From Planning to Performance: Mastering Contract Intelligence Implementations
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.
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.
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A successful CLM implementation begins with clearly defined business outcomes, the right technology partner, and a deep investment in change management.
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Organizations must prepare their data infrastructure—“knowledge operations”—to fully leverage AI and digitize static contract data.
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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.