Skip to content
AI ⇄ ERP

Azure OpenAI to SAP integration — real-time data sync

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

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Azure OpenAI and SAP

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

Stacksync connects Assistants, Vector stores, Deployments, Models in Azure OpenAI with Sales Orders, Purchase Orders, Outbound Deliveries, Billing Documents in SAP and keeps the two sides in sync in real time. Sales Orders, Purchase Orders, Outbound Deliveries, Billing Documents from SAP 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 SAP. 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 Land Fine-tuning jobs with their status, base model, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.
  • 02 Poll Batch jobs into an operational database and fire the next pipeline step when a job's status turns to completed.
  • 03 Publish plant-level inventory to e-commerce and planning systems on change or on schedule.
  • 04 Replicate journal entries and billing documents to a warehouse for finance analytics without loading the ERP.

Common sync patterns

Derived fields back on the record

Categories, scores, or extracted values produced in Azure OpenAI sync onto the matching record in SAP, 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 SAP, 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 SAP 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 SAP

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 SAP objects How this pairing syncs
Fine-tuning jobs Training jobs with status, base model, hyperparameters, and result files; status is polled from queued through succeeded or failed. Cost Centers Controlling masters read for mapping costs in finance integrations. Fine-tuning jobs is specific to Azure OpenAI and Cost Centers to SAP — 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. Business Partners The unified customer and supplier master in S/4HANA, the anchor object for CRM and procurement syncs. Files is specific to Azure OpenAI and Business Partners to SAP — 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. Materials (Products) Item master with plant and sales views, synced to commerce, PLM, and CRM systems. Batch jobs is specific to Azure OpenAI and Materials (Products) to SAP — 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. Sales Orders Order documents written from external channels and read for status and fulfillment. Usage and quota is specific to Azure OpenAI and Sales Orders to SAP — 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. Purchase Orders Procurement documents synced with supplier portals and spend tools. Assistants is specific to Azure OpenAI and Purchase Orders to SAP — 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. Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals. Vector stores is specific to Azure OpenAI and Outbound Deliveries to SAP — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and SAP

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 SAP 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 written to SAP through its API, with automatic retries and rate-limit backoff.

SAP Azure OpenAI Sub-second propagation

DetectionSAP notifies Stacksync of record changes through webhook events. Business events via SAP Event Mesh on S/4HANA.

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 SAP 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.
  • SAP: Throttling is configured at the gateway and tenant level rather than as a single published rate limit.
What ships with Azure OpenAI ⇄ SAP

Connect Azure OpenAI and SAP for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or SAP 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 SAP record.

Observability

Monitoring

Track your Azure OpenAI ⇄ SAP 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 SAP.

How the Azure OpenAI and SAP 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.

SAP

Integration surface
OData (v2/v4) APIs on S/4HANA; BAPI/RFC and IDoc on ECC and on-prem systems; SOAP services
Authentication
OAuth 2.0 or basic auth via communication arrangements on cloud editions; SAP user credentials for RFC on-prem
Change detection
Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC
Capabilities
read · write · webhooks
Rate limits
Throttling is configured at the gateway and tenant level rather than as a single published rate limit
How it works

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

    Choose tables

    Pick the Azure OpenAI and SAP 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 ⇄ SAP
    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 SAP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Azure OpenAI and SAP 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.

Learn more about security
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:

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 503 integrations available for Azure OpenAI and SAP.

Popular · 8 of 503
All Azure OpenAI integrations All SAP integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own