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CRM

Chorusai to Freshworks CRM integration — real-time, two-way sync

Keep Chorusai and Freshworks CRM 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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Why teams connect Chorusai and Freshworks CRM

Run Chorusai and Freshworks CRM side by side with the same accounts and contacts in both, whether they serve different teams or one is replacing the other.

Two CRMs in one company is more common than anyone plans for: an acquisition brings its own system, regions or business units standardize differently, or a migration is under way and both are live. In every case, some of the same companies and people exist in both systems, and every day of manual double entry pushes the copies further apart.

Stacksync syncs Scorecards, Moments, Playlists, Engagements in Chorusai with Sales activities, Lists, Notes, Contacts in Freshworks CRM in real time and in both directions, with field-level mapping and matching on identifiers you choose. Update a record in either CRM and the other reflects it within seconds.

Common use cases

  • 01 Read the Deals associated with each conversation to attribute call activity to open opportunities in a BI model.
  • 02 Upload externally recorded dialer or web-conference audio into Chorus as Recordings so it gets transcribed and analyzed like native calls.
  • 03 Mirror deal and activity data into a Postgres database that internal tools query directly.
  • 04 Sync unified contact records, covering sales and marketing attributes, into a warehouse for full-funnel reporting.

Common sync patterns

Divisional or regional split

Where each CRM serves a different team or region, sync just the shared accounts and contacts so handoffs and cross-sell work.

Where both track pipeline: deal visibility across systems

Deal stage and value on shared accounts stay visible from either CRM.

Post-acquisition consolidation

Keep both CRMs accurate while the merged team decides on a target system, instead of freezing one and losing months of updates.

What you can sync between Chorusai and Freshworks 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.

Chorusai objects Freshworks CRM objects How this pairing syncs
Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. Deals Pipeline records synced out for forecasting and full-funnel reporting. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. Tasks Follow-ups created from external signals such as product usage events. Moments is specific to Chorusai and Tasks to Freshworks CRM — each maps to any object or custom field on the other side.
Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. Appointments Meeting records readable for activity reporting. Playlists is specific to Chorusai and Appointments to Freshworks CRM — each maps to any object or custom field on the other side.
Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. Sales activities Logged activity types used in engagement and productivity analysis. Engagements is specific to Chorusai and Sales activities to Freshworks CRM — each maps to any object or custom field on the other side.
Recordings (Conversations) The recorded call with utterances, transcript, thumbnails, and metrics; read for analysis and uploaded or deleted through the API. Lists Contact list membership synced against segments computed in a warehouse. Recordings (Conversations) is specific to Chorusai and Lists to Freshworks CRM — each maps to any object or custom field on the other side.
Users Chorus users with roles and team membership; read to map engagement owners and participants to CRM and warehouse identities. Notes Context records attached to contacts, accounts, and deals. Users is specific to Chorusai and Notes to Freshworks CRM — each maps to any object or custom field on the other side.

How changes propagate between Chorusai and Freshworks CRM

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.

Chorusai Freshworks CRM Interval-based propagation

DetectionStacksync polls Chorusai for changes on an incremental schedule, reading only records changed since the previous pass. Polling the engagements endpoint on date_time and processing_state.

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

Freshworks CRM Chorusai Sub-second propagation

DetectionFreshworks CRM notifies Stacksync of record changes through webhook events. Polling with updated-at filters.

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

Rate-limit considerations

  • Chorusai: Rate limits are not publicly documented; recording upload and analysis are asynchronous, so transcripts and trackers appear only after processing_state completes.
  • Freshworks CRM: Subject to per-account API rate limits that vary by plan.
What ships with Chorusai ⇄ Freshworks CRM

Connect Chorusai and Freshworks CRM for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–Freshworks CRM connection.

Real-time

Two-way sync

Changes in Chorusai or Freshworks CRM instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Chorusai or Freshworks CRM 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 Chorusai or Freshworks CRM record.

Observability

Monitoring

Track your Chorusai ⇄ Freshworks CRM sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Chorusai and Freshworks CRM.

How the Chorusai and Freshworks CRM connectors work

Chorusai

Integration surface
REST API (api-docs.chorus.ai)
Authentication
Per-user API token generated in Chorus Personal Settings, sent in the Authorization request header
Change detection
Polling the engagements endpoint on date_time and processing_state; no public change webhooks or CDC
Capabilities
read · write
Rate limits
Rate limits are not publicly documented; recording upload and analysis are asynchronous, so transcripts and trackers appear only after processing_state completes
Chorusai setup guide

Freshworks CRM

Integration surface
REST API
Authentication
API key sent as a Token authorization header
Change detection
Polling with updated-at filters; outbound webhooks can be configured through workflow automations
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that vary by plan
How it works

How to connect Chorusai to Freshworks CRM — 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 Chorusai and Freshworks CRM 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
    Chorusai connected
    Freshworks CRM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Chorusai and Freshworks CRM 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 · Chorusai ⇄ Freshworks CRM
    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
    Chorusai Freshworks CRM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Chorusai and Freshworks CRM 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 543 integrations available for Chorusai and Freshworks CRM.

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