AI & ERP

AI in Your ERP: From Pilot to Production

The blocker is almost never the model. It is the move to production, on real data and an existing IT system.

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The real blocker

Why pilots stall

Data quality

Empty fields, duplicates, inconsistent reference data.

Undocumented processes

The knowledge lives in people's heads.

IT integration

A useful agent is connected to the ERP and the CRM.

Adoption

Without team support, the tool goes unused.

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Microsoft environment

The stack, building block by block

Microsoft 365 Copilot: across your docs and emails, via Graph.
Copilot Studio: build agents on your data, no code.
Dynamics 365 Copilot: business copilots built into the ERP and CRM.
Dataverse: the data layer that connects it all.
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Use cases

What makes it to production

Natural-language copilot

Query stock, orders, and margin without the screens.

Document reading

Invoices, delivery notes, contracts, automated entry.

Forecasting

Demand, stock, and cash flow from historical data.

Reporting

Generated automatically, with configuration help.

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The right way to work

Embedded, not a report

What I recommend, I run first on myself: AI is built into my own e-commerce ERP.

Forward Deployed Engineer model: a well-scoped use case, your data, production in days or weeks.

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Integrators & IT services firms

Co-delivery on the AI building block

You keep the client relationship and the project, I bring the AI and get it into production. Native data sovereignty: you choose the right level of data control based on sensitivity.

saint-jean.co · integrating AI into your tools, without overinvesting.

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