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Azure OpenAI to Ironclad integration — real-time data sync

Keep Azure OpenAI and Ironclad 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 Ironclad

Flow Azure OpenAI data into Ironclad in real time — no exports, no schedulers, no custom scripts.

Azure OpenAI is a read-only source: Stacksync reads its data in real time and delivers it into Ironclad, so Ironclad always reflects the current state of Azure OpenAI — without exports, scripts, or schedulers.

Azure OpenAI works on data it does not own. The records, conversations, tickets, messages, and events it needs to embed, classify, summarize, or answer questions about actually live in Ironclad, the tool the team uses every day. So the value of Azure OpenAI depends on two flows that most teams stitch together with a custom script or a one-time export: getting Ironclad's data in, and getting the model's results back out to where people can act on them. When either flow runs on a batch or a stale snapshot, the model reasons over yesterday's data and its output never reaches the record it belongs to.

Stacksync syncs Workflow Approvals, Signature Packets, Workflow Documents, Workflows from Ironclad into Azure OpenAI continuously, so the model always works from current records instead of a snapshot, and writes Assistants, Vector stores, Deployments, Models, the scores, labels, summaries, drafts, and embedding metadata Azure OpenAI produces, back onto the matching record in Ironclad. The sync is field-level and keyed on a stable identifier, so every output attaches to the exact record it came from and each system keeps its own extra fields untouched.

You decide the direction and the trigger conditions per field: pull records one way to build and keep a retrieval corpus current, push results the other way onto the operational record, or both.

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 Sync Entities (counterparties) two-way with a CRM or ERP so company and vendor master data matches across the CLM and the systems of record.
  • 04 Stream workflow approval and signature webhook events into an operational database for cycle-time, bottleneck, and SLA reporting across the contract lifecycle.

Common sync patterns

Where Azure OpenAI classifies or scores: results land on the record

Categories, sentiment, priority, or scores produced by Azure OpenAI write back onto the matching record in Ironclad, so the team acts on them in the tool they already use.

Where Azure OpenAI generates text: drafts and summaries where the work happens

Summaries, suggested replies, or generated content from Azure OpenAI sync onto the Ironclad record as a field or note, ready for a person to review before it goes out.

Every output routes back to the right record

Because each item is matched on a stable identifier, an Azure OpenAI result always attaches to the record in Ironclad it was computed from, with no manual reconciliation.

What you can sync between Azure OpenAI and Ironclad

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 Ironclad objects How this pairing syncs
Usage and quota Per-deployment TPM/RPM consumption and remaining quota, read from usage endpoints and Azure Monitor for cost and throttling reporting. Entities Structured records for counterparties and other parties linked to workflows and records; read and written to keep company and vendor master data aligned with a CRM or ERP. Usage and quota is specific to Azure OpenAI and Entities to Ironclad — 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. Obligations Post-signature commitments, milestones, and renewal dates tied to contracts; synced two-way to drive renewal, compliance, and finance reporting in downstream systems. Assistants is specific to Azure OpenAI and Obligations to Ironclad — 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. Webhooks Event subscriptions that push workflow, approval, signature, document, and comment changes to Stacksync in near real time; created, listed, and deleted through the API across 40+ event types. Vector stores is specific to Azure OpenAI and Webhooks to Ironclad — 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. Workflow Approvals Per-workflow approval requests and their state; read to report approval status and cycle time, and status changes arrive live through the workflow_approval_status_changed event. Deployments is specific to Azure OpenAI and Workflow Approvals to Ironclad — 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. Signature Packets The e-signature packets on a workflow (sent, signatures collected, fully signed); read to track signing progress, with packet events delivered by webhook for real-time status. Models is specific to Azure OpenAI and Signature Packets to Ironclad — 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. Workflow Documents Draft and executed documents attached to a workflow; retrieved to pull generated or signed files out into a document store or archive. Fine-tuning jobs is specific to Azure OpenAI and Workflow Documents to Ironclad — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Ironclad

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 Ironclad 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 Ironclad through its API, with automatic retries and rate-limit backoff.

Ironclad Azure OpenAI Sub-second propagation

DetectionIronclad notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /webhooks) fire on 40+ workflow, approval, signature, document, and comment events, and Ironclad retries a failing.

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 Ironclad 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.
  • Ironclad: Limits are enforced per account per minute by endpoint: GET Workflows 400 and POST/PATCH Workflows 40; GET Records 600 and POST/PATCH Records 200; GET Entities 600 and POST/PATCH Entities 200; Webhooks 600; all other endpoints 800. Exceeding a limit returns HTTP 429, and Ironclad recommends exponential backoff with jitter.
What ships with Azure OpenAI ⇄ Ironclad

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or Ironclad 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 Ironclad record.

Observability

Monitoring

Track your Azure OpenAI ⇄ Ironclad 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 Ironclad.

How the Azure OpenAI and Ironclad 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.

Ironclad

Integration surface
REST/JSON Public API (CLM API) at https://na1.ironcladapp.com/public/api/v1 (NA1 and EU1 regions plus a demo/sandbox), with a native Webhooks subscription API; described by an OpenAPI 3.1 spec.
Authentication
OAuth 2.0 - Authorization Code grant (PKCE for public clients) and Client Credentials grant for server-to-server; access tokens are Bearer, expire after 6 hours, and every endpoint is gated by a resource scope. The legacy static API bearer token was deprecated on 2024-11-22.
Change detection
Native webhook subscriptions (POST /webhooks) fire on 40+ workflow, approval, signature, document, and comment events, and Ironclad retries a failing endpoint up to 10 times over about 13.6 hours with exponential backoff. Otherwise poll the list endpoints by last-updated. There is no database change-data-capture log.
Capabilities
read · write · webhooks
Rate limits
Limits are enforced per account per minute by endpoint: GET Workflows 400 and POST/PATCH Workflows 40; GET Records 600 and POST/PATCH Records 200; GET Entities 600 and POST/PATCH Entities 200; Webhooks 600; all other endpoints 800. Exceeding a limit returns HTTP 429, and Ironclad recommends exponential backoff with jitter.
How it works

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

    Choose tables

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

Azure OpenAI and Ironclad 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 484 integrations available for Azure OpenAI and Ironclad.

Popular · 8 of 484
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