Adaptive contracting

A three part report series

In collaboration with

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Series introduction

Organizations today are discovering that their approach to contracting was built for a world that no longer exists. Rigid structures designed for predictability now act as barriers to performance in an environment defined by volatility and continuous change.

This three-part report series, Adaptive Contracting, provides a roadmap for business process reinvention. We move from identifying the systemic failures of siloed operating models to exploring the transformative power of agentic AI and the new human-centric roles required to lead in a digital-first commercial ecosystem.

Adaptive contracting series - 1

Webinar: Adaptive Contracting for an Unpredictable World

16 March 2026│3:00 pm - 4:00 pm (GMT)

Part 1: Business process reinvention for contracting

Organizations are discovering that their approach to contracting was built for a world that no longer exists. Structures designed for predictability, efficiency, and control now act as barriers to performance in environments which are characterised by volatility, interdependence, and continuous change. The decades of investment in technology, templates, and process standardisation have not equipped us for the adaptive, resilient commercial capabilities that we need. The evidence is clear: WorldCC benchmark data shows persistent value erosion, slow cycle times, and widespread frustration with fragmented decision-making and inaccessible data. The root problem will not be fixed through new technology or contract re-design alone: it is the operating model which must change. 

The contracting operating system shift

Adaptive contracting series - part 1 - figure 1

Part 2: Accelerated Contracting through Agentic AI

The human-machine system

Adaptive contracting series - part 2 - the human machine system hold
Organizations are discovering that their approach to contracting was built for a world that no longer exists. Structures designed for predictability, efficiency, and control now act as barriers to performance in environments that are characterised by volatility, interdependence, and continuous change.
 
Part 1 of this series argued that today’s commercial environment, shaped by volatility, interdependence, regulatory change, and rising market demands, can no longer be served by a contracting model built for linear processes and predictable conditions. It introduced a new commercial operating model and the emerging role of the ‘Commercial Integrator’, the cross-functional orchestrator responsible for ensuring commercial coherence across the enterprise.
 
In this second part of our three-part series, we move from principle to practice. Our purpose is to show what accelerated contracting through agentic AI looks like in tangible, operational terms. This is not a futuristic vision; it’s an attainable system for improving speed, quality, insight, governance, and value. The new system has five goals, see below. The result is a view of human-machine collaboration in contracting that is both ambitious and realistic, creating a system in which AI accelerates work and humans accelerate value.
 
Agentic AI is not speculative; major enterprises are already deploying agents to monitor performance, surface change impacts and support cross-functional governance with high levels of accuracy.
 
“The agents work together to create a connection in an end-to-end process which engages multiple steps, multiple stakeholders, and multiple interests.”

Part 3: Contract design of the future

For too long, contracts have been designed in a static, well-worn format aimed at readability and interpretation by a relatively narrow cohort of experts, such as contract managers and lawyers.
 
Some improvements may have emerged over the years in the form of technical schedules and tables of responsibilities, which are aimed at a wider audience. However, the traditional contract format remains a far-from-ideal artifact in supporting contract delivery. With the rise of agentic capability, contracts suddenly have the potential to assume their rightful role as the ‘lifeblood’ of the enterprise. Complete and accurate extraction of deliverables is, of course, the holy grail for any contract manager, but with agentic AI, that is only the first step.
 
The contract is, if you like, the ‘DNA’ which sits at the heart of an organization’s business platforms. It is no longer something which is ‘written down’ and referred to day to day or week to week. The information within it instead fires the agentic connections and workflows that bring to life essential business activities, obligations, and information flows. For example, workflows are needed to deliver contractual obligations, monitor their progress, and connect with other vital enterprise elements such as resourcing, finance, component procurement, subcontractors, risk, and quality.
 
Agentic contract workflows are already being deployed in some of the most complex construction and infrastructure domains to link elements that otherwise rely on manual extraction and matching. Suddenly, we can create cross-functional alignment to enable effective work scheduling, site permissions, component timing, subcontractor alignment, and contractual obligations. The contract information is no longer static / in one place – it is a dynamic set of data components working in concert with other enterprise data to enable the enterprise to achieve the contract objectives and beyond.
 
Given the foundational nature of contract data within the enterprise ecosystem, the first stage of evolution is for the contract ‘artifact’ to be physically written in a way optimized for AI reading. Organizations are actively experimenting with what approach works best, and the refinement process will continue.

Contract adaptability requires explicit choices

Adaptive contracting series - part 3 - Contract adapability choices
From a human perspective, the formatting of obligations into tables is often seen to add clarity. However, sometimes the results are not as expected in terms of whether they work as well for AI ' readership’. AI, which is familiar with natural language models, may struggle to interpret columns of text and detailed tables, although AI capability is improving all the time. Plain language is very important, as well as clarity as to dates and deadlines. For example, it may be better, if possible, to include actual dates rather than ambiguous references to the execution date.
 
Executability is the mantra, so it is particularly important to:
  • Clearly identify obligations, options, and conditions
  • Define measurable signals tied to performance or risk
  • Link contractual provisions to operational actions.
Examples might include:
  • A pricing adjustment clause operates a trigger tied to verified data inputs
  • A service-level failure generates an alert with defined enterprise actions or escalation paths (perhaps linking seamlessly via an orchestration agent across technology, CRM, contract and finance/billing systems)
  • A variation mechanism initiates a controlled decision workflow, rather than an ad hoc negotiation.

Webinar: Adaptive Contracting for an Unpredictable World

16 March 2026│3:00 pm - 4:00 pm (GMT)

Written by

Tim Cummins Follow me on LinkedIn

President
WorldCC

Resources

From webinars to articles and events we have a whole host of resources to help you on your journey to AI excellence.

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AI in contracting 2026

Curious to see how the AI revolution in contracting has progressed? Download the 2026 report, "AI in Contracting: From experimentation to impact," for key insights and analysis that provide critical context for the latest Adaptive Contracting findings and strategic trends.

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Articles

Our Content Hub boasts an extensive collection of AI articles, delving into the transformative impact on contracting and commerce. As leaders in the field, we offer valuable insights and thought-provoking content, illuminating AI's revolutionary potential in the contracting landscape. 

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AI Contracting Clinic

As AI's role grows, this clinic moves beyond buzzwords to show what actually works. This series offers live case studies, frameworks, debates and examples of real business impact. Join practitioners and experts to solve contracting problems with AI and help you understand where AI fits in your contracting lifecycle. 

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