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From Planning to Performance: Mastering Contract Intelligence Implementations

The article highlights the importance of a structured implementation strategy for contract intelligence platforms to realize their full potential. AI-driven solutions now transform contract data into valuable strategic assets for businesses. Successful adoption demands a combination of technology, people, and process insights.

This story was produced through MarketScale. See how Professional AV teams put it to work with Customer Stories & Case Studies.

Promoted content from Icertis on MarketScale.

By MarketScale · · Ai in ContractsChange ManagementClm ImplementationCloudmoyo
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Key takeaways

01

Successful CLM implementations require clearly defined business outcomes and change management.

02

Preparing data infrastructure is crucial for leveraging AI in contract intelligence.

03

Post-launch strategies and governance are vital for ongoing CLM success.

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As contract lifecycle management (CLM) tools evolve, organizations are increasingly recognizing the strategic value of contract intelligence platforms. With AI transforming the way businesses manage legal agreements, the stakes are higher than ever—especially given that contracts govern 60–80% of business operations, according to WorldCC. However, realizing value from contract intelligence requires more than just technology—it demands a thoughtful implementation strategy that balances people, processes, and platforms.

Realizing value from contract intelligence requires more than just technology—it demands a thoughtful implementation strategy that balances people, processes, and platforms.

So, what does it take to successfully implement a contract intelligence platform and unlock its full potential—both at launch and in the long run?

In this episode of Fast Track of Icertis, host Bernadette Bulacan, Chief Evangelist at Icertis, welcomes Manish Kedia, CEO and Co-Founder of CloudMoyo. Together, they explore best practices for CLM implementations, including integration strategies, change management approaches, and preparing organizations to embrace AI-driven contract intelligence.

  • A successful CLM implementation begins with clearly defined business outcomes, the right technology partner, and a deep investment in change management.
  • Organizations must prepare their data infrastructure—"knowledge operations"—to fully leverage AI and digitize static contract data.
  • Integration strategies and post-launch governance are essential for treating CLM as a living, evolving system that feeds performance and compliance across the enterprise.

Manish Kedia is the CEO and Co-Founder of CloudMoyo, a leading provider of digital solutions and AI-driven contract intelligence services. With decades of experience in enterprise software and digital transformation, Kedia has helped Fortune 500 clients optimize business operations across legal, procurement, and IT functions.

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About the Experts

M
MarketScale

Chief Evangelist at Icertis

Bernadette Bulacan is the Chief Evangelist at Icertis. She has extensive experience in the field of contract intelligence and works to promote the strategic advantages of AI-powered contract management solutions. Her work involves engaging with key stakeholders to drive successful implementations of contract lifecycle management platforms.

MK
Manish Kedia

CEO and Co-Founder

CloudMoyo

Manish Kedia is the CEO and Co-Founder of CloudMoyo, a leading provider of digital solutions and AI-driven contract intelligence services. With decades of experience in enterprise software and digital transformation, he has helped Fortune 500 clients optimize business operations across legal, procurement, and IT functions.

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