Every purchase checked before the money moves.

Approvals in Coupa or SAP Ariba tell you who signed. Pactum reviews what they signed off: whether the request follows policy, sits on a contract, uses an approved supplier, is coded right and should have gone to negotiation or competition. AI agents do that on every request the moment it is raised, and your P2P stays the system of record throughout.

Letting AI act on purchases is a control risk only if nobody can test it. Pactum's AI agents run in observer mode first and are tested against decisions your own reviewers already made, with the agreement rate visible before they act alone. Every decision after that is logged with the rule and the reason, so your auditor has something to test rather than something to take on trust.

You do not need to replace your P2P. Pactum works with Coupa and SAP Ariba and they stay the system of record, so your reporting stays where it is. People ask for what they need in Teams, AI agents do the reviewing, fixing and negotiating, and the result is written back to the record.

Requests that need judgment go to the right person on your team. They arrive with the reason attached and everything else already reviewed, so the time your people spend goes on the decision, not the paperwork. Routine review is done by AI agents.

You prove a purchase request was checked against policy by running the review when the request is raised and recording the result on the request in the same moment. Pactum's AI agents do that on every request, with no value threshold and no sampling. When an auditor picks any request, the record shows the rule it was reviewed against, the result and the fix if there was one.

Automated requisition negotiation saves on spend that nobody had negotiated before. Across Pactum customers, 70% of never-negotiated requests hold a saving, worth up to 8%. On the buys Pactum negotiates, the average saving is 11% on tactical buys that closed with a saving and 4.7% on the single-source deals it wins. Every saving is recorded against the request and the first quoted price, so the number you report is one your auditor can trace.

You build the business case for a Pactum pilot on your own requisitions, not on vendor averages. Start on one category, one region or one business unit. In observer mode, AI agents check every requisition and change nothing, so you see how often they agree with your own reviewers and what they would have caught. Every saving is recorded against the first quoted price, so finance can trace each one.

You get started with Pactum on one category, one region or one business unit, in three steps: observer mode, advising and acting. In observer mode, AI agents check every requisition in Coupa or SAP Ariba and change nothing, so you see where requests break policy. When advising, they tell the requester what is wrong and how to fix it. When acting, they approve, fix or escalate requests once your team agrees with their verdicts.

Pactum hosts your data on Google Cloud in the US or the EU, encrypted at rest and in transit. Pactum does not train any model on customer data, and suppliers never see other suppliers' bids or your target. Pactum is SOC 2 Type 2 compliant and ISO/IEC 27001:2022 certified. See the Pactum Trust Center.

Pactum works on indirect spend: the goods and services a company buys to run itself, such as IT, facilities, MRO and professional services. AI agents run each request end to end, from intake and the policy check to sourcing, negotiation and the purchase order, inside Coupa or SAP Ariba where each agent is live. That includes the requests outside your catalog and contracts, where no price was agreed in advance.