How Enterprise Procurement Leaders Are Putting AI to Work

TL;DR

If you only have 30 seconds, here's what you need to know:

• Procurement has been asked to do more with less for years. Cut costs while strengthening supplier relationships, tighten compliance while speeding up decisions, and respond to market swings faster than ever, all without adding a single headcount.
• Agentic AI is finally closing that gap, and it does it by executing the work itself. Instead of handing buyers another dashboard of recommendations, AI agents now negotiate with suppliers, validate requisitions, while procurement teams stay in control of the rules, approvals, and strategy.
• Leading enterprise are using Pactum's AI agents to automate different parts of procurement. Ahold Delhaize USA is autonomously negotiating with suppliers, Honeywell is negotiating across its entire supplier base at scale, and SUEZ now clears purchase requisitions in minutes instead of days.
• Pactum helps procurement teams create measurable business value at scale. Honeywell has applied autonomous negotiation to more than $500 million in spend, SUEZ has reduced requisition cycle times by 90%, and Ahold Delhaize USA is seeing ROI within weeks.
  
• Autonomous negotiation is only one capability. Pactum's AI agents also review requisitions, validate purchases, investigate supplier claims, and execute work across the procurement lifecycle, from intake to signed agreement.

The capacity problem procurement can't hire its way out of

Procurement's real constraint is execution capacity: the plain fact that no team, however sharp, can personally negotiate, validate, and follow up on everything that lands in front of it. Costs still need to come down, supplier relationships still need tending beyond a quarterly check-in, every purchase still has to clear policy and contract terms no matter how fast the business needs it closed, markets keep shifting, and the list of suppliers, categories, and contracts a team is responsible for keeps growing, all while headcount stays exactly where it was last year.

Capacity is consumed long before the strategic work begins. Buyers spend hours reviewing routine requests, checking policies, validating supplier information, updating records, and handling exceptions. Individually, these tasks are necessary. Collectively, they crowd out supplier negotiations, sourcing initiatives, and the work that ultimately moves the business forward.

Procurement has changed. The operating model hasn't

Procurement's job today involves more suppliers, more categories, more market volatility, and more scrutiny on every dollar than it did a decade ago, but the way the work actually gets done hasn't kept pace. Most teams don't have time to negotiate with the majority of their suppliers, so priority goes to the handful of accounts big enough to justify the hours.

The people best equipped to do that work, the most experienced buyers and category managers, spend much of their week on operational tasks that don't need their expertise, while the strategic work they were hired for waits. And even when a negotiation happens and a saving gets logged, it doesn't always stick in the P&L, because there was never enough capacity left over to confirm it did.

That gap shows up everywhere:

• Scale is rationed by headcount - The biggest suppliers get the attention they deserve, and the smaller ones, which together represent real money, go untouched.
• There's no time to do the research - Validating a single supplier's claim against market data and building the case to defend a price can take hours, so most teams can only do that work for their most critical suppliers.
• Price lists drift away from the market - Contract prices only move when someone builds the case to renegotiate them, so as markets shift, the gap between what's being paid and what they actually support keeps growing.
• Manual review crowds out strategic work - As transaction volume grows, buyers spend more time checking compliance on routine requests than driving the sourcing initiatives that actually move the business forward.
• Growth outpaces the team's ability to keep up - More suppliers, more categories, and more market volatility all compete for the same fixed number of hours.

Procurement teams already know how to negotiate, validate, and review. The only thing standing between them and doing it at scale has always been time, and that's exactly what these three enterprises set out to give back to their teams.

How are enterprise procurement leaders using agentic AI today?

Leading procurement organizations are using Pactum's Digital Workers to execute routine procurement work autonomously across supplier negotiations, purchase requisition reviews, price list management, and supplier engagement.

Operating within approved commercial and governance guardrails, they move procurement beyond recommendations and into execution, giving teams the capacity to scale output, shorten cycle times, and capture value across far more suppliers without adding headcount.

In practice, this means:

• Supplier negotiations happen autonomously. Buyers no longer manage every exchange. Digital Workers negotiate directly with suppliers within predefined commercial parameters.
• Purchase requisitions are reviewed in minutes. Routine requests are validated, corrected, and approved inside platforms like Coupa and SAP Ariba, reducing cycle times from days to minutes.
• Price lists stay aligned with the market. Commodity, freight, and energy movements are continuously monitored, with contract pricing renegotiated before market gaps become embedded in spend.
• Supplier engagement scales from dozens to thousands. Payment terms, rebates, compliance requests, and other supplier campaigns run across entire supplier bases simultaneously instead of one supplier at a time.
• Buyers focus on higher-value work. Instead of clearing operational queues, procurement teams spend more time on strategic sourcing, supplier relationships, and complex commercial decisions.

