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CRM ⇄ AI

Gong to Openai integration — real-time data sync

Keep Gong and Openai in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Gong and Openai

Flow Openai data into Gong in real time — no exports, no schedulers, no custom scripts.

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

Openai turns data into something a revenue team can act on: scores, classifications, summaries, and embeddings. But the customers those results describe live in Gong, where reps and marketers actually work. Intelligence that stays inside Openai rarely reaches the record where a decision gets made, and Openai is only as sharp as the data it sees, which is also held in Gong.

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

Common use cases

  • 01 Subscribe to batch.completed and fine_tuning.job.succeeded webhooks so a downstream pipeline step fires the moment an offline-inference or training job finishes.
  • 02 Pull Administration Usage and Costs into a warehouse for FinOps chargeback, per-project budget tracking, and spend-tier planning.
  • 03 Upload warehouse- or CRM-derived Accounts, Opportunities, and stages into Gong through the CRM integration API so deal context shows alongside conversations.
  • 04 Submit data-privacy erase-data-for-email requests to Gong to fulfill GDPR/CCPA deletion across recorded conversations.

Common sync patterns

Where Openai enriches people or companies: fields fill in

Enriched attributes from Openai populate contact and company fields in Gong, and refreshes keep them from going stale.

Where Openai scores or ranks records: results on the CRM record

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

Where Openai classifies or tags: labels sync onto the record

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

What you can sync between Gong and Openai

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.

Gong objects Openai objects How this pairing syncs
Library Call-library folders and folder content (curated calls and snippets) read via GET /v2/library/folders and /v2/library/folder-content. Read-only. Batch jobs Asynchronous bulk-inference jobs within a 24-hour window, with status and output/error file IDs; completion detected by the batch.completed webhook or by polling. Library is specific to Gong and Batch jobs to Openai — each maps to any object or custom field on the other side.
Data Privacy (Erasure) GDPR/CCPA deletion handled by POST /v2/data-privacy/erase-data-for-email, with data-for-email lookups on the read side; a write path used for compliance deletions. Vector stores File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets. Data Privacy (Erasure) is specific to Gong and Vector stores to Openai — each maps to any object or custom field on the other side.
Calls Retrieved via POST /v2/calls/extensive with participants, topics, trackers, scorecards, and media URLs, filtered by fromDateTime/toDateTime; external recordings are also imported via POST /v2/calls with media uploaded via PUT /v2/calls/{id}/media. Read and write. Usage & Costs Per-model and per-project token, request, and dollar figures from the Administration Usage and Costs endpoints, read for FinOps chargeback and spend reporting. Calls is specific to Gong and Usage & Costs to Openai — each maps to any object or custom field on the other side.
Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. Projects & Members Organization projects, their members, and service accounts from the Administration API; read as an access-and-ownership inventory. Transcripts is specific to Gong and Projects & Members to Openai — each maps to any object or custom field on the other side.
Users Gong users and team members with roles, titles, email, and settings, read via GET /v2/users to map call owners and participants to CRM and warehouse identities. Read-only. Audit logs Organization audit-log events (API-key changes, logins, project edits) from the Administration API; read for compliance and security monitoring. Users is specific to Gong and Audit logs to Openai — each maps to any object or custom field on the other side.
Interaction Stats (Activity) Aggregated talk/listen ratios, interaction stats, and day-by-day user activity retrieved via POST /v2/stats endpoints; read out for coaching and engagement reporting. Read-only. Models Catalog of available base, snapshot, and fine-tuned models with owner and capabilities; read-only reference data used to resolve inference and fine-tuning targets. Interaction Stats (Activity) is specific to Gong and Models to Openai — each maps to any object or custom field on the other side.

How changes propagate between Gong and Openai

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.

Gong Openai Interval-based propagation

DetectionStacksync polls Gong for changes on an incremental schedule, reading only records changed since the previous pass. Polling POST /v2/calls/extensive on fromDateTime/toDateTime.

DeliveryOpenai does not accept inbound record writes, so this direction carries requests rather than records: Openai's output flows back as field updates on the originating Gong records.

Openai Gong Sub-second propagation

DetectionOpenai notifies Stacksync of record changes through webhook events. Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed,.

DeliveryEach detected change is written to Gong through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Gong: 3 API calls per second and 10,000 calls per day per company by default; exceeding returns HTTP 429 with a Retry-After header, and limits can be raised by contacting Gong.
  • Openai: Rate limits are set per organization and per project as RPM/RPD and TPM/TPD and rise across five spend-based usage tiers; responses carry x-ratelimit-remaining headers and return HTTP 429 on breach.
What ships with Gong ⇄ Openai

Connect Gong and Openai for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gong–Openai connection.

Real-time

Real-time sync

Changes in Gong or Openai instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gong or Openai 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 Gong or Openai record.

Observability

Monitoring

Track your Gong ⇄ Openai sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gong and Openai.

How the Gong and Openai connectors work

Gong

Integration surface
REST API on api.gong.io/v2 - retrieval endpoints (calls, transcript, users, stats, settings, library, logs) plus write endpoints for importing calls, uploading CRM data, and data-privacy erasure
Authentication
Basic authorization header combining an Access Key and Access Key Secret (created by a Gong technical admin, base64-encoded as key:secret); OAuth 2.0 Bearer tokens are supported for marketplace apps
Change detection
Polling POST /v2/calls/extensive on fromDateTime/toDateTime; the public API exposes no outbound webhooks or CDC, though a Gong admin can configure a product-side automation Rule that POSTs matching calls to a URL. Transcripts and analysis appear only after asynchronous processing.
Capabilities
read · write
Rate limits
3 API calls per second and 10,000 calls per day per company by default; exceeding returns HTTP 429 with a Retry-After header, and limits can be raised by contacting Gong.
Gong setup guide

Openai

Integration surface
REST API: data-plane inference and authoring (api.openai.com/v1) plus the Administration API (/v1/organization/*) for usage, costs, projects, and audit logs
Authentication
Bearer API key scoped to a project or user (sk-...) in the Authorization header, with optional OpenAI-Organization and OpenAI-Project headers; the Administration API requires an Admin key (sk-admin-...)
Change detection
Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed, and eval.run events; objects without a webhook are read by list plus GET-by-ID. No row-level CDC feed.
Capabilities
read · webhooks
Rate limits
Rate limits are set per organization and per project as RPM/RPD and TPM/TPD and rise across five spend-based usage tiers; responses carry x-ratelimit-remaining headers and return HTTP 429 on breach.
How it works

How to connect Gong to Openai — 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 Gong and Openai 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
    Gong connected
    Openai connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gong and Openai 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 · Gong ⇄ Openai
    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
    Gong Openai
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Gong and Openai 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 502 integrations available for Gong and Openai.

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