Wesco Chatbot

Shalini AI built organization-specific assistant (chatbots) designed to help employees quickly find accurate answers from internal policies, procedures, and documentation—reducing time spent searching and improving consistency in day-to-day work. It also offers optional document review capabilities, allowing users to upload PDFs and receive instant feedback on documentation completeness, such as identifying missing narrative elements or potential compliance gaps.

This enables supervisors and staff to proactively address issues, enhance quality, and maintain regulatory standards. In short, it delivers reliable answers from your own materials while supporting smarter, faster documentation review—tailored to how your organization operates. 

Technologies Used: RAG, Open AI, Langchain

Year: 2005

Agentic AI Agent

Shalini AI implemented agentic AI enabled organizations to move from passive document review to a proactive, automated auditing system that continuously monitors documentation for completeness, accuracy, and compliance. In this approach, intelligent agents are configured to analyze uploaded or generated documents against predefined policies, regulatory requirements, and internal standards. These agents can identify missing elements, inconsistencies, or potential compliance risks in real time, eliminating the need for manual review.

When gaps are detected, the system automatically triggers alerts to the appropriate staff or supervisors, ensuring timely intervention before issues escalate. Beyond flagging problems, the agentic AI can also generate actionable recommendations or draft solutions to address missing or incomplete sections—such as suggesting required narrative details, prompting for specific data points, or guiding users on how to meet documentation standards.

This creates a closed-loop workflow where documents are not only audited automatically but also improved continuously through intelligent feedback. The result is faster processing, reduced human error, improved compliance, and higher-quality documentation, all while allowing staff to focus more on core responsibilities rather than administrative review tasks.

Amazon Technologies Used: Bedrock, Titan Embeddings, OpenSearch Service, Aurora PostgreSQL, S3, Lambda, Glue, Textract, Step Functions, API Gateway, AppSync, CloudWatch, SNS, IAM, KMS

Year : 2005 - Till Date