Agiloft unveils AI tool to track & manage contracts

Agiloft has introduced an AI-driven obligation management product that extracts and tracks post-signature commitments in contracts, as the contract lifecycle management specialist moves further into what it describes as an AI-native approach to the field.

The new Obligation Management product sits on top of Agiloft's existing contract lifecycle management (CLM) platform. The company said it converts clauses in agreements into structured data that organisations can monitor across functions such as legal, procurement and finance.

Agiloft framed the launch against research from PwC that indicates companies can lose between 5% and 9% of annual revenue through poor oversight of obligations. These obligations include deliverables, service level agreements, renewals, compliance requirements, payments and milestones.

The company said many organisations still rely on manual tracking of these commitments and often do not assign clear ownership for follow-up after a contract is signed.

"Enterprises today manage thousands of contracts, and the cost of missed obligations - whether penalties, compliance failures, or missed revenue - is staggering," said Andy Wishart, Chief Product Officer, Agiloft. "With our new Obligation Management capabilities, we are giving enterprises data-rich tools for modern business transformation: to turn every contractual commitment into actionable insight, capture real business value, mitigate risk, and turn obligations into measurable outcomes."

AI-based extraction

The product centres on AI-based extraction of obligations from contract documents. Agiloft has introduced a feature called Screens Run Action, or SRA. Users send a contract through Agiloft Screens with a single click. The system analyses the document, identifies key obligations and returns them into the Agiloft platform.

The extracted obligations sit in a dedicated data model. The company said this model uses linked tables designed for tracking tasks, deadlines and dependencies. Organisations can then connect obligations to named owners, configure reminders and escalations, and set up cross-functional workflows.

Agiloft has also created a library of standard obligation categories. Legal experts working with the company have defined out-of-the-box types under headings such as Financial, Delivery, Service Levels, Termination, Confidentiality, Regulatory, Data and Insurance. These categories act as a starting point for procurement and legal teams that want a consistent structure for obligations across contracts.

For businesses with specific needs, Agiloft has introduced Custom Obligations. Users can take a community-provided obligation template and adjust it. They can also copy and edit an existing obligation screen and preserve the link back into the core platform. The aim is a customised extraction experience that still feeds standard dashboards and workflows.

Tracking and dashboards

Once obligations are in the system, Agiloft's platform supports task assignment and ongoing tracking. Users can assign items to individuals or teams and set due dates. The software issues automated reminders and can escalate overdue obligations.

New interface views display obligations directly within each contract record. The product also includes prebuilt dashboards that show upcoming commitments, overdue items and potential risk areas. Agiloft said this view helps organisations identify possible lost revenue, looming deadlines, compliance issues and financial penalties.

Screens enhancements

Agiloft is also updating its Screens product, which uses large language models for contract review and redlining. The update introduces a redlining configuration panel. Contract teams can specify preferred wording for edits and select a more direct or more conservative redlining style. They can add default explanations for suggested changes.

Agiloft said this configuration helps organisations keep contract edits aligned with internal policies and drafting standards. The AI still generates suggested language, but it does so within the guardrails set by the legal or commercial team.

Agiloft has also introduced role-based permissions within Screens. The new roles are Admin, Editor and Reviewer. The company said these controls give customers more say over who can create and modify playbooks and who can only review, which is intended to protect established playbooks while allowing wider deployment of the tool.

Morning Consult, a decision intelligence and AI company, is among the early users of Screens. "Agiloft Screens is evolving how we manage and review contracts," said Scott Han, Senior Associate Counsel at Morning Consult, a global decision intelligence and AI company. "By implementing our company standards directly into Screens and leveraging AI-assisted review and analysis, Screens is driving standardization and efficiency for our team. Whether we are reviewing inbound or outbound contracts, the ability to quickly redline and ensure compliance has been streamlining our workflow and reduced review times. We are eager to expand our use of Screens to further improve our review process and unlock even more value across our organization."

AI-native roadmap

Agiloft positions the obligation management launch as part of a longer-term move towards a more automated contract environment. The company describes its approach as "data-first" and said the goal is a contract system that acts as a source of operational insight rather than a static repository of documents.

"This launch is only the beginning," added Wishart. "Agiloft is on an agentic AI journey, building toward a future where AI can actively collaborate, reason, and take meaningful actions across the contract lifecycle. Obligation Management is the latest step in that direction, and many more are already in development."