Real-time sync
Changes in Azure OpenAI or Close instantly reflect in both systems. No stale data, no manual imports.
Keep Azure OpenAI and Close 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 Close, so Close always reflects the current state of Azure OpenAI — without exports, scripts, or schedulers.
Azure OpenAI turns data into something a revenue team can act on: scores, classifications, summaries, and embeddings. But the customers those results describe live in Close, where reps and marketers actually work. Intelligence that stays inside Azure OpenAI rarely reaches the record where a decision gets made, and Azure OpenAI is only as sharp as the data it sees, which is also held in Close.
Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Close stays the record of the customer while Azure OpenAI stays where the computation happens.
Enriched attributes from Azure OpenAI populate contact and company fields in Close, and refreshes keep them from going stale.
Lead scores, fit ratings, or priority computed in Azure OpenAI land as fields on the matching contact or account in Close, so reps sort and act on them without leaving the CRM.
Categories, sentiment, or intent produced in Azure OpenAI attach to the right contact, account, or deal in Close, keeping segmentation current as new data arrives.
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 | Close objects | How this pairing syncs | |
|---|---|---|---|
| Assistants Persistent assistants (preview) with instructions, tools, and linked files; read as configuration inventory, not authored via sync. | Smart Views Saved lead searches that can scope which records a segment-based sync pulls. | Assistants is specific to Azure OpenAI and Smart Views to Close — 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. | Leads The top-level record in Close; represents a company and holds its contacts, opportunities, and activity history. | Vector stores is specific to Azure OpenAI and Leads to Close — 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. | Contacts People nested under a lead, with emails and phone numbers used for outreach syncs. | Deployments is specific to Azure OpenAI and Contacts to Close — 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. | Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems. | Models is specific to Azure OpenAI and Opportunities to Close — 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. | Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics. | Fine-tuning jobs is specific to Azure OpenAI and Activities to Close — 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. | Tasks Follow-up items assigned to users; synced for workload and SLA reporting. | Files is specific to Azure OpenAI and Tasks to Close — 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 Close through its API, with automatic retries and rate-limit backoff.
DetectionClose notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling on date_updated fields for backfills.
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 Close records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Close connection.
Changes in Azure OpenAI or Close instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure OpenAI or Close 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 Close record.
Track your Azure OpenAI ⇄ Close sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure OpenAI and Close.
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 Close 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 Close 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 Close — 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 is a read-only source, so this integration runs one-way: Stacksync reads from Azure OpenAI in real time and delivers into Close. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Azure OpenAI and Close: Where Azure OpenAI enriches people or companies: fields fill in; Where Azure OpenAI scores or ranks records: results on the CRM record; Where Azure OpenAI classifies or tags: labels sync onto the record. Enriched attributes from Azure OpenAI populate contact and company fields in Close, and refreshes keep them from going stale.
Azure OpenAI: 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. Close: REST API. Authentication: API key (sent via HTTP Basic auth). Stacksync manages authentication, retries, and rate limits on both sides.
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. Close: Custom fields are addressed by stable ids rather than display names, so field mappings survive renames. Stacksync's field mapping accounts for these differences between Azure OpenAI and Close 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 Close records are not retained after a sync operation.
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 502 integrations available for Azure OpenAI and Close.