Agiloft Establishes AI Operations Function
Contract lifecycle management firm Agiloft announced the creation of a dedicated AI Operations function and a new executive role to lead it. The company stated the move reflects a growing enterprise shift from experimental AI adoption to disciplined, organization-wide AI operations and governance. This highlights the increasing need for formal structures to manage AI implementation at scale.
- The new function will be led by Tejedor Ramos, who has been appointed as Agiloft's Head of AI Operations to advance the company's strategy across technology, data, and operations. - This move reflects a broader industry shift from experimental AI pilots to embedding AI as a core operational capability, with spending moving from innovation budgets to IT and business functions where ROI is critical. - Agiloft has seen significant growth in its AI platform, with its "Screens" AI user base increasing by 250% and overall application usage growing 12-fold as of November 2025, compared to December 2024. - More than 50% of the company's customer base, measured by annual recurring revenue, now licenses its AI functionality, signaling a move from initial trials to wider enterprise adoption. - The integration of AI is designed to evolve contract lifecycle management (CLM) from a static system of record into a source of actionable data for decision-making, with capabilities for predictive insights and risk mitigation. - For regulated fields like healthcare, formal AI governance is critical for ensuring that data used in AI models is secure, compliant with regulations like HIPAA, and ethically managed to prevent model bias and protect patient privacy. - A key architectural principle for Agiloft is its "white box AI" approach, which aims for transparency by linking every AI-driven suggestion back to the original source text in a contract. - User behavior on the platform shows a maturation in AI use; the most popular AI playbooks shifted from educational guides in late 2024 to those focused on deal acceleration and commercial risk by late 2025.
