Real-time
Real-time sync
Changes in Azure OpenAI or Infor CloudSuite instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ ERP
Azure OpenAI to Infor CloudSuite integration — real-time data sync
Keep Azure OpenAI and Infor CloudSuite 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 Infor CloudSuite
Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Infor CloudSuite, 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 Infor CloudSuite, so Infor CloudSuite 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. Infor CloudSuite 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 Infor CloudSuite where the business is run.
Stacksync connects Assistants, Vector stores, Deployments, Models in Azure OpenAI with Invoices, Inventory balances, GL journal entries, Items in Infor CloudSuite and keeps the two sides in sync in real time. Invoices, Inventory balances, GL journal entries, Items from Infor CloudSuite 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 Infor CloudSuite. 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 Pull per-deployment TPM/RPM usage into a warehouse for FinOps chargeback and quota-exhaustion alerting.
- 02 Mirror Assistants and Vector stores configuration into a database as an auditable inventory of retrieval assets and their linked files.
- 03 Flow ecommerce orders into CloudSuite and return order status and shipment data to the storefront.
- 04 Replicate ERP data into a warehouse for reporting without building custom ION integrations.
Common sync patterns
Continuous freshness, no reload
As records are created or corrected in Infor CloudSuite, 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 Infor CloudSuite maps to the corresponding entry in Azure OpenAI, so every AI result attaches to the right entity on both sides.
Document extraction round-trip
Purchase orders, invoices, or other documents flow from Infor CloudSuite into Azure OpenAI for parsing or classification, and the structured result returns to the record it came from.
What you can sync between Azure OpenAI and Infor CloudSuite
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 | Infor CloudSuite objects | How this pairing syncs | |
|---|---|---|---|
| Files Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back in sync. | Invoices Billing documents synced to finance and reporting systems. | Files is specific to Azure OpenAI and Invoices to Infor CloudSuite — 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. | Inventory balances On-hand quantities exposed so external channels quote against real stock. | Batch jobs is specific to Azure OpenAI and Inventory balances to Infor CloudSuite — 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. | GL journal entries Financial postings replicated for consolidated reporting. | Usage and quota is specific to Azure OpenAI and GL journal entries to Infor CloudSuite — 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. | Items Product and material masters synced to commerce, CRM, and planning tools. | Assistants is specific to Azure OpenAI and Items to Infor CloudSuite — 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. | Customers Account masters matched against CRM records in two-way syncs. | Vector stores is specific to Azure OpenAI and Customers to Infor CloudSuite — 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. | Suppliers / vendors Procurement counterparties synced with sourcing and AP tools. | Deployments is specific to Azure OpenAI and Suppliers / vendors to Infor CloudSuite — each maps to any object or custom field on the other side. |
How changes propagate between Azure OpenAI and Infor CloudSuite
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 Infor CloudSuite 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 Infor CloudSuite through its API, with automatic retries and rate-limit backoff.
Infor CloudSuite Azure OpenAI Interval-based propagation
DetectionStacksync polls Infor CloudSuite for changes on an incremental schedule, reading only records changed since the previous pass. Event-style BOD publications through Infor ION where configured.
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 Infor CloudSuite 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.
- Infor CloudSuite: Subject to the ION API gateway's rate limiting policies for the tenant.
What ships with Azure OpenAI ⇄ Infor CloudSuite
Connect Azure OpenAI and Infor CloudSuite for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Infor CloudSuite connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure OpenAI or Infor CloudSuite 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 Infor CloudSuite record.
Observability
Monitoring
Track your Azure OpenAI ⇄ Infor CloudSuite 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 Infor CloudSuite.
How the Azure OpenAI and Infor CloudSuite 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.
Infor CloudSuite
- Integration surface
- REST APIs exposed through the Infor ION API gateway; integration payloads are standardized as Business Object Documents (BODs)
- Authentication
- OAuth 2.0 via Infor OS / ION API credentials
- Change detection
- Event-style BOD publications through Infor ION where configured; otherwise polling
- Capabilities
- read · write
- Rate limits
- Subject to the ION API gateway's rate limiting policies for the tenant.
How it works
How to connect Azure OpenAI to Infor CloudSuite — 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.
- 01
Connect your apps
Authenticate Azure OpenAI and Infor CloudSuite with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure OpenAI
connected
Infor CloudSuite
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure OpenAI and Infor CloudSuite 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.
objects · Azure OpenAI ⇄ Infor CloudSuiteCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Azure OpenAI Infor CloudSuiteCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure OpenAI and Infor CloudSuite integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Azure OpenAI and Infor CloudSuite — Azure OpenAI is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure OpenAI and Infor CloudSuite records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure OpenAI and Infor CloudSuite connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure OpenAI–Infor CloudSuite integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure OpenAI and Infor CloudSuite. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Azure OpenAI: 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. On Infor CloudSuite: Event-style BOD publications through Infor ION where configured; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Azure OpenAI side: Assistants, Vector stores, Deployments, Models, plus custom fields where Azure OpenAI exposes them. On the Infor CloudSuite side: Invoices, Inventory balances, GL journal entries, Items. Stacksync auto-detects both schemas and converts types between the two systems.
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 378 integrations available for Azure OpenAI and Infor CloudSuite.
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