The AI Data Steward

Your master data, watched every night. Fixed every morning.

BeyondCore finds the duplicates, invalid records and missing fields hiding in your ERP master data — and suggests the fix. You click Approve. Nothing changes without you.

You own your data. You own your knowledge.
We provide the intelligence.

morning-brief · master data · 2026-07-18

0Quality

Good morning.

I reviewed your master data — 4,812 records across suppliers, customers and materials. Here’s what I found, and what I suggest.

Suppliers that look like the same company — same VAT & org number12

Materials missing weight or unit — mandatory attributes empty41

Customers with an invalid VAT number — fail format check8

Materials with inconsistent naming — break your convention27

Nothing has been changed

The problem

The mess you already know is in there

Across suppliers, customers, materials and products, every ERP accumulates master data that quietly taxes the business — until someone finally counts it.

×Duplicate suppliers, customers & materialsThe same thing, recorded three times.

×Inactive & obsolete recordsVendors and materials no one has cleaned up.

×Missing mandatory fieldsNo weight, no unit, no tax id.

×Invalid VAT & addressesWrong format, unverifiable, blocking.

×Inconsistent naming & classificationsFive spellings; wrong material types.

×Junk & test records“TEST”, “ASDF”, “DO NOT USE”.

The bill shows up everywhere: slower reporting, longer searches, more manual errors, worse purchasing and inventory, higher ERP maintenance — and AI projects that underperform because they run on dirty data. You can’t fix what you can’t see.

How it works

Grammarly for master data

It doesn’t replace your ERP or run a risky migration. It works alongside your data, in a loop that gets smarter every time you use it.

DETECT

Finds it

Errors and patterns — not just broken rules, but “these two suppliers are the same company.”

EXPLAIN

Explains it

In plain language: “this will cause an invoicing error,” “this breaks your naming standard.”

SUGGEST

Suggests the fix

The right name, code, category or attribute — with the evidence behind it.

APPROVE

You decide

Nothing changes automatically. The AI does the work; a human clicks Approve.

LEARN

It learns

Every approval teaches BeyondCore your company’s conventions.

Data quality scorerising over time

It becomes your AI Data Steward

If your team always names a material ABC-12345, BeyondCore learns it — and next time it suggests the right name before anyone has to.

Every company gets its own “company brain.” The longer it runs, the smarter it gets — and the score keeps climbing.

Why enterprises trust it

Built for the security review, not around it

Zero Data Retention

Your records are processed and discarded. Nothing is kept by default.

Knowledge you own

Only your learned structure is retained — the conventions, not the records. And it’s yours.

Recommend-only

AI augments your team’s judgement. It never overrides it — a human always approves.

Provider & ERP agnostic

No lock-in to one AI vendor. Works toward SAP, Oracle, Dynamics, IFS and more.

Deploy your way

SaaS, your own cloud, or fully on-premise. Control shifts to you as your requirements rise.

Precise by design

It won’t merge on a weak signal. Two suppliers sharing an address, or an M8×40 bolt next to an M8×50 — different things stay different. Look-alikes are flagged for review, never merged.

The pilot

See it on your own data in two weeks

Book a pilot

1Send one file

Export a single master-data table — e.g. your supplier, customer or material master — to Excel or CSV, under NDA/DPA. No integration, no IT project.

2Get an assessment

We return a quality scorecard plus a ranked list of duplicates, invalid records and missing fields — each one explained.

3See the number

In your own data, exactly what the mess is costing you — and how much of it BeyondCore can fix.

Low commitment. High clarity. The number is the product. Start with an assessment