Real-time sync
Changes in Azure OpenAI or Freshsales instantly reflect in both systems. No stale data, no manual imports.
Keep Azure OpenAI and Freshsales 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 Freshsales, so Freshsales 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 Freshsales, 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 Freshsales.
Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Freshsales stays the record of the customer while Azure OpenAI stays where the computation happens.
Summaries, next steps, or drafted messages generated in Azure OpenAI write back onto the account or deal in Freshsales, next to the relationship they describe.
Enriched attributes from Azure OpenAI populate contact and company fields in Freshsales, 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 Freshsales, so reps sort and act on them without leaving the CRM.
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 | Freshsales objects | How this pairing syncs | |
|---|---|---|---|
| Vector stores File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status. | Products Catalog items attached to deals for line-level revenue data. | Vector stores is specific to Azure OpenAI and Products to Freshsales — 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 Person records carrying lifecycle stages; the main entity for two-way CRM syncs. | Deployments is specific to Azure OpenAI and Contacts to Freshsales — 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. | Accounts Company records kept aligned with billing, ERP, and warehouse tables. | Models is specific to Azure OpenAI and Accounts to Freshsales — 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. | Deals Pipeline records synced to a warehouse for revenue reporting. | Fine-tuning jobs is specific to Azure OpenAI and Deals to Freshsales — 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 Rep to-dos created from external triggers or synced for productivity reporting. | Files is specific to Azure OpenAI and Tasks to Freshsales — 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. | Appointments Scheduled meetings readable for activity analytics. | Batch jobs is specific to Azure OpenAI and Appointments to Freshsales — 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 Freshsales through its API, with automatic retries and rate-limit backoff.
DetectionFreshsales notifies Stacksync of record changes through webhook events. Polling with updated-at filters through views.
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 Freshsales records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Freshsales connection.
Changes in Azure OpenAI or Freshsales instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure OpenAI or Freshsales 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 Freshsales record.
Track your Azure OpenAI ⇄ Freshsales sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure OpenAI and Freshsales.
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 Freshsales 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 Freshsales 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 Freshsales — 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure OpenAI and Freshsales connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure OpenAI–Freshsales integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure OpenAI and Freshsales. 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 Freshsales: Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure OpenAI side: Fine-tuning jobs, Files, Batch jobs, Usage and quota, plus custom fields where Azure OpenAI exposes them. On the Freshsales side: Sales activities, Products, Contacts, Accounts. Stacksync auto-detects both schemas and converts types between the two systems.
Azure OpenAI is a read-only source, so this integration runs one-way: Stacksync reads from Azure OpenAI in real time and delivers into Freshsales. Field mapping and monitoring work the same as for two-way pairs.
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 495 integrations available for Azure OpenAI and Freshsales.