Real-time sync
Changes in Azure OpenAI or Gladly instantly reflect in both systems. No stale data, no manual imports.
Keep Azure OpenAI and Gladly 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 Gladly, so Gladly 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 Gladly, 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 Gladly.
Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Gladly stays the record of the customer while Azure OpenAI stays where the computation happens.
Lead scores, fit ratings, or priority computed in Azure OpenAI land as fields on the matching contact or account in Gladly, 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 Gladly, keeping segmentation current as new data arrives.
Contacts, accounts, and notes from Gladly sync into Azure OpenAI as they change, so embeddings or search stay aligned with the live CRM instead of a stale export.
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 | Gladly objects | How this pairing syncs | |
|---|---|---|---|
| Batch jobs Asynchronous bulk-inference jobs; status and output-file IDs are polled to completion to drive downstream pipeline triggers. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Batch jobs is specific to Azure OpenAI and Topics to Gladly — 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. | Tasks Follow-up work items created from external triggers or synced for workload reporting. | Usage and quota is specific to Azure OpenAI and Tasks to Gladly — 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. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Assistants is specific to Azure OpenAI and Customer profiles to Gladly — 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. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Vector stores is specific to Azure OpenAI and Conversations to Gladly — 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. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Deployments is specific to Azure OpenAI and Conversation items to Gladly — 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. | Agents User records used to attribute work in CX analytics. | Models is specific to Azure OpenAI and Agents to Gladly — 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 Gladly through its API, with automatic retries and rate-limit backoff.
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
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 Gladly records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Gladly connection.
Changes in Azure OpenAI or Gladly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure OpenAI or Gladly 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 Gladly record.
Track your Azure OpenAI ⇄ Gladly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure OpenAI and Gladly.
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 Gladly 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 Gladly 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 Gladly — 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. Gladly: Gladly's model is customer-centric rather than ticket-centric: each customer has one continuous conversation timeline, and channel interactions attach as conversation items. Stacksync's field mapping accounts for these differences between Azure OpenAI and Gladly 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 Gladly 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 Gladly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure OpenAI–Gladly integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure OpenAI and Gladly. 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 Gladly: Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports. 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 384 integrations available for Azure OpenAI and Gladly.