AI master data management
across every system you run
A wrong VAT number does not stay a wrong VAT number. It rides out on every invoice raised against that customer until somebody notices, three weeks later. One golden record per customer, supplier and article, kept in step everywhere it lives.
What does AI master data management do?
An AI agent keeps one golden record per customer, supplier and article, and every copy of it in step across your systems. Each change is validated where it happens, such as a VAT number against the register, and every field carries its lineage. Clear-cut fixes sync on their own; anything touching money, rights or a merge waits for its owner.
Data sync
One golden record per customer, supplier and article, and every system holding a copy of it kept in step. Where two copies disagree, your survivorship rules decide which value wins. Where the rules cannot settle it, a steward does.
Compliance checks
Validation runs on the change itself, not on a data quality report circulated a month later. A VAT number checked against the register, a credit limit against policy, a mandatory field that is genuinely mandatory. The record does not move until it passes.
Audit trail
Lineage on every field: which system the value came from, who changed it, when, and on whose authority. Written as it happens rather than reconstructed the week an auditor asks, and readable by a person rather than a database.
Every system tells the same story.
When one record is kept in step everywhere it lives, orders stop failing on an old address and payments stop bouncing on stale bank details. Every agent downstream works from data you can trust.
Learn moreAlready taking work off the data desk.
All customer stories↗
One record, disagreeing across two systems.
The same customer exists in SAP and in Salesforce, and the two records no longer agree. Somebody changed one of them and did not change the other.
You decide which fields need their owner
Every field has an owner and a rule. Clear-cut fixes sync to every system on their own, and anything that touches money, rights or a merge waits for the person who owns that field.
Our engineers set it up with you.
It takes on more of the data work as it learns.
Forward deployed engineers clean the first domain with your data owners, so the corrections come off the desk in the first weeks rather than at the end of a project. From there it automates gradually: every decision teaches it which system owns which field, and fewer records need a person to look.
They work inside your operation. They map every system that holds a copy with your data owners, set the confidence line together, and stay on as systems are added. Not a licence and a manual. A team that knows your records.
The system connections, the ownership rules, the validations and the log are yours to configure. Our documentation and support sit behind your team, and an engineer is a call away whenever you want one.
Talk to us about either ↗
Koninklijke Dekker
“Since we implemented this solution with Lleverage we particularly see an improvement in our data quality, not only in our inside sales department but also in our manufacturing and logistics department. We simply see that we make fewer mistakes and can work more accurately.”
sales, manufacturing, logistics
Questions about AI master data management.
Which value wins when two systems disagree?
Your survivorship rules decide. You write down once who owns which field, for example finance owns payment terms and sales owns contacts. Clear-cut differences are then fixed in every system on their own, and where the rules cannot settle it, the data steward who owns that field makes the call.
What is checked before a record changes?
Validation runs on the change itself, not in a data quality report a month later: a VAT number against the register, a credit limit against policy, duplicates, formats and fields that are genuinely mandatory. The record does not move on to the other systems until every one of those checks has passed.
Which fields never change without a person?
Bank details, credit limits and permissions always go to their owner, however confident the agent is, and so does anything that touches money, rights or a merge of two records. Every change is written to an audit trail: which system the value came from, who changed it, when and on whose authority.
Which systems does it keep in step?
Your ERP, such as SAP, Microsoft Dynamics 365 Business Central and Finance and Operations, Exact, AFAS or Infor, and the systems around it that hold a copy of the same record, such as a CRM like Salesforce. Nothing is migrated into a new database: every system keeps its own record, and those records are kept in step.
How long does it take to go live?
Forward deployed engineers clean the first domain with your data owners and map every system that holds a copy, so corrections come off the desk in the first weeks rather than at the end of a project. Every decision teaches it which system owns which field, and fewer records need a person.
The rest of the back office.
↗
Quote to orderQuote & SellQuotes drafted, orders entered and confirmed the moment they land.
↗
Purchase to paySource & ProcureInvoices, POs and confirmations, posted where they belong.
↗
Forecast to producePlan & ProduceThe plan reshuffled when reality changes.
↗
Order to deliveryDeliver & SupportCustomers answered with full context, in their own channel.
↗
AP & ARPay & CollectInvoices matched, real variances flagged, the rest untouched.