ERP isn’t broken — It’s Just Painfully Manual without AI-native ERP automation.

INDEX:

1. The Hidden Cost of “Working Manually”

2. What “AI-Native ERP Automation” Really Means

3. BLP as an Example of “What Good Looks Like”

4. What Changes for Procurement, Finance, Logistics & Sales

5. Where Burgundy Enters the Equation

6. A Practical Next Step

Why AI-Native ERP Automation Matters (and What “Good” Looks Like)

Enterprise systems were supposed to simplify work. Yet in 2025, many organisations still run mission-critical processes on a strange mix of emails, PDFs, spreadsheets, and heroic manual effort. Your ERP works — but everything around it is slow, fragmented, and dependent on people catching errors at 19:00 before the monthly close.

This is not an IT problem. It’s an operational drag that affects Procurement, Finance, Logistics, and Sales every single day.

At Burgundy, we see the same paradox across industries: world-class ERPs paired with workflows that still look like 2008. This is exactly where AI-native ERP automation starts to change the game.

1. The Hidden Cost of “Working Manually”

Most companies underestimate how much time is consumed by repetitive document handling:

• order confirmations that need checking line by line;

• delivery notes to be matched with goods receipts;

• invoices that bounce into “blocked” status;

• customer orders typed in manually, although they arrive structured.

Every document is small. The volume is not. In industrial and retail supply chains, human teams are forced to navigate:

• changing supplier formats;

• inconsistent tax and pricing rules;

• partial deliveries;

• handwritten notes;

• corrections and schedule updates.

Legacy OCR and RPA try to help, but only up to a point. They recognise text; they don’t understand context. When the real world deviates (and it always does), the automation collapses and the manual work returns.

2. What “AI-Native ERP Automation” Really Means

A new generation of platforms takes a fundamentally different approach. Instead of reading a document and hoping for the best, they recreate the ERP logic outside of the ERP. Think of it as a digital twin of your ERP’s business rules:

• supplier master data;

• PO structures;

• pricing conditions;

• tax logic;

• tolerances;

• posting rules.

AI models don’t just extract information — they match, validate, compare, and apply the same checks your teams do manually.

The result is simple: documents become transactions. Emails become structured orders. PDFs become clean postings. Exceptions become visible instead of hidden.

This is the breakthrough.

3. BLP as an Example of “What Good Looks Like”

We stay tech-agnostic at Burgundy. But some platforms clearly set the bar — and BLP is one of those. Not because of marketing claims, but because it was designed from day one to handle the messy reality of industrial processes:

• built in Switzerland, combining ERP engineering with state-of-the-art AI;

• connects to 30+ ERPs without requiring the customer to rebuild infrastructure;

• automates high-complexity flows: order confirmations, invoices, delivery notes, customer orders;

• goes live fast and scales with document volume, not headcount;

• strengthens compliance and auditability by keeping all changes traceable.

It is a concrete example of how AI-native automation should work: context-driven, secure, reliable, and aligned with how businesses actually operate.

4. What Changes for Procurement, Finance, Logistics & Sales

When document work disappears, the impact is immediate:

Procurement gains visibility — Price deviations, delivery delays, and quantity changes become visible before they cause real damage. Teams finally spend time negotiating, not typing;

Finance becomes faster and cleaner — Touchless invoice processing reduces blocked items, accelerates month-end close, and strengthens VAT consistency. Auditors love the transparency;

Logistics runs with fewer surprises — Goods receipts and delivery notes match automatically. Warehouse teams stop firefighting and start optimising;

Sales speeds up the order-to-cash engine — Customer orders move from inbox to ERP in minutes, not hours. Errors drop; service levels rise;

These improvements don’t require an ERP migration, just smarter orchestration around what you already have.

5. Where Burgundy Enters the Equation

Tools don’t create value alone. Transformation does. Our role is to make AI-native automation succeed in your real environment:

• mapping the automation potential across P2P and O2C;

• redesigning processes to reduce noise and exception handling;

• ensuring data readiness and the right governance model;

• piloting with one document flow and scaling intentionally:

• coordinating Finance, Procurement, Logistics, IT, and the vendor;

• measuring impact continuously (touchless rates, cycle times, error reduction).

We help clients avoid rushed implementations, avoid “technology tourism”, and focus on impact rather than features. The goal is not a shiny tool. The goal is to achieve operational performance with reduced manual burden.

6. A Practical Next Step

If your teams still process documents manually, if invoice backlogs appear every month, or if Procurement struggles with unchecked supplier deviations, you’re not alone — and you’re not stuck.

AI-native ERP automation is no longer experimental. It is a lever that brings measurable, short-cycle results when executed properly.

At Burgundy, we help organisations evaluate whether a solution like BLP is the right fit, design the transformation around it, and deliver results that last — not just proofs of concept.

If you’d like to map your automation potential and understand what a first pilot would look like, we’re here to help. Book a strategy session.