Your organization’s most valuable insights are often hidden in plain sight—buried in contracts, client files, reports, and records scattered across file shares, inboxes, and legacy systems.

AI Enrichment changes that.

AI Enrichment is the process of Automatically Identifying Your Content—using AI to read, understand, and tag your documents at scale. It transforms unstructured, disconnected content into structured, organized, and accurate information that’s easy to search, analyze, and use.

In this exclusive online event, our Product Experts, Darcy Manderson and Chris Landry will show you first-hand on how to extract the true value from your data with real-world use cases so that you can organize, search, and action your data at scale effortlessly. 

🧠 Automatic Content Identification & AI Enrichment Explained

• What AI Enrichment is and how it works in plain language.

• How automatic content identification reads and understands documents at scale.

🤖 Shinydocs AI Enrichment in Action

• Creating structured datasets for analytics, dashboards, and decision-making—without manual effort.
  
  
• Real-world Use cases of tagging files across multiple repositories to organize and identify sensitive or misplaced information automatically (PII, contracts, client files).
  
  

• Real-world Use cases to find the exact file you need in seconds using AI Search—across all repositories (without exposing your data to us or third parties). Generating summaries, extracting key details, and even creating reports, PPT slides from your documents instantly.

💬 Live Q&A

• Bring your questions and get real-time answers from our experts.

This session is for anyone responsible for managing, securing, or leveraging enterprise information, including:

• Business Leaders & Decision-Makers – Executives driving growth and efficiency.

• IT & Data Management Professionals – Overseeing systems, architecture, and search.

• CIOs, CTOs, CISOs & Heads of AI – Leading technology, security, and AI strategy.

• Data Governance, Compliance & Records Managers – Ensuring classification, compliance, and discoverability.

• Legal, Risk & Operations Leaders – Reducing exposure and improving workflows.

• Analytics & Knowledge Management Teams – Turning data into business value.