Implementing AI Contracts: A Playbook for Success with Workday

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Workday, a leading provider of cloud-based software for finance and HR, has recently released a new implementation playbook for contract AI technology. The playbook outlines actionable steps that companies can take to scale the use of contract AI technology, exploring strategies to expand its application, and effectively measure success in legal operations.

The Legal Contract Data Analytics Program Manager overseeing the Evisort program for Workday’s Legal, Compliance, and Corporate Affairs organization, Kristi Johnson, is leading the efforts to implement the playbook. Johnson has a passion for innovating operations and helping others become more efficient through the use of artificial intelligence and machine learning.

The playbook aims to help companies overcome challenges in the adoption of AI technology by providing a clear roadmap for implementing it successfully. Many organizations are still hesitant to embrace AI due to concerns over security, accuracy, and the impact on jobs.

However, Workday’s playbook aims to address these issues head-on by outlining a clear strategy for deployment. It covers everything from building a business case, identifying the right use cases, selecting the right vendor, and setting up the necessary infrastructure to manage the deployment.

One of the key benefits of contract AI technology is that it can save companies significant amounts of time and money by automating repetitive tasks. For legal operations teams, this means more time to focus on higher value work like contract negotiations and strategic decision-making.

Johnson believes that the playbook will be a valuable resource for organizations looking to scale their use of contract AI technology. She advises organizations to start small and focus on specific use cases initially, ensuring that they have the right infrastructure in place to support the deployment.

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In conclusion, the implementation playbook from Workday offers a comprehensive guide to scaling the use of contract AI technology. The playbook offers actionable steps, strategies, and insights to help organizations maximize the benefits of AI while mitigating potential risks. With the right approach, companies can successfully adopt AI technology to improve their legal operations and overall business performance.

Frequently Asked Questions (FAQs) Related to the Above News

What is the new implementation playbook for contract AI technology?

The new implementation playbook for contract AI technology is a guide released by Workday that outlines actionable steps that companies can take to scale the use of contract AI technology. It explores strategies to expand its application, and effectively measure success in legal operations.

Who is leading the efforts to implement the playbook at Workday?

Kristi Johnson, the Legal Contract Data Analytics Program Manager overseeing the Evisort program for Workday's Legal, Compliance, and Corporate Affairs organization, is leading the efforts to implement the playbook.

What are the challenges in the adoption of AI technology?

Many organizations are still hesitant to embrace AI due to concerns over security, accuracy, and the impact on jobs.

How does the implementation playbook address these issues?

The implementation playbook from Workday aims to address these issues head-on by outlining a clear strategy for deployment. It covers everything from building a business case, identifying the right use cases, selecting the right vendor, and setting up the necessary infrastructure to manage the deployment.

What are some benefits of contract AI technology?

One of the key benefits of contract AI technology is that it can save companies significant amounts of time and money by automating repetitive tasks. For legal operations teams, this means more time to focus on higher value work like contract negotiations and strategic decision-making.

What is Johnson's advice for organizations looking to scale their use of contract AI technology?

Johnson advises organizations to start small and focus on specific use cases initially, ensuring that they have the right infrastructure in place to support the deployment.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Jai Shah
Jai Shah
Meet Jai, our knowledgeable writer and manager for the AI Technology category. With a keen eye for emerging AI trends and technological advancements, Jai explores the intersection of AI with various industries. His articles delve into the practical applications, challenges, and future potential of AI, providing valuable insights to our readers.

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