Real-time sync
Changes in Azure OpenAI or Syspro instantly reflect in both systems. No stale data, no manual imports.
Keep Azure OpenAI and Syspro in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Azure OpenAI is a read-only source: Stacksync reads its data in real time and delivers it into Syspro, so Syspro 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. Syspro 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 Syspro where the business is run.
Stacksync connects Fine-tuning jobs, Files, Batch jobs, Usage and quota in Azure OpenAI with GL journals, Warehouses, Customers, Suppliers in Syspro and keeps the two sides in sync in real time. GL journals, Warehouses, Customers, Suppliers from Syspro 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 Syspro. 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.
Purchase orders, invoices, or other documents flow from Syspro into Azure OpenAI for parsing or classification, and the structured result returns to the record it came from.
Customers, suppliers, items, and transactions from Syspro replicate into Azure OpenAI as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.
Categories, scores, or extracted values produced in Azure OpenAI sync onto the matching record in Syspro, where operations and finance teams see and act on them without leaving the ERP.
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 | Syspro 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. | AR invoices Billing documents surfaced to CRMs and finance reporting. | Fine-tuning jobs is specific to Azure OpenAI and AR invoices to Syspro — 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. | GL journals Financial postings extracted for consolidation and analytics. | Files is specific to Azure OpenAI and GL journals to Syspro — 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. | Warehouses Stocking locations that scope inventory balances. | Batch jobs is specific to Azure OpenAI and Warehouses to Syspro — 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. | Customers AR customer master records matched against CRM accounts. | Usage and quota is specific to Azure OpenAI and Customers to Syspro — 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. | Suppliers AP supplier records synced with procurement and payment systems. | Assistants is specific to Azure OpenAI and Suppliers to Syspro — 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. | Inventory items The stock master, kept aligned with WMS and e-commerce catalogs. | Vector stores is specific to Azure OpenAI and Inventory items to Syspro — each maps to any object or custom field on the other side. |
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.
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 Syspro through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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 Syspro records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Syspro connection.
Changes in Azure OpenAI or Syspro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure OpenAI or Syspro data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure OpenAI or Syspro record.
Track your Azure OpenAI ⇄ Syspro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure OpenAI and Syspro.
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.
Authenticate Azure OpenAI and Syspro with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Azure OpenAI and Syspro 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Azure OpenAI and Syspro — 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.
Azure OpenAI: Authentication is via an api-key header or a Microsoft Entra ID bearer token; managed identity is the recommended production method over shared keys. Syspro: External access goes through e.net business objects that apply the same validation and business logic as the SYSPRO client, so API writes cannot bypass ERP rules. Stacksync's field mapping accounts for these differences between Azure OpenAI and Syspro without custom code.
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 Syspro records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure OpenAI and Syspro connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure OpenAI–Syspro integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure OpenAI and Syspro. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Syspro: Polling; the ERP does not expose a change feed to external consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 479 integrations available for Azure OpenAI and Syspro.