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AI ⇄ ERP

Azure OpenAI to Microsoft Dynamics GP integration — real-time data sync

Keep Azure OpenAI and Microsoft Dynamics GP in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Azure OpenAI and Microsoft Dynamics GP

Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Microsoft Dynamics GP, and write the classifications, scores, and extracted fields Azure OpenAI produces back onto those records in real time.

Azure OpenAI 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 Azure OpenAI — 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 Azure OpenAI 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 Models, Fine-tuning jobs, Files, Batch jobs in Azure OpenAI with Customers, Vendors, Sales Documents (SOP), Purchase Orders (POP) in Microsoft Dynamics GP and keeps the two sides in sync in real time. Customers, Vendors, Sales Documents (SOP), Purchase Orders (POP) from Microsoft Dynamics GP replicate into Azure OpenAI continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Azure OpenAI 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. Azure OpenAI 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.

Common use cases

  • 01 Sync the Deployments inventory (model, version, TPM capacity) into Postgres so platform teams track every Azure OpenAI deployment across subscriptions in SQL.
  • 02 Land Fine-tuning jobs with their status, base model, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.
  • 03 Replicate GP company databases into a warehouse for financial and operational reporting.
  • 04 Sync customers and invoices between GP and a CRM so sales sees balances and billing history.

Common sync patterns

ERP records as live context

Customers, suppliers, items, and transactions from Microsoft Dynamics GP replicate into Azure OpenAI as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.

Derived fields back on the record

Categories, scores, or extracted values produced in Azure OpenAI sync onto the matching record in Microsoft Dynamics GP, where operations and finance teams see and act on them without leaving the ERP.

Continuous freshness, no reload

As records are created or corrected in Microsoft Dynamics GP, the copy held in Azure OpenAI updates within seconds, so the model side never reasons over stale ERP data.

What you can sync between Azure OpenAI and Microsoft Dynamics GP

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Azure OpenAI objects Microsoft Dynamics GP objects How this pairing syncs
Batch jobs Asynchronous bulk-inference jobs; status and output-file IDs are polled to completion to drive downstream pipeline triggers. Receivables & Payables Transactions Open and historical AR/AP transactions read for cash and aging reporting. Batch jobs is specific to Azure OpenAI and Receivables & Payables Transactions to Microsoft Dynamics GP — each maps to any object or custom field on the other side.
Usage and quota Per-deployment TPM/RPM consumption and remaining quota, read from usage endpoints and Azure Monitor for cost and throttling reporting. Company Databases Per-company SQL databases that define the scope of any sync. Usage and quota is specific to Azure OpenAI and Company Databases to Microsoft Dynamics GP — each maps to any object or custom field on the other side.
Assistants Persistent assistants (preview) with instructions, tools, and linked files; read as configuration inventory, not authored via sync. Customers Receivables master records (RM tables) synced with CRMs and billing tools. Assistants is specific to Azure OpenAI and Customers to Microsoft Dynamics GP — each maps to any object or custom field on the other side.
Vector stores File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status. Vendors Payables master records aligned with procurement and AP automation. Vector stores is specific to Azure OpenAI and Vendors to Microsoft Dynamics GP — each maps to any object or custom field on the other side.
Deployments Named model deployments (model, version, SKU, assigned TPM capacity) read as a control-plane inventory via Azure Resource Manager; read-only in sync. Sales Documents (SOP) Quotes, orders, and invoices created via eConnect from web or CRM orders. Deployments is specific to Azure OpenAI and Sales Documents (SOP) to Microsoft Dynamics GP — each maps to any object or custom field on the other side.
Models Catalog of base and fine-tunable models available per region; read-only reference data used to resolve deployment and fine-tuning targets. Purchase Orders (POP) Procurement documents reconciled with receiving and vendor systems. Models is specific to Azure OpenAI and Purchase Orders (POP) to Microsoft Dynamics GP — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Microsoft Dynamics GP

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Azure OpenAI Microsoft Dynamics GP Interval-based propagation

DetectionStacksync polls Azure OpenAI for changes on an incremental schedule, reading only records changed since the previous pass. Polling: list endpoints plus GET on job IDs for status.

DeliveryEach detected change is applied to Microsoft Dynamics GP as a row-level write, with types converted between the two schemas.

Microsoft Dynamics GP Azure OpenAI Sub-second propagation

DetectionChanges in Microsoft Dynamics GP are captured at the source via change data capture — no polling loop against its API. SQL Server change tracking or log-based CDC on the company database, or polling on row timestamps.

DeliveryAzure OpenAI does not accept inbound record writes, so this direction carries requests rather than records: Azure OpenAI's output flows back as field updates on the originating Microsoft Dynamics GP records.

Rate-limit considerations

  • Azure OpenAI: Per-deployment TPM and RPM limits (about 6 RPM per 1000 TPM), scoped by region and subscription; control-plane ARM calls throttle separately.
What ships with Azure OpenAI ⇄ Microsoft Dynamics GP

Connect Azure OpenAI and Microsoft Dynamics GP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Microsoft Dynamics GP connection.

Real-time

Real-time sync

Changes in Azure OpenAI or Microsoft Dynamics GP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or Microsoft Dynamics GP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Azure OpenAI or Microsoft Dynamics GP record.

Observability

Monitoring

Track your Azure OpenAI ⇄ Microsoft Dynamics GP sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure OpenAI and Microsoft Dynamics GP.

How the Azure OpenAI and Microsoft Dynamics GP connectors work

Azure OpenAI

Integration surface
REST data-plane (inference + authoring) and Azure Resource Manager control-plane
Authentication
API key in the api-key header, or a Microsoft Entra ID bearer token / managed identity
Change detection
Polling: list endpoints plus GET on job IDs for status; no webhooks or change feed. Fine-tuning and batch jobs expose queued/running/succeeded states.
Capabilities
read
Rate limits
Per-deployment TPM and RPM limits (about 6 RPM per 1000 TPM), scoped by region and subscription; control-plane ARM calls throttle separately.

Microsoft Dynamics GP

Integration surface
SQL Server database access plus the eConnect stored-procedure API; Web Services for GP on some deployments
Authentication
SQL Server credentials or Windows authentication
Change detection
SQL Server change tracking or log-based CDC on the company database, or polling on row timestamps
Capabilities
read · write · CDC
How it works

How to connect Azure OpenAI to Microsoft Dynamics GP — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Azure OpenAI and Microsoft Dynamics GP with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Azure OpenAI connected
    Microsoft Dynamics GP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and Microsoft Dynamics GP objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Azure OpenAI ⇄ Microsoft Dynamics GP
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Azure OpenAI Microsoft Dynamics GP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure OpenAI and Microsoft Dynamics GP integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 478 integrations available for Azure OpenAI and Microsoft Dynamics GP.

Popular · 6 of 478
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