Boosting Knowledge Access with RAG-Powered Personal AI Agents
The Challenge
A global organization with teams spread across multiple departments was drowning in documents. Important knowledge was locked away in PDFs, wikis, decks, and email threads, causing inefficiencies and constant interruptions to subject matter experts. Employees wasted hours every week trying to find the right information, delaying decision-making and collaboration.
Srinergy.ai’s Solution
We deployed a RAG-powered personal AI agent trained on the company’s internal knowledge base. It used advanced document embeddings and vector search to retrieve accurate information and present it in context-specific, human-readable responses. The assistant was accessible via Slack and web app, making it a seamless addition to daily workflows.
Deployment Highlights
- Indexed 15,000+ internal documents
- Integrated with file systems, SharePoint, and internal wikis
- Applied role-based access controls and full auditing
- Feedback loop to refine answer quality with human ratings
Business Impact
| Metric | Before AI Agent | After AI Agent | Improvement |
|---|---|---|---|
| Avg. time to find project docs | 22 min | 2.5 min | ↓ 89% |
| Onboarding ramp-up time | 8 weeks | 5 weeks | ↓ 37% |
| SME interruption frequency | 4x/week | 1x/week | ↓ 75% |
| Accuracy of retrieved answers | Inconsistent | 92% match | ↑ Quality |
