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Regulated data,
validated before it moves.

For medical and life-sciences distributors and manufacturers, a new supplier, product or invoice has to clear the rules before it touches the ERP. We validate every record through staged gates, route only the genuine exceptions to a person and write the clean ones straight through.

Validated draftApproved for writebackCreated in ERP
CompletenessRequired fields and documents present
GlossaryCodes match the approved lists
DuplicateChecked against existing records
QA/RAOnly regulated items routed for reviewOnly ~20% routed here
FinanceCredit, tax and posting exceptions only
WritebackCreated in your ERP, code returned
A person approves before anything is created. The agent never approves risk by itself.
You own everything we build
We never train models on your data
A human approves before anything posts or sends
Aligned to your local privacy regulations
The problem

The form is not the problem. The decision system is.

Vendor, item and customer setup drags across weeks and delays revenue, because the same data is re-entered and everything routes to a person, not just the exceptions.

Work starts too late

Admin begins when the PO arrives, not when the agreement is signed, baking a revenue delay into the process.

The same data, re-entered

Vendor, item and customer details keyed again into separate forms and systems instead of captured once.

Approval overload

Dozens of creation forms routed to senior staff for completeness checks rather than real decisions.

QA/RA bottleneck

Every item routed for regulatory review even though under a fifth genuinely need it.

Invoice matching by hand

Three-way matching across PO, goods receipt and invoice done manually, line by line.

Master data drift

Duplicates and inconsistent records spread across systems, with no single source of truth.

What we automate

The workflows behind clean, fast master data.

Each one removes manual work while keeping a person on every risk decision.

AP invoice automation

Supplier invoices matched three-way against PO and goods receipt before anything posts.

85%fewer manual touchpoints
Powered by Invoice Agent
Vertical-specific

Vendor and item master-data onboarding

New suppliers and products validated against the rules and created once, not re-keyed everywhere.

2 hrsfor a clean case, down from 2-3 weeks
Specialised build
Vertical-specific

QA/RA triage for regulated products

Only the items that genuinely need regulatory review reach QA/RA, the rest clear automatically.

70-80%less QA/RA workload
Specialised build

Supplier document processing

Contracts and product documents read and turned into structured records on arrival.

0re-keying between systems
Powered by Intake Agent
Agents at work here

The building blocks behind these workflows.

Invoice and document extraction are cross-industry agents. Master-data onboarding and QA/RA triage are specialised builds for regulated operations.

In practice

Clean records, created in hours not weeks.

For a medical distribution and manufacturing operation, gated validation cuts the regulatory load and the time to a usable record. Figures are illustrative of a typical engagement.

0

hours for a clean case, down from 2-3 weeks

0%

fewer manual invoice touchpoints

0

records keyed twice across systems

Works with your stack

Writes into the ERP you already run.

The automation connects to your ERP through its API or service layer. A person approves before anything is created.

SAP S/4HANASAP Business OneNetSuiteMicrosoft Dynamics 365OracleQuickBooksXero

Don't see your system here? Ask us anyway, chances are we already support it.

Life Sciences FAQ

Questions operators ask.

No. The automation connects to your ERP through its API or service layer, whether that is SAP, NetSuite, Dynamics or another system. It reads and writes records; it does not replace anything.

Rules and classification route only the items that genuinely need regulatory review to QA/RA, with a reason recorded for the rest. A person always approves the regulatory decision. The agent never approves risk by itself.

No. Every record moves through three explicit states: validated draft, approved for writeback, then created in the ERP. A person approves before anything is written. Nothing posts on its own.

Every request passes validation gates before creation: completeness, glossary match, duplicate check, then finance and regulatory exceptions. Only failed gates route to a person; passed gates become the audit trail.

You own everything we build, we never train models on your data and the build is aligned to your local privacy and regulatory requirements. Every step is logged for audit.

Ready when you are

Turn weeks of master-data admin into a gated, hours-long flow.

Book a scoping call