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AI ⇄ ERP

Azure OpenAI to Sage 100 integration — real-time data sync

Keep Azure OpenAI and Sage 100 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 Sage 100

Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Sage 100, 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 Sage 100, so Sage 100 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. Sage 100 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 Sage 100 where the business is run.

Stacksync connects Deployments, Models, Fine-tuning jobs, Files in Azure OpenAI with AR Invoices, Purchase Orders, GL Accounts, Journal Entries in Sage 100 and keeps the two sides in sync in real time. AR Invoices, Purchase Orders, GL Accounts, Journal Entries from Sage 100 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 Sage 100. 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 Sync customers, invoices, and payment status into a CRM so sales sees AR standing without opening the ERP.
  • 04 Push e-commerce and EDI orders into the Sales Order module instead of rekeying them.

Common sync patterns

One consistent identity across both systems

A customer, supplier, item, or transaction in Sage 100 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 Sage 100 into Azure OpenAI for parsing or classification, and the structured result returns to the record it came from.

ERP records as live context

Customers, suppliers, items, and transactions from Sage 100 replicate into Azure OpenAI as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.

What you can sync between Azure OpenAI and Sage 100

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 Sage 100 objects How this pairing syncs
Models Catalog of base and fine-tunable models available per region; read-only reference data used to resolve deployment and fine-tuning targets. AR Invoices Billing documents synced outward for payment status and revenue reporting. Models is specific to Azure OpenAI and AR Invoices to Sage 100 — 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. Purchase Orders Procurement documents read for spend and receiving workflows. Fine-tuning jobs is specific to Azure OpenAI and Purchase Orders to Sage 100 — 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 Accounts Chart of accounts read for mapping transactions in finance integrations. Files is specific to Azure OpenAI and GL Accounts to Sage 100 — 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. Journal Entries Posted GL activity replicated to warehouses for FP&A. Batch jobs is specific to Azure OpenAI and Journal Entries to Sage 100 — 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 synced to CRMs for account and credit visibility. Usage and quota is specific to Azure OpenAI and Customers to Sage 100 — 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. Vendors AP vendor master records synced with procurement and payment tools. Assistants is specific to Azure OpenAI and Vendors to Sage 100 — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Sage 100

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 Sage 100 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 Sage 100 as a row-level write, with types converted between the two schemas.

Sage 100 Azure OpenAI Interval-based propagation

DetectionStacksync polls Sage 100 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled 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 Sage 100 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 ⇄ Sage 100

Connect Azure OpenAI and Sage 100 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Sage 100 connection.

Real-time

Real-time sync

Changes in Azure OpenAI or Sage 100 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or Sage 100 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 Sage 100 record.

Observability

Monitoring

Track your Azure OpenAI ⇄ Sage 100 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 Sage 100.

How the Azure OpenAI and Sage 100 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.

Sage 100

Integration surface
ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes
Authentication
Sage 100 company and user credentials; ODBC DSN credentials for direct reads
Change detection
Scheduled polling; no webhooks or change log on the integration surface
Capabilities
read · write
How it works

How to connect Azure OpenAI to Sage 100 — 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 Sage 100 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
    Sage 100 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and Sage 100 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 ⇄ Sage 100
    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 Sage 100
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure OpenAI and Sage 100 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 480 integrations available for Azure OpenAI and Sage 100.

Popular · 7 of 480
All Azure OpenAI integrations All Sage 100 integrations Browse all integrations
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