AI agents are beginning to change how businesses buy. They can research suppliers, compare quotes and prepare orders. With the right integrations and permissions, they can also complete purchases.
For CFOs, this raises a practical question: What data, rules and spending limits should an AI agent have before it buys on the company’s behalf?
Get the foundations right and the benefits could extend beyond lower costs to a procurement operation that improves as your organisation captures and applies what it learns. Get them wrong and mistakes can happen faster, across more transactions.
What is an AI buying agent?
An AI buying agent is software that carries out purchasing tasks within a defined goal, budget and set of permissions.
Depending on the system and its integrations, it can:
- Research and shortlist suppliers.
- Compare prices, specifications and delivery times.
- Prepare orders or reorder approved stock.
- Flag contract terms that may conflict with company policy.
- Initiate payments within authorised limits.
The level of autonomy matters. An agent that recommends a supplier has a different risk profile from one authorised to sign a contract or release payment.
Treat it like a new buyer joining your team: give it clear instructions, access to the right information and defined boundaries.
Why CFOs should pay attention now
Research suggests that AI is already entering the purchasing process. Deloitte’s 2026 B2B commerce research, based on surveys of more than 1,000 US suppliers and buyers, found that nearly 40% of buyers were using agentic AI in purchasing. Activities included evaluating products, configuring orders, reviewing contracts and benchmarking prices. This does not mean those buyers had handed over full purchasing authority.
Looking ahead, Gartner predicts that AI agents will handle 90% of B2B purchases by 2028, channelling more than $15 trillion in spending, according to reporting by Digital Commerce 360. That is a forecast, rather than a measure of current adoption, but it signals the scale of change being anticipated.
For finance leaders, the implications reach across budgets, supplier risk, approval processes and accountability. Procurement, finance, IT and legal teams need to agree where an agent can act independently and where a person must decide.
Where the competitive advantage comes from
Faster purchase orders, quicker quote comparisons and less administration can deliver useful savings. However, competitors can adopt similar tools. A more durable advantage comes from how effectively a business combines those tools with its own knowledge.
Better purchasing data
Historical prices, supplier performance, quality issues and delivery records provide context that a generic agent does not have.
The lowest quote may look attractive until the agent can see that the supplier regularly delivers late or generates costly returns.
Clear buying rules
An agent needs explicit priorities. Should it favour price, delivery speed, quality, sustainability or continuity of supply? What trade-offs are acceptable?
Policies become useful when they are translated into rules the system can apply and controls the business can enforce.
Strong supplier relationships
Automating routine purchasing can give procurement teams more time for negotiations, supplier development and strategic partnerships.
The value comes from combining automation with the experience and judgement of the people who understand the business.
Lessons from real AI projects
Since 2018, AI Ireland has reviewed more than 1,300 AI projects across hundreds of organisations through the AI Awards.
A recurring lesson is the importance of starting with a clearly defined problem, reliable data and a practical way to measure results.
The same approach applies to buying agents. Before choosing a tool, understand the purchasing process, identify where delays or errors occur, and decide which decisions can safely be automated.
An initial pilot should answer a specific question: can an agent improve this process while operating within our controls?
“An AI agent is like a new buyer on your finance team. It never sleeps and never gets bored. But it only buys as well as the rules and data you give it. The advantage goes to the leaders who set those rules first, not the ones who buy the newest tool.” – Mark Kelly, Founder of AI Ireland
Five controls to set before an agent spends a euro
1. Start with one manageable category
Choose routine purchases with clear specifications, approved suppliers and limited business risk. Office supplies or standard consumables may be suitable starting points.
Define the scope carefully. A small purchase can still carry significant data, contractual or operational risk.
2. Enforce spending and access limits
Set limits per transaction, supplier and month. Restrict the agent to the systems, suppliers and payment methods it needs.
These limits should be enforced through purchasing and payment systems, rather than relying solely on instructions in a prompt.
3. Define when human approval is required
Set approval requirements for new suppliers, higher-value orders, contract changes and exceptions to policy.
Name the person responsible for reviewing exceptions, and make sure the agent pauses when approval is needed.
4. Check supplier and pricing data
Duplicate supplier records, outdated prices and incomplete specifications can lead to poor decisions.
Give the agent access to trusted information and require it to flag missing or conflicting data before proceeding.
5. Measure results against a baseline
Track purchasing costs, processing time, errors, policy exceptions and supplier performance.
Include the cost of implementation, oversight and correcting mistakes. A faster process only creates value if the overall outcome improves.
Make governance part of the process
Governance should be built into the pilot from the outset. Keep records of what the agent recommended or purchased, the information it used, and any approvals received. Assign an accountable owner and provide a straightforward way to suspend its access.
The people supervising the system also need to understand its capabilities and limitations. The European Commission’s guidance explains that Article 4 of the EU AI Act requires providers and deployers to take measures to ensure sufficient AI literacy among staff and others operating AI systems on their behalf.
For a finance team, that means knowing how to review recommendations, recognise unreliable outputs and intervene when something falls outside policy.
The next step for finance leaders
AI buying agents could reduce routine work and improve purchasing decisions. The results will depend on the quality of the process around them: reliable data, enforceable limits, clear accountability and regular review. Start with one category, establish a baseline and expand only when the evidence supports it.
The CFO’s role is to make sure that greater purchasing autonomy delivers measurable value while keeping spending under control.
Frequently asked questions
Q: What is an AI buying agent?
A: An AI buying agent carries out purchasing tasks within defined permissions. It may research suppliers, compare quotes, prepare orders or complete authorised purchases, depending on its capabilities and integrations.
Q: Is it safe to let an AI agent spend company money?
A: Safety depends on the use case and controls. Restrict access, enforce spending limits, require approval for exceptions and monitor transactions. Begin with a limited pilot before granting greater autonomy.
Q: Where should a business start?
A: Choose one routine purchasing category with clear specifications and reliable data. Measure current costs, processing times and errors, then compare the pilot’s results against that baseline.
Q: Will AI buying agents replace procurement teams?
A: They can automate parts of procurement, particularly repetitive research and administration. People remain important for supplier strategy, complex negotiations, exception handling and accountability. The effect on roles will depend on how each organisation adopts the technology.
Q: How can a business gain an advantage if competitors use similar tools?
A: Through better data, clearer policies and stronger integration with its purchasing processes. The advantage comes from how well the organisation applies the technology and improves its decisions over time.
Explore AI buying agents with AI Ireland
AI Ireland helps leadership teams understand where AI can deliver practical value and what responsible adoption requires. Book an executive briefing to explore the opportunities, risks and governance questions relevant to your organisation.
For teams ready to test a specific use case, our Executive Prototyping Lab offers a way to explore a real business problem with clear objectives and controls from the outset. Contact AI Ireland to discuss your organisation’s needs.
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