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AI in Procurement

AI can change what procurement
delivers to the bottom line.

We help mid-market procurement teams find where AI will bring the most savings and cost avoidance, choose the tools worth implementing, and put them to work. Senior-led and vendor-neutral, with no software of our own to sell.

4 wks
AI Savings Assessment
~32%
Portfolio consolidation at a Fortune 100 insurer
1,900+
Suppliers under one AI governance framework
NDA
Before disclosure
Why AI matters now

Procurement is being asked for more, with the same size team.

Cost targets are rising and most mid-market procurement teams are small. The same handful of constraints comes up in nearly every conversation we have. In our experience AI can help with each of them, once the process and ownership around the tool are clear.

Visibility
Spend data in too many places
Spend sits across the ERP, cards and spreadsheets, so a clear view by category and supplier can take weeks to assemble.
Contracts
Terms tracked by hand
Renewal dates, price escalators and termination rights often live in shared drives, which is where auto-renewals tend to slip through.
Capacity
Lean teams, large supplier bases
A few people supporting thousands of suppliers, with most of the week going to transactional work rather than negotiation.
Timing
Brought in after the decision
Business units frequently commit to a supplier before procurement is involved, when most of the leverage is already gone.
Retention
Savings that fade
Negotiated savings can erode over the following year through off-contract buying and prices that drift from agreed rates.
Choice
Every platform now says AI
It is hard to tell which tools will return their cost for a company this size, and which will add another system to maintain.
How we help

Four ways Hive supports procurement.

Teams come to us at different points. Some are still working out where AI would pay for itself. Others have chosen tools and need them adopted, or want help delivering the savings.

01 · Strategy and tool selection
Where AI will return the most, and which tools to use
Usually starts with the AI Savings Assessment: savings and cost avoidance sized from your own data, a vendor-neutral tool shortlist and a business case. It can also include a review of AI already in use across your software and suppliers, checked against what your contracts and data terms allow.
02 · Procurement transformation
Putting the tools into how the team works
Request intake, contract management, invoice handling and approvals redesigned around the chosen tools, with an operating model sized for a lean team and the training that makes adoption stick. See Implementation Advisory and Change & Capability Building.
03 · AI-enabled savings delivery
Turning the opportunities into results
Renegotiation ahead of renewals, sourcing waves for tail spend and supplier consolidation, run with AI-assisted contract and spend analysis, and tracked against the baseline so leadership can see the value.
04 · Fit-for-purpose AI builds
Focused tools where a platform is more than you need
Contract analysis, intake assistants and similar tools built on software you already license, designed with your IT team to fit your data and systems.
Where most engagements start

The AI Savings Assessment. Four weeks.

A senior-led sequence with scope agreed up front. The advisor who scopes the work is the advisor who delivers it.

01BaselineSpend by category and supplier, contract coverage, request intake, invoice handling and team capacity.
02Value poolsSavings and cost avoidance opportunities matched to AI use cases and sized from your own data.
03Fit and shortlistWhat you already license first, then two or three fit-for-purpose tools per priority, shown on your data.
04Business caseValue against total cost, the order to implement, and a readback with leadership.
Fixed fee or outcome-based pricing, four-week timeline, senior advisors throughout
What you receive

What procurement leadership walks away with.

Spend and contract baseline
Where spend sits by category and supplier, how much of it is under contract, and where renewals, escalators and overlaps are coming due.
Sized value pools
Savings, cost avoidance and capacity opportunities, each matched to an AI use case and sized from your own data.
Tool shortlist
Two or three fit-for-purpose options for each priority, starting with what you already license, with total cost of ownership.
Business case and sequence
Expected value against cost, payback, and the order in which to implement, ready for a leadership decision.
Where this comes from

Built from leading a sourcing organization through the same shift.

Hive's procurement work draws on leading the strategy behind the sourcing organization at a Fortune 100 insurance company, including developing and implementing its AI strategy and governance framework. That program put a front-end solution in place that sped up the sourcing request process, along with a contract management and RFx platform that provided insights across the portfolio. The team landed on two full solutions after months of evaluation, and the portfolio was consolidated by nearly 32%.

Read the case study →
What success looks like

What changes when it works.

Value
Savings leadership can see
Savings and cost avoidance tracked against a baseline agreed at the start, reported in terms the CFO already uses.
Capacity
Time back for the team
Contract tracking, intake and invoice checks move from manual effort to managing by exception, freeing time for negotiation.
Focus
Fewer tools that earn their cost
A small number of tools chosen for the largest opportunities, rather than a stack of overlapping platforms.
Common questions

Common questions about AI in procurement

Where does AI deliver the most savings in procurement?

The largest savings from AI in procurement usually come from contract intelligence (catching auto-renewals, price escalators and overlapping suppliers), intake and orchestration that keeps spend on contract, spend classification that shows where categories can be consolidated, AI-assisted sourcing for tail spend, and invoice automation that checks prices against contract. Which of these matters most depends on the spend profile. For many mid-market companies that still manage contracts by hand, contract intelligence and intake tend to come first.

How should a mid-market company choose AI tools for procurement?

What tends to work is sizing the savings and cost avoidance opportunities from the company's own spend and contract data first, and then matching tools to the largest of them. We look at what the company already licenses before anything new is bought, shortlist two or three fit-for-purpose tools for each priority, see them demonstrated on the company's own data, and compare total cost of ownership. Hive is vendor-neutral and does not resell software or accept platform referral fees.

Does a company need a procure-to-pay system before using AI in procurement?

Not necessarily. Many mid-market procurement teams get early value from AI before a full procure-to-pay system is in place, most often through contract analysis and a structured intake process. A procure-to-pay system may still be the right investment later. The AI Savings Assessment weighs both paths against the savings each one is likely to return.

How are savings and cost avoidance from AI in procurement measured?

Measurement starts with a baseline agreed at the beginning of the work. Savings are price and volume reductions against that baseline. Cost avoidance covers increases that were prevented, such as auto-renewals caught before they rolled, escalators renegotiated and duplicate suppliers retired. Capacity returned to the team is tracked as hours moved from manual work to managing by exception. We suggest reporting all three to leadership on a regular cadence so the savings stay visible.

What about AI that suppliers and software vendors are already using?

AI is also reaching procurement through feature updates in software the company already licenses and through suppliers using AI on their side of the relationship. As part of our strategy work we can map where that is happening and check it against supplier agreements and data terms, including whether client data can be used to train models. Hive is not a law firm, so this work is done alongside the company's legal team.

How long does the AI Savings Assessment take, and what does it deliver?

The AI Savings Assessment runs four weeks, priced as a fixed fee or on outcomes, with scope agreed at the start. It delivers a spend and contract baseline, savings and cost avoidance opportunities sized from the company's own data, a shortlist of tools with total cost of ownership, and a business case with the order to implement. The first step is a 30-minute briefing with a senior advisor, with an NDA in place before anything confidential is shared.

Start with a conversation

30 minutes. No pitch.
Real answers.

A senior Hive advisor will walk you through where AI could bring savings and cost avoidance in your procurement operation.

30 minutes · No pitch · Senior advisor · NDA before disclosure