{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Margin","title":"The Contract Intelligence Gap: Praful Saklani on Unlocking Revenue Hidden in Contracts","html":"","width":"100%","height":180,"duration":1639,"description":"Episode OverviewIn this episode of The Margin, MGI Research Managing Director Andrew Dailey speaks with Praful Saklani, CEO and Co-founder of Pramata, to examine why contracts remain one of the largest untapped sources of enterprise intelligence. Despite years of investment in contract lifecycle management (CLM), e-signature platforms, and digital repositories, many organizations still struggle to answer basic operational questions about customer commitments, pricing agreements, renewal opportunities, and contractual obligations because the underlying information remains fragmented across documents and disconnected systems.Drawing on decades of experience building contract intelligence platforms, Saklani explains why contracts should be viewed not as legal documents, but as strategic business assets that influence revenue growth, profitability, customer relationships, and operational execution. The discussion explores why traditional CLM implementations often fail to deliver enterprise-wide value, how generative AI is transforming the extraction and interpretation of unstructured contract data, and why successful AI adoption depends on transparency, governance, and domain expertise rather than simply deploying large language models. The conversation concludes with Saklani's perspective on AI-first enterprises, implementation transformation, and the future of contract-driven business intelligence.Key Analytical TakeawaysContracts as Enterprise Intelligence: Why customer and supplier agreements contain critical operational, financial, and commercial information that extends far beyond legal compliance and should be treated as a strategic enterprise data asset.Why Traditional CLM Falls Short: How contract lifecycle management systems often succeed at document storage and workflow automation but struggle to capture the negotiated complexity, historical context, and interconnected relationships that drive business decisions.Generative AI Beyond Document Search: Why AI...","thumbnail_url":"https://img.transistorcdn.com/vJ8JXYTr7sDHx1LU_X9M7E8n3ZnJyRhiDaGvLD2oa_U/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZmFj/NTk3YWNjNmRiNjg1/OTBmMGM1MjI5YTBk/MjIxZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}