How Contract AI is Transforming Procurement Workflows

It starts with seemingly simple requests: “Let’s onboard this vendor” or “It’s time to renew our contract with this vendor.” 

Procurement pulls up the shared drive. Legal has a different version saved locally. A redline from last week is circulating, but no one is sure it’s the final version. It takes longer than it should to answer a basic question: Which one is correct?

Moments like this don’t stop work entirely, but they can introduce real operational risks, like outdated versions being circulated, approvals happening on terms that aren’t current, or obligations slipping between handoffs. These are common industry-wide challenges, not tied to one organization, and they’re exactly the kinds of workflow gaps teams try to close with better processes. At the same time, expectations are increasing. Procurement teams are being asked to reduce costs, manage risk, move faster, and take on a more strategic role across the business. 

As one procurement leader at a large food and beverage company told us, “Procurement was more considered a clerk or a middleman, placing orders. Now it’s much more strategic, where the team is involved in negotiations, contracts, purchasing, and helping with the supply chain.” 

We spoke with procurement leaders across industries to understand how contract AI is changing both their individual roles and the industry as a whole, and the tension is clear: Their responsibility has increased, but workflows haven’t fully caught up—even as more procurement leaders begin exploring AI and other technologies to help close the gap. These tools support teams by improving visibility and consistency, while still relying on legal and procurement professionals for judgment and decision-making.

“What are the top strategic initiatives for your team in the coming 12 months?” —Docusign internal research, February 2026

Together, these priorities reflect a shift in how procurement teams are being asked to operate. The focus isn’t on a single outcome but on balancing cost, risk, and speed while working across increasingly complex workflows and cross-functional expectations. These themes showed up consistently in our February 2026 internal research, highlighting how teams are adapting rather than pointing to any one prescribed approach.

Expanded procurement responsibilities are outpacing team capacity

Procurement teams are still responsible for the traditional work of reviewing, negotiating, and executing contracts. But now they’re also being asked to contribute more directly to cost strategy, vendor performance, and broader business planning.

That expanded role shows up in everyday work with to-do lists that now include weighing in on vendor selection, supporting negotiations with data, and staying involved after contracts are signed to help track performance and outcomes.

The shift to greater impact is occurring without a corresponding increase in time or resources. In fact, in our February 2026 internal research,  only 8% of procurement leaders said adding staff is a strategic priority over the next year. 

Much of the work still relies on processes that weren’t built for this level of coordination across teams and systems. 

Manual procurement contract workflows can create delays, errors, and rework across the organization

Most procurement workflows are still hands-on. Sometimes a few steps in the process are digitized while others still rely on manual review and coordination, making it even harder to maintain consistency as contracts move through multiple rounds of redlining and approval.

It’s work that depends on people paying close attention to wording, fact-checking, and making changes and decisions, all while addressing other departmental priorities. 

As that load increases, even well-managed workflows begin to break down. In our February 2026 internal research, nine in ten procurement leaders said they struggle to locate contracts when needed, and more than half report recurring errors in contract management.

One technology director described a common frustration: “The biggest challenge we face in the contracting process right now is just back-and-forth with legal and the review of our redlines. There are multiple iterations of redlining that take place—redlines on one platform, then emailed to the vendor, so it just takes multiple rounds.”

When everything lines up, contracts can move forward. And yet it’s not unheard of for a version to move ahead before the latest edits are incorporated or to get approved without full visibility into prior revisions. 

Sometimes documents end up in the wrong hands entirely. Forty percent of procurement leaders report that this has happened to them. The costs of that common mistake can be significant, especially when sensitive data is involved.

These outcomes rarely result from a single failure. Instead, they highlight how much the process relies on people to keep everything on track along the way.

How visibility into procurement contracts breaks down after execution

Even after signing, contracts don’t always land in a single, easy-to-find location.

All too often, when someone needs to reference an agreement, they look for it in one system after another, checking folders, searching through emails, and then looping in colleagues to confirm that the version they found is the right one. 

Survey respondents reported that this process can take up to 30 minutes—and even longer in some cases.

