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Procure-to-Pay automation: How AI Agents run the P2P workflow

Context

For manufacturers, production runs only as well as purchase orders are maintained. When supplier confirmations lag, delivery changes slip through, or open POs aren’t tracked, operations slow down. Small misses compound into downtime, material gaps, higher costs, and customers ultimately feel the impact. These gaps make it difficult to maintain a stable procure-to-pay (P2P) flow, especially when every update affects planning, finance, and customer delivery.

Challenge

Manufacturers depend on clean supplier data to keep production steady. But supplier updates change constantly – dates shift, quantities adjust, partial shipments appear, and most of these changes still arrive in emails, PDFs, spreadsheets, and scanned documents. When teams handle them manually, real-time tracking gets really hard, and gaps appear across the entire procure-to-pay cycle.

For procurement teams, these gaps create a familiar pressure: cover more spend, manage more suppliers, and fix more exceptions, usually with the same resources. Manual processes make that nearly impossible:

  • Strategic procurement lacks a reliable view of supplier performance and contract compliance because of scattered data.
  • Tactical procurement wastes time chasing confirmations and managing unconfirmed POs.
  • Planning teams cannot adjust schedules quickly when materials don’t arrive as promised, increasing the risk of missed production runs.
  • Accounts payable struggles to match PO lines and delivery records, slowing financial reconciliation.
  • Customer service teams deal with customer dissatisfaction and impacted revenue when promised dates slip.

As these span procurement, planning, warehouse, finance, and customer-facing roles, any delay or mismatch creates bottlenecks across the entire P2P flow.


Managing order confirmations & unconfirmed POs

Suppliers respond in inconsistent formats, making it hard to know what is confirmed and what is still pending. Unconfirmed POs stall planning and force buyers to chase updates manually. Without a consistent confirmation workflow, mismatches between supplier commitments and internal expectations translate into missed delivery dates.

Handling open orders & delivery changes

POs due for delivery require tight monitoring, but delivery changes (dates, quantities, partial shipments) often get stuck in email threads. Manual processing is a tedious job, so missing a shift happens more often than not. Delayed or unrecorded updates create blind spots in inventory visibility and customer promises.


Delivery documentation & incoming goods validation

Buyers must prepare system entries and documents in advance, so the warehouse can book materials the moment they arrive. When packing lists, delivery notes, or certificates of analysis arrive in scattered formats, teams spend hours validating them against PO records. Any mismatch stalls warehouse booking, triggering escalations between buyers, suppliers, warehouse and QA teams. All this slows down production and increases the risk of shipping incorrect or non-compliant goods.


Invoice payment & reconciliation bottlenecks

Invoices arrive at unpredictable times, and accounts payable must validate each one against PO terms, delivery notes, and ERP booking records. Any discrepancy forces accounts payable to loop in buyers, who must spend time aligning paperwork and correcting entries. This slows payment cycles, impacts supplier relationships, and for many manufacturers it affects credit scores.


Limited contract compliance monitoring

Monitoring whether suppliers respect contract terms or confirmation commitments is mostly done ad-hoc. Teams often get to review only a slice of compliance because they don’t have the time or consolidated data to assess performance end-to-end.

Solutions

To automate PO maintenance, supplier coordination, and financial reconciliation across the procure-to-pay (P2P) flow, AI Agents take over the repetitive, exception-heavy steps of the PO cycle, from confirmation to delivery changes to compliance checks.


Automated PO maintenance

AI Agents process PO numbers, SKUs, quantities, dates, and prices from any supplier format (PDFs, Excels, free texts, scanned documents). They map supplier SKUs to internal material IDs, validate the data, and update the ERP. The Agents also track unconfirmed orders, send automated follow-ups, and trigger clarification requests when data is ambiguous and commitments remain unclear, reducing the need for manual back-and-forth.

Where humans come in: Only when supplier responses stay unclear or when strategic judgment is needed. Easily resolved through simple confirmation screens.


Streamlined delivery change management

AI Agents monitor supplier emails and documents for any date, quantity of shipment changes. When updates come in, Agents adjust open orders in the ERP automatically, ensuring planning and customer-facing teams work with accurate delivery data. Major discrepancies like delays, incorrect quantities, or split shipments get escalated to managers for resolution, and routine changes flow dynamically into the ERP.

Where humans come in: Only in high-impact decisions.The feedback loop happens directly inside the inbox due to the Outlook integration, making clarification fast and keeping the entire flow in one place. Updates are also searchable via conversational queries (available in chat feature “Ask Agents”), reducing the internal email chains and speeding cross-team communication.


Continuous contract compliance monitoring

AI Agents run real-time audits on supplier performance, analyzing - delivery timeliness, quality and confirmation accuracy, as well as pricing adherence. They flag deviations immediately and generate up-to-date performance insights for procurement. 


Where humans come in: Procurement teams step in only to act on contract deviations or renegotiate terms.


Scalable supplier management

With Nordoon’s agentic framework in place, manufacturers can scale supplier coverage without adding headcount, from a few dozens suppliers to hundreds. AI Agents verify contract compliance throughout the PO cycle, handle routine coordination, and keep financial records aligned. As automation takes over the repetitive steps, on-time, in-full delivery performance improves and customer satisfaction follows.

Where humans come in: Procurement teams could focus on strategic supplier management instead of manual data processing and fixing.

Results

This is what procure-to-pay automation looks like when procurement is finally able to do more with less, without compromising control.

90%+ reduction in manual PO maintenance time 

AI Agents take over confirmations, delivery updates, document checks, and ERP entries. They eliminate the bulk of repetitive tracking and data validation. Teams shift from administrative follow-ups to actual exception handling and strategic work.

Scalable supplier coverage from tens to hundreds

With automated confirmations, delivery change processing, and compliance monitoring, companies can manage 500+ suppliers with the same headcount. Supplier coordination becomes consistent, even as volumes grow.

Real-time ERP updates across the PO lifecycle

Every confirmation, change, and document update reaches the ERP immediately. Planning, procurement, warehouse, finance, and customer-facing teams all work from the same up-to-date data, reducing operational friction and downstream errors.


20–30%fewer internal emails and cross-team escalations

The Ask Agents feature makes PO updates, commitments, and delivery changes searchable in seconds. Teams no longer need long email chains or calls to understand what has changed, which improves response times for planning, customer service, and production.

Procurement impact increased without added headcount

Teams manage more suppliers, more exceptions, and more compliance with fewer manual steps, delivering higher value without increasing cost.

Higher on-time, in-full performance

With cleaner confirmations, real-time delivery updates and faster exception-handling, companies see a measurable lift in OTIP – improving production stability and customer delivery reliability.


Fewer invoice and delivery mismatches

Automated reconciliation across POs, delivery notes, and ERP bookings reduce errors that often slow down payments, escalated to buyers, or created compliance risk.


Improved supplier compliance visibility

Continuous monitoring surface deviations early, giving procurement better negotiating power and ensuring suppliers meet contractual terms more consistently.

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