# From Planning to Performance: Mastering Contract Intelligence Implementations

By MarketScale · Published 2025-04-30 · Updated 2026-06-08 · Professional AV on MarketScale
Canonical: https://www.marketscale.com/industries/pro-av/from-planning-to-performance-mastering-contract-intelligence-implementations
Creator hub: Icertis

> Organizations risk wasting resources on contract intelligence tools without a structured implementation strategy that bridges planning and measurable business o

## Key points

- Successful CLM implementations require clearly defined business outcomes and change management.
- Preparing data infrastructure is crucial for leveraging AI in contract intelligence.
- Post-launch strategies and governance are vital for ongoing CLM success.

Block Field

As [contract lifecycle management (CLM)](https://marketscale.com/industries/podcast-network/icertis/reimagining-clm-alistair-maiden-on-human-centered-contracting-in-the-age-of-ai/) 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](https://marketscale.com/shows/icertis/), host [Bernadette Bulacan](https://www.linkedin.com/in/bernadettebulacan/), Chief Evangelist at Icertis, welcomes [Manish Kedia](https://www.linkedin.com/in/mkedia/), CEO and Co-Founder of **CloudMoyo**. Together, they explore best practices for [CLM implementations](https://whatfix.com/blog/clm-implementation/), 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. 

### About the Speakers

**Manish Kedia** is the CEO and Co-Founder of [CloudMoyo](https://www.cloudmoyo.com/), 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.

Tags: AI in contracts, change management, CLM implementation, CloudMoyo, contract intelligence, digital transformation, enterprise integration, Icertis

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