Insights from beyond the buzzwords webinar: understanding AI in entity management
Over the past year, the conversation around AI in entity management has shifted. It’s moved from whether AI should be adopted to how it can be embedded within entity management frameworks and day-to-day workflows.
Despite increasing adoption, many teams are still navigating a crowded landscape of terminology, capabilities, and expectations. What does AI actually mean in practice? And where does it deliver the most value?
In our recent webinar, Beyond the buzzwords: understanding AI in entity management, our experts explored how organizations can move beyond the hype and begin applying AI in a meaningful, controlled way.
What was covered in the webinar
1. Why AI is reshaping entity management workflows
From document handling to compliance monitoring, AI is rapidly changing how teams manage data, reduce manual effort, and improve accuracy.
2. The difference between automation, machine learning, and AI
Understanding how these technologies build on one another is key to identifying where value can be realized, and where expectations need to be reset.
3. How generative AI (GenAI) is changing how teams work with entity dat
From summarizing complex documents to extracting and structuring information, GenAI enables faster, more intuitive interaction with data using natural language.
4. What sets AI agents apart, and why they matter
Moving beyond single responses, AI agents can reason across data, perform multi-step tasks, and surface risks or insights that would otherwise require significant manual effort.
Bringing AI into practice
The session also demonstrated how these capabilities can be applied within an entity management environment. Using Computershare’s Entity Management System, GEMS™, the experts showed how teams can:
Automatically extract, tag, and categorize entity documents
Summarize and query complex records using natural language
Populate entity data from unstructured inputs, such as emails
Identify compliance risks and overdue filings across jurisdictions
These demonstrations highlighted how AI can be embedded directly into existing workflows, helping teams reduce manual effort while maintaining visibility and control over their data.
From AI experimentation to implementation
One of the clearest takeaways from the session is that AI adoption is entering a new phase. As organizations integrate AI into existing governance models and workflows in a way that supports control, transparency, and accountability, the technology continues to evolve. Capabilities such as document intelligence, automated data population, and risk identification are already helping teams save time and reduce complexity, while emerging agentic workflows are beginning to support more strategic decision-making.
Watch the full session
Discover how these AI capabilities work in practice. Complete the form below to watch the full webinar for live demonstrations within GEMS and practical examples that show how teams are already applying AI in their entity management.
Book a free GEMS
demo today
If you’re interested in seeing GEMS AI in action and want to learn more about how it can help improve your entity management processes, contact our team to arrange a free demo.