Anthropic to Microsoft Dynamics GP integration — real-time data sync

Anthropic is a read-only source: Stacksync reads its data in real time and delivers it into Microsoft Dynamics GP, so Microsoft Dynamics GP always reflects the current state of Anthropic — without exports, scripts, or schedulers.

An AI system does not keep customers, orders, or invoices the way an ERP does. What it keeps is derived: the vectors and metadata in a store, or the classifications, extracted fields, and generated text a model produces over records it was handed. Microsoft Dynamics GP is where those source records actually live, across finance, operations, procurement, and inventory, and that data usually stays behind a strict API with many record types. Whatever Anthropic produces, whether a category, a risk flag, an extracted value, or an embedding, only earns its keep when it lands back on the record in Microsoft Dynamics GP where the business is run.

Stacksync connects Cost Report, Workspaces, Organization Members, API Keys in Anthropic with Purchase Orders (POP), Inventory Items (IV), GL Accounts & Journal Entries, Receivables & Payables Transactions in Microsoft Dynamics GP and keeps the two sides in sync in real time. Purchase Orders (POP), Inventory Items (IV), GL Accounts & Journal Entries, Receivables & Payables Transactions from Microsoft Dynamics GP replicate into Anthropic continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Anthropic generates sync back onto the matching record in Microsoft Dynamics GP. Mapping is field-level, matching is on identifiers you choose, and Stacksync handles the ERP's API limits and schema drift, so there is no extraction pipeline to build or babysit.

Because every AI-side item carries the key of the record it came from, results always resolve to the right customer, supplier, or transaction. Anthropic reasons over the business as it actually is within seconds of a change, and the people running operations act on model output where they already work, without exporting a file or logging into a second system.