Meet the enterprises already putting AI agents to work

Autonomous procurement is changing how enterprise procurement teams operate. By combining human expertise with AI agents that can execute routine work independently, organizations are scaling negotiations, supplier engagement, and operational processes in ways that weren't previously possible.

Here's how they're doing it.

Ahold Delhaize USA: turning AI recommendations into procurement execution

Many procurement organizations already use AI to generate insights. They receive recommendations about suppliers, pricing, or sourcing opportunities, but someone on the procurement team still has to take action, and the bottleneck remains exactly where it has always been: execution.

That was the challenge Ahold Delhaize USA set out to solve. The team deployed Pactum's AI agents to autonomously negotiate with suppliers, moving beyond recommendations and into real procurement execution, all within clearly defined governance and commercial guardrails. Instead of asking buyers to manage every routine negotiation, AI executes them on the team's behalf, giving procurement teams the capacity to engage more suppliers while buyers focus on the work that requires human expertise.

With Pactum AI agents, Ahold Delhaize USA is:

• Executing routine supplier negotiations autonomously within enterprise guardrails
• Delivering measurable business value and ROI in weeks, not months
• Expanding procurement capacity without expanding headcount
• Giving buyers more time to focus on strategic suppliers and higher-value initiatives
• Building the foundation for autonomous procurement

As Sean Sieper, Director within the Indirect Center of Excellence at Ahold Delhaize USA, explained: "We have begun piloting AI-supported negotiations with select suppliers. It is an important early step in how we're exploring agentic AI responsibly, and we are encouraged by the results so far."

For Sieper, the difference comes down to capacity. "The real opportunity is helping our team scale routine activity so our associates can stay focused on strategic supplier relationships and higher-value work," he said.

The real breakthrough is giving procurement the ability to create more value, across more suppliers, at a scale headcount alone could never reach. The shift from AI recommendation to AI execution is already operational, and it delivers measurable capacity gains without adding headcount.

Honeywell: running autonomous procurement at enterprise scale

Honeywell's procurement team faced a problem that exists inside almost every global enterprise: real value scattered across hundreds of supplier contracts, but not enough people to negotiate all of it. Buyers focused on the biggest suppliers by necessity, and thousands of smaller negotiations went untouched, even though together they represented serious money.

Honeywell deployed Pactum's AI agents to negotiate autonomously across payment terms, rebates, and discounts, engaging its entire supplier base at once instead of the slice a team could reach by hand. What started as a pilot became an enterprise-wide capability, because the agents could keep working suppliers around the clock at a scale no negotiating team could match.

Here's what Honeywell has achieved with AI:

• Autonomously negotiating payment terms, rebates, and discounts across its full supplier base
• Managing more than $500 million in spend through Pactum, with 2,500+ negotiations completed
• Improving payment terms by 10% and reaching 80% supplier engagement, with no added headcount
• Capturing savings, including $65,000 from a single negotiation, with zero buyer involvement
• Turning suppliers once considered too small to prioritize into an active source of value

Steven Velte, Executive Director of Procurement Transformation at Honeywell, believes organizations shouldn't wait for perfect data before embracing AI. "Data perfection is not the way to go," he says. "Start looking at the opportunities, innovate quickly, and let AI uncover and unblock the data inconsistencies along the way."

By putting AI to work across its supplier base, Honeywell is expanding procurement's reach, engaging more suppliers, capturing more opportunities, and creating value at a scale that wasn't previously possible.

Autonomous negotiation expands the universe of suppliers a team can actively engage, well beyond the biggest deals a team was already prioritizing, turning smaller suppliers once left off the list into a genuine source of value.

SUEZ: eliminating manual requisition checks

Purchase requisitions caused a different kind of bottleneck for SUEZ, one that had nothing to do with supplier negotiations. Every request required a manual review before it could move forward, and as volume grew, buyers spent more time checking compliance than driving strategic sourcing initiatives.

SUEZ embedded Pactum's AI agents directly into Coupa, where they automatically review every purchase requisition. Buyers only step in when exceptions require human judgment, reducing cycle times, maintaining compliance, and giving procurement teams more time to focus on strategic initiatives.

