3 Automation Strategies to Overcome AI Governance Challenges
Discover the benefits of implementing automation strategies to tackle AI governance challenges and enhance your organization's productivity and drive innovation.
The integration of AI-powered tools like Microsoft 365 Copilot presents a transformative opportunity for organizations seeking to enhance productivity and innovation across their digital workspaces. However, the journey toward realizing the full potential of these advanced technologies extends far beyond initial implementation.
Our eBook, “3 Automation Strategies to Overcome AI Governance Challenges,” examines the top governance challenges when using generative AI (GenAI) in the digital workplace and provides practical solutions to overcome them.
Key Highlights:
- Proper workspace provisioning. Learn how to implement a robust authority delegation framework to reduce IT bottlenecks and maintain governance standards.
- Microsoft Teams and Groups access management. Discover how to automate security reports and policy enforcement to ease the burden on IT teams and ensure compliance with business policies.
- Data lifecycle processes. Understand the importance of automating information lifecycle policies to manage data effectively and reduce risks associated with data sprawl.
About 43% of organizations had deployed genAI for operational tasks, but only 11% have fully implemented responsible AI measures, which involve having AI-specific governance and risk management measures in place.
Why? The same survey finds that most organizations struggle to quantify the risk mitigation from having responsible AI strategies (29%), while for some, it is just not a budget priority (15%), or the leadership is unclear about its value (15%).
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