Webinar: How AI Reshapes Contract Lifecycle Management

Contract lifecycle management (CLM) has become one of procurement's fastest-modernising functions, with AI increasingly automating manual tasks such as intake, negotiation support and compliance monitoring.

According to the 2025 ProcureCon Chief Procurement Officer Report, 90% of procurement leaders are either exploring or actively deploying AI agents to streamline operations this year. These tools are reshaping how procurement teams manage complex contracting workflows and extract insight from vast volumes of procurement data.

Turning contract data into an asset

AI is making contract data, often the largest untapped resource within an enterprise, far easier to search and act upon. Modern platforms can extract clauses, obligations and pricing mechanisms, flag risk and surface alternatives aligned with existing playbooks, enabling procurement teams to negotiate faster and more consistently at scale.

Conversational interfaces are lowering the barrier to extracting value. Category managers can now query documents directly for specific detail or use dashboard interfaces to get instant answers, condensing what once took weeks of manual analysis into minutes.

Procurement teams face growing pressure to build resilience and compliance into their processes by design. AI agents are increasingly used to monitor renewals, SLAs and supplier obligations, triggering preventive action rather than retrospective fixes.

In an exclusive webinar held by Agiloft in association with Procurement Magazine, panellists look at how procurement teams are using this collaboration to drive smarter sourcing decisions and elevate their strategic impact.

Watch on demand now.

Navin Mahavijiyan, Head of Community at Agiloft; Donya Dyce, Legal Operations Manager at Apogee Therapeutics; and Margo Oshri, Director, Associate General Counsel at Snappy, discussed how AI and CLM are reshaping the function.

Efficiency gains meet integration pain points

The trio underscored how AI and CLM tools are already driving procurement efficiency, automating repetitive processes, reducing costs and strengthening supplier risk management. Platforms such as Agiloft were highlighted for their ability to centralise data and give different roles tailored access to what they need. But the conversation didn't shy away from the challenges. Speakers pointed to persistent integration pain points, noting that while standalone tools like ChatGPT can offer quick fixes, disconnected systems often create fragmented workflows that slow tasks down rather than speed them up — a reminder that true efficiency depends on cohesive systems, not just clever tools.

A recurring message throughout the session was the need for strategic, not reflexive, AI adoption. AI can complement existing technology, but it won't repair broken processes on its own. Panellists advised procurement teams to map their pain points and workflows before investing, to avoid ending up with redundant or overlapping software. The discussion also addressed procurement's evolving role, shifting from a traditionally reactive function to one expected to anticipate challenges and prove its value beyond cost savings alone — often with limited headcount. AI's data-driven insights, panellists argued, are central to making that shift possible.

The speakers highlighted the growing pressure from the C-suite to adopt AI at pace, but cautioned against rushing in without clear objectives. The advice was consistent: audit what your organisation already has, then integrate AI strategically to optimise the existing tech stack rather than adding to it unnecessarily.

Watch the full session on demand to hear the complete discussion, including practical frameworks for evaluating AI tools and real-world examples of integration done right.