Keyword search forced teams to dig for data. AI now synthesizes answers across documents to populate business dashboards.
An IT services company operates a Digital Content Monetization platform housing over 50 features and massive repositories of unstructured content.
Traditional keyword search limited users to finding paragraphs with exact matches, failing to synthesize information across documents for...
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Staff interrupted supervisors to find documents. A GenAI chat now interprets natural language to surface rulebooks instantly.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
Keyword queries missed English docs. A hybrid vector model now bridges languages, halving search time and hitting 95% accuracy.
300,000 applications bottlenecked hiring. AI now ranks talent and a Teams bot handles admin, cutting time-to-hire by 43%.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.