Today, SUEZ is:

• Reviewing every purchase requisition automatically within Coupa
• Validating supplier information, categories, quotes, and rate cards before buyers get involved
• Reducing procurement cycle times by 90%, from days to minutes
• Eliminating 80% of manual requisition reviews
• Freeing 10%+ of buyer time for strategic sourcing and higher-value procurement initiatives

As Robert Baillie, Head of Procurement at SUEZ UK, put it plainly: "Smarter, faster data-driven decision making, increased competition and transparency, and significant efficiency gains across tactical procurement. Exactly what modern procurement should look like."

With requisition reviews that once took days now completed in under 90 seconds, SUEZ has transformed procurement into a function that responds faster, stays compliant, and creates more strategic value. Autonomous procurement reaches well beyond supplier negotiations. Requisition intake is one of the highest-volume, lowest-value uses of buyer time in any large organization, and one of the clearest cases for automation.

How AI is redefining procurement

Ahold Delhaize USA, Honeywell, and SUEZ each hit a different wall, one stuck between insight and execution, one with too many suppliers to reach by hand, one buried in manual requisition checks.

All three found the same fix. AI negotiates and executes on procurement's behalf, reaching every supplier and finishing routine work in minutes or hours instead of days or weeks, so buyers spend their time on strategy, relationships, and the exceptions that actually need a person's judgment.

Pactum delivers this through Digital Workers, spanning three domains:

Indirect Procurement

Every requisition, sourcing event, and ad-hoc buy is a chance to negotiate, yet almost none of them get one. Pactum's Digital Workers intercept every requisition at intake, check it against policy, correct it on the spot, and negotiate the buy itself, so high-volume indirect spend finally gets the scrutiny once reserved for the largest purchase orders.

Direct Procurement

Supplier price claims demand hours of research before a buyer can respond with confidence. Pactum's Digital Workers do that research in minutes, validating every claim against live market indices, handing the buyer an evidence-backed counter-offer, and monitoring pricing across the full direct materials portfolio.

Supplier Management

Renegotiating terms and chasing compliance across an entire supplier base isn't something any team can do personally at scale. Pactum's Digital Workers do it anyway, engaging the whole supplier base at once to negotiate terms, collect information, and harmonize payment days.

Pactum plugs directly into Coupa and SAP Ariba, executing all of this within enterprise governance and commercial guardrails. Procurement sets the strategy, and Pactum's Digital Workers do the work, across every supplier, at a speed and scale no team could match alone.

Enterprise procurement leaders aren't waiting for the future of AI. They're putting it to work today.

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Frequently Asked Questions

Can AI really execute procurement work autonomously, beyond just generating recommendations?

Yes. Ahold Delhaize USA, Honeywell, and SUEZ are all live examples of AI agents taking action within defined guardrails, negotiating with suppliers, reviewing requisitions, and updating commercial terms without a buyer manually completing each step.

What is the biggest benefit enterprises are seeing from agentic AI in procurement?

Capacity. Every one of these teams already knew what needed to be done, and headcount was the only thing standing in the way of doing it at scale. AI agents let procurement engage more suppliers, review more requisitions, and capture more savings without adding people.

How do procurement teams typically handle this work today without AI agents?

Manually and selectively. Buyers focus on the biggest suppliers and the highest-risk requisitions by necessity, while smaller negotiations and routine reviews wait in a queue or get less scrutiny than they deserve.

Does AI replace procurement buyers and category managers?

No. AI executes the routine, well-defined work within enterprise guardrails, while people set the strategy, manage exceptions, and own the relationships that require judgment. At SUEZ, buyers only step in when a requisition needs human review. At Ahold Delhaize USA and Honeywell, buyers focus on strategic suppliers while agents handle the rest.

What kind of procurement work can these AI agents take on?

Supplier negotiations on payment terms, rebates, and pricing, purchase requisition validation, supplier claim investigation, and commodity price monitoring are all in active use today across Pactum customers, integrated directly into platforms like Coupa and SAP Ariba.

Is autonomous negotiation the only use case for AI in enterprise procurement?

No. As these three examples show, the same underlying AI capability applies to requisition intake, supplier claim validation, and negotiation execution. It runs across the full procurement lifecycle, from the first purchase request to the final signed agreement.

How fast can enterprises see results from deploying AI agents?

Weeks, not months, based on what Ahold Delhaize USA, Honeywell, and SUEZ have seen. Because the agents work within existing systems like Coupa and Ariba and existing commercial guardrails, teams don't need a lengthy transformation program before value starts showing up.