One procurement director in the technology sector described what happens when that chain breaks entirely: “[A document can get lost] if it is with a certain person, not in the centralized repository, and that person has left the company.”

Many organizations have invested in central document hubs to address this, but a repository’s value depends entirely on how consistently people use it. Over time, legacy systems, partial migrations, and inconsistent data practices can leave gaps that become visible only when someone needs to find something quickly.

While AI adoption in procurement is moving ahead, consistency across workflows lags

The interest in AI for procurement makes sense. And in many cases, it grows alongside a team’s clear understanding of where time is being wasted, especially in repetitive tasks that move through the same steps each time.

The early use cases for contract AI in procurement have largely been focused on work where the process is predictable and high-volume, whether that’s reviewing standard vendor agreements, extracting key terms and obligations, or flagging nonstandard clauses.

As one supply chain manager said, “[The biggest opportunity for AI is the] automation of manual work and review, saving time in the whole process.”

Teams using AI for these types of tasks are already seeing gains in speed and consistency. For example, reviews that once required multiple passes are now completed more quickly and with fewer manual touchpoints. 

From there, more value comes from applying AI across the full procurement process, where contracts move between systems, stakeholders, and approval steps into areas like analyzing spend and identifying patterns.

As teams expand into these complex use cases, nuance becomes a bigger factor. If contracts are complex, varied, or open to interpretation, procurement teams may be less likely to depend on AI alone.

A technology director put it plainly: “I would want the complete legal review of the documentation done with AI, and any parameters that don’t match our standard procedures would be identified and pushed back to a human.”

It’s with these complexities where AI adoption for procurement tends to slow. Recent research from Deloitte and Docusign found the lowest level of agentic AI maturity among procurement respondents, with only 8% using agentic AI compared with other departments, like HR (22%) and sales (17%). For many teams, the question isn’t whether the technology has value, but how to apply it in a way that fits into the realities of how their work actually gets done.

Docusign internal research, February 2026

Investment is shifting toward intelligent contract ecosystems

As procurement teams look to address challenges like manual work, limited visibility, and disconnected workflows, investment is becoming increasingly focused.

Rather than adding siloed tools, the emphasis is shifting toward systems that bring structure to contract data and connect workflows from one step to the next. 

That often starts with contract data itself. Many procurement teams are working toward more standardized contract language because consistent, accurate information makes it easier to apply automation, track performance, and maintain visibility across agreements. 

When that foundation is in place, the downstream effects show up in everyday work: a contract that once required multiple follow-ups to track down can be pulled up more quickly. Approvals that previously stalled waiting on one person to move the process forward are now automatically routed for review.

Some procurement teams are starting at the very beginning. As one procurement leader in the food and beverage industry said: “Until recently, we didn’t have a CLM or a formal system in place.” 

From there, more advanced AI tools can support strategic decision-making, helping procurement leaders spot opportunities for vendor consolidation, lower risk, and realize cost savings.

A manufacturing procurement director painted the big picture: “The greatest opportunity will be in analyzing RFPs as well as large data sets of spend information to see where there might be opportunities. Being able to quickly slice and dice vendor spend across items and categories, and then spitting out areas to focus on—those are the things I want to see.”

Organizations that have made even the first step in this direction tend to see the impact in everyday workflows. Fewer manual handoffs, clearer visibility into status, and less time spent reconciling information across systems.

Procurement’s path forward for contract AI

Procurement is entering a period of transition and elevation. Contracts need to move more efficiently, costs must be controlled, and risk must be managed across multiple stakeholders. More and more, procurement teams are looking to AI to help achieve that balance, especially in areas where work is repetitive and time-consuming.

The teams moving forward are focusing on making incremental improvements to how work gets done. Instead of large-scale transformation, the focus is often on applying AI and automation in targeted areas of the workflow, like improving how contracts move from step to step, reducing time spent tracking down information, and creating a clearer view of what’s happening across agreements.

As teams build confidence with these targeted applications, they often expand into more advanced use cases. Early gains in speed and consistency can make it easier to explore higher-level and more strategic applications over time.