developed a RAG chatbot that delivers rapid, context-aware answers automatically.

To address this challenge, we developed a custom chatbot powered by a Retrieval-Augmented Generation (RAG) system. This solution allows the company to upload all of their internal PDFs into a centralized, secure platform. The RAG system indexes the documents and enables the chatbot to intelligently retrieve and generate answers based on the uploaded content. The result is an AI-powered Q&A system that delivers fast, accurate, and context-aware responses — all while maintaining strict data privacy and security protocols. Employees can now ask complex questions and receive concise, relevant answers within seconds.

The results of the solution

The primary challenge was the inefficiency of manually searching through hundreds of PDFs to find relevant information, which slowed down operations and made Q&A sessions time-consuming and frustrating. Our solution — a chatbot powered by a Retrieval-Augmented Generation (RAG) system — significantly streamlined this process. By enabling the secure upload and indexing of internal PDFs, the AI could instantly retrieve relevant information in response to user queries. This not only sped up information access but also reduced employee frustration, improved decision-making speed, and ensured that sensitive data remained private and secure.

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