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AI ⇄ CRM

Azure OpenAI to Kommo integration — real-time data sync

Keep Azure OpenAI and Kommo 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 Kommo

Flow Azure OpenAI data into Kommo 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 Kommo, so Kommo 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 Kommo, 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 Kommo.

Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Kommo stays the record of the customer while Azure OpenAI stays where the computation happens.

Common use cases

  • 01 Poll Batch jobs into an operational database and fire the next pipeline step when a job's status turns to completed.
  • 02 Pull per-deployment TPM/RPM usage into a warehouse for FinOps chargeback and quota-exhaustion alerting.
  • 03 Push web form and product signups into Kommo pipelines as they are submitted so messenger-based follow-up starts quickly
  • 04 Keep customer records consistent between Kommo and invoicing or ERP systems

Common sync patterns

Where Azure OpenAI scores or ranks records: results on the CRM record

Lead scores, fit ratings, or priority computed in Azure OpenAI land as fields on the matching contact or account in Kommo, so reps sort and act on them without leaving the CRM.

Where Azure OpenAI classifies or tags: labels sync onto the record

Categories, sentiment, or intent produced in Azure OpenAI attach to the right contact, account, or deal in Kommo, keeping segmentation current as new data arrives.

Where Azure OpenAI indexes records for retrieval: Kommo keeps it fresh

Contacts, accounts, and notes from Kommo sync into Azure OpenAI as they change, so embeddings or search stay aligned with the live CRM instead of a stale export.

What you can sync between Azure OpenAI and Kommo

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 Kommo objects How this pairing syncs
Assistants Persistent assistants (preview) with instructions, tools, and linked files; read as configuration inventory, not authored via sync. Contacts Person records sync with other CRMs and databases for a shared contact file. Assistants is specific to Azure OpenAI and Contacts to Kommo — 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. Companies Organization records map to accounts in ERPs and invoicing tools. Vector stores is specific to Azure OpenAI and Companies to Kommo — 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. Pipelines & Statuses Stage definitions structure lead progress and drive stage-change syncs to reporting tools. Deployments is specific to Azure OpenAI and Pipelines & Statuses to Kommo — 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. Tasks Follow-up records keep rep activity consistent across systems. Models is specific to Azure OpenAI and Tasks to Kommo — 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. Notes Free-text and system notes attach context to synced leads and contacts. Fine-tuning jobs is specific to Azure OpenAI and Notes to Kommo — 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. Custom Fields Per-entity custom fields hold data written from external databases and enrichment. Files is specific to Azure OpenAI and Custom Fields to Kommo — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Kommo

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

Kommo Azure OpenAI Sub-second propagation

DetectionKommo notifies Stacksync of record changes through webhook events. Webhooks on record add and update events, plus polling for backfill.

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 Kommo 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.
  • Kommo: Subject to per-account request rate limits.
What ships with Azure OpenAI ⇄ Kommo

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or Kommo 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 Kommo record.

Observability

Monitoring

Track your Azure OpenAI ⇄ Kommo 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 Kommo.

How the Azure OpenAI and Kommo 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.

Kommo

Integration surface
REST API
Authentication
OAuth 2.0 with refresh tokens
Change detection
Webhooks on record add and update events, plus polling for backfill
Capabilities
read · write · webhooks
Rate limits
Subject to per-account request rate limits
How it works

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

    Choose tables

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

Azure OpenAI and Kommo 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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→ SECURITY WITH BENEFITS

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 491 integrations available for Azure OpenAI and Kommo.

Popular · 8 of 491
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