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AI ⇄ ERP

Azure OpenAI to SAP S/4HANA integration — real-time data sync

Keep Azure OpenAI and SAP S/4HANA 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 SAP S/4HANA

Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in SAP S/4HANA, 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 S/4HANA, so SAP S/4HANA 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 S/4HANA 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 S/4HANA where the business is run.

Stacksync connects Fine-tuning jobs, Files, Batch jobs, Usage and quota in Azure OpenAI with Production Orders, Business Partners, Sales Orders, Purchase Orders in SAP S/4HANA and keeps the two sides in sync in real time. Production Orders, Business Partners, Sales Orders, Purchase Orders from SAP S/4HANA 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 S/4HANA. 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 Mirror Assistants and Vector stores configuration into a database as an auditable inventory of retrieval assets and their linked files.
  • 02 Sync the Deployments inventory (model, version, TPM capacity) into Postgres so platform teams track every Azure OpenAI deployment across subscriptions in SQL.
  • 03 Keep supplier records aligned between S/4HANA procurement and third-party spend platforms.
  • 04 Push closed-won CRM opportunities into S/4HANA as sales orders without manual re-keying.

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 S/4HANA, 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 S/4HANA, 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 S/4HANA 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 S/4HANA

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 S/4HANA 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. Products / Materials Material master data distributed to e-commerce, PIM, and CRM catalogs. Batch jobs is specific to Azure OpenAI and Products / Materials to SAP S/4HANA — 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. Billing Documents (Invoices) Invoice data pushed to CRMs and payment or collections tools for finance visibility. Usage and quota is specific to Azure OpenAI and Billing Documents (Invoices) to SAP S/4HANA — 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. Deliveries Outbound delivery status synced to customer-facing systems for order tracking. Assistants is specific to Azure OpenAI and Deliveries to SAP S/4HANA — 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. Journal Entries Financial postings read into warehouses and consolidation tools for reporting. Vector stores is specific to Azure OpenAI and Journal Entries to SAP S/4HANA — 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. Customer / Supplier Roles Role-specific views of Business Partners mapped to CRM account types. Deployments is specific to Azure OpenAI and Customer / Supplier Roles to SAP S/4HANA — 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. Production Orders Manufacturing order status surfaced in planning and operations tools. Models is specific to Azure OpenAI and Production Orders to SAP S/4HANA — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and SAP S/4HANA

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 S/4HANA 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 S/4HANA through its API, with automatic retries and rate-limit backoff.

SAP S/4HANA Azure OpenAI Interval-based propagation

DetectionStacksync polls SAP S/4HANA for changes on an incremental schedule, reading only records changed since the previous pass. Polling on change timestamps exposed by the OData services.

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 S/4HANA 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 S/4HANA: Subject to the platform's API rate limits, which vary by edition and communication arrangement.
What ships with Azure OpenAI ⇄ SAP S/4HANA

Connect Azure OpenAI and SAP S/4HANA for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–SAP S/4HANA connection.

Real-time

Real-time sync

Changes in Azure OpenAI or SAP S/4HANA 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 S/4HANA 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 S/4HANA record.

Observability

Monitoring

Track your Azure OpenAI ⇄ SAP S/4HANA 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 S/4HANA.

How the Azure OpenAI and SAP S/4HANA 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 S/4HANA

Integration surface
OData REST APIs (v2/v4), with SOAP, BAPI/RFC, and IDoc interfaces on on-premise editions
Authentication
OAuth 2.0 with communication arrangements on cloud editions; basic auth or certificate-based on-premise
Change detection
Polling on change timestamps exposed by the OData services; business events can be emitted through SAP's event infrastructure on cloud editions
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits, which vary by edition and communication arrangement
How it works

How to connect Azure OpenAI to SAP S/4HANA — 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 S/4HANA 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 S/4HANA connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and SAP S/4HANA 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 S/4HANA
    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 S/4HANA
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure OpenAI and SAP S/4HANA 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 482 integrations available for Azure OpenAI and SAP S/4HANA.

Popular · 7 of 482
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