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AI ⇄ ERP

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

Keep Azure OpenAI and Microsoft Dynamics NAV 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Azure OpenAI and Microsoft Dynamics NAV

Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Microsoft Dynamics NAV, 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 NAV, so Microsoft Dynamics NAV 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 NAV 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 NAV where the business is run.

Stacksync connects Vector stores, Deployments, Models, Fine-tuning jobs in Azure OpenAI with Dimensions, Companies, Customers, Vendors in Microsoft Dynamics NAV and keeps the two sides in sync in real time. Dimensions, Companies, Customers, Vendors from Microsoft Dynamics NAV 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 NAV. 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 G/L and ledger entries into a warehouse for consolidated finance reporting.
  • 04 Keep inventory availability current in storefronts and customer portals.

Common sync patterns

Derived fields back on the record

Categories, scores, or extracted values produced in Azure OpenAI sync onto the matching record in Microsoft Dynamics NAV, 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 NAV, the copy held in Azure OpenAI updates within seconds, so the model side never reasons over stale ERP data.

One consistent identity across both systems

A customer, supplier, item, or transaction in Microsoft Dynamics NAV maps to the corresponding entry in Azure OpenAI, so every AI result attaches to the right entity on both sides.

What you can sync between Azure OpenAI and Microsoft Dynamics NAV

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 NAV objects How this pairing syncs
Vector stores File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status. Dimensions Analytical codes carried on documents and entries for reporting splits. Vector stores is specific to Azure OpenAI and Dimensions to Microsoft Dynamics NAV — 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. Companies Per-company data partitions that scope every sync. Deployments is specific to Azure OpenAI and Companies to Microsoft Dynamics NAV — 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. Customers Customer cards synced with CRMs so sales sees ERP balances and terms. Models is specific to Azure OpenAI and Customers to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Fine-tuning jobs Training jobs with status, base model, hyperparameters, and result files; status is polled from queued through succeeded or failed. Vendors Vendor cards aligned with procurement and AP tools. Fine-tuning jobs is specific to Azure OpenAI and Vendors to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Files Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back in sync. Items Item cards and availability mirrored to ecommerce and planning systems. Files is specific to Azure OpenAI and Items to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Batch jobs Asynchronous bulk-inference jobs; status and output-file IDs are polled to completion to drive downstream pipeline triggers. Sales Orders & Invoices Sales documents created from external orders and read back for posting status. Batch jobs is specific to Azure OpenAI and Sales Orders & Invoices to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Microsoft Dynamics NAV

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 NAV 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 NAV as a row-level write, with types converted between the two schemas.

Microsoft Dynamics NAV Azure OpenAI Sub-second propagation

DetectionChanges in Microsoft Dynamics NAV are captured at the source via change data capture — no polling loop against its API. Polling on modified/timestamp fields, or SQL Server change tracking/CDC on on-premises databases.

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 NAV 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 NAV

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

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

Real-time

Real-time sync

Changes in Azure OpenAI or Microsoft Dynamics NAV 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 NAV 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 NAV record.

Observability

Monitoring

Track your Azure OpenAI ⇄ Microsoft Dynamics NAV 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 NAV.

How the Azure OpenAI and Microsoft Dynamics NAV 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 NAV

Integration surface
SOAP and OData web services published from NAV pages and codeunits; direct SQL Server access on-premises
Authentication
Windows authentication or NavUserPassword credentials
Change detection
Polling on modified/timestamp fields, or SQL Server change tracking/CDC on on-premises databases; no native webhooks
Capabilities
read · write · CDC
How it works

How to connect Azure OpenAI to Microsoft Dynamics NAV — 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 NAV 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 NAV connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and Microsoft Dynamics NAV 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 NAV
    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 NAV
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Azure OpenAI and Microsoft Dynamics NAV 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 477 integrations available for Azure OpenAI and Microsoft Dynamics NAV.

Popular · 8 of 477
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