Real-time
Two-way sync
Changes in Chorusai or Slack instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Business productivity
Chorusai to Slack integration — real-time, two-way sync
Keep Chorusai and Slack 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Chorusai and Slack
Sync what happens in Slack with the customer records in Chorusai, in real time and in both directions.
The CRM is supposed to be the record of every customer relationship, but customer-relevant information also accumulates in the other tools a team runs. Whatever Slack holds or produces that touches a customer, whether conversations, payments, replies, enriched data, or notes, the CRM only benefits if it arrives without someone copying it over.
Stacksync connects Channels, Messages, Threads, Users in Slack to Trackers, Deals, Scorecards, Moments in Chorusai with bi-directional, real-time sync. Activity and record changes in Slack update the matching contact or account in Chorusai, and CRM data flows the other way wherever Slack can store and use it.
Common use cases
- 01 Create or update records in a database when specific messages or reactions occur in a channel
- 02 Alert an operations channel when a data sync detects conflicts or validation failures
- 03 Upload externally recorded dialer or web-conference audio into Chorus as Recordings so it gets transcribed and analyzed like native calls.
- 04 Sync Trackers such as pricing, competitor, and next-steps mentions onto matching CRM Opportunities as coaching and deal-risk signals.
Common sync patterns
Where Slack handles support or shared inboxes
Tickets and conversations attach to the right contact and account in Chorusai, so sales sees open issues before the next call.
Where Slack supplies contact or company data
Enriched fields land directly on records in Chorusai, and refreshes keep them from going stale.
Where Slack can store CRM context: fields kept current
Owner, lifecycle stage, or account details from Chorusai sync into Slack, so people working there have the context without switching tools.
What you can sync between Chorusai and Slack
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 | Slack objects | How this pairing syncs | |
|---|---|---|---|
| Users Chorus users with roles and team membership; read to map engagement owners and participants to CRM and warehouse identities. | Users Workspace members with profile fields, synced against HR systems and identity providers. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. | Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. | Deals is specific to Chorusai and Threads to Slack — each maps to any object or custom field on the other side. | |
| Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. | User groups Handles like @support that map to teams in external systems. | Scorecards is specific to Chorusai and User groups to Slack — each maps to any object or custom field on the other side. | |
| Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. | Files Uploads attached to messages, retrievable for archiving. | Moments is specific to Chorusai and Files to Slack — 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. | Reactions Emoji responses that can drive workflows, such as approving a synced record. | Playlists is specific to Chorusai and Reactions to Slack — 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. | Channels Conversations (public, private, DMs) that messages are read from and posted to. | Engagements is specific to Chorusai and Channels to Slack — each maps to any object or custom field on the other side. |
How changes propagate between Chorusai and Slack
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 Slack 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 Slack through its API, with automatic retries and rate-limit backoff.
Slack Chorusai Sub-second propagation
DetectionSlack notifies Stacksync of record changes through webhook events. Events API webhooks, delivered over HTTP callbacks or Socket Mode.
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.
- Slack: Per-method rate limit tiers; message posting is additionally limited per channel.
What ships with Chorusai ⇄ Slack
Connect Chorusai and Slack for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–Slack connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Chorusai or Slack 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 Slack record.
Observability
Monitoring
Track your Chorusai ⇄ Slack 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 Slack.
How the Chorusai and Slack 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
Slack
- Integration surface
- Web API (HTTP RPC-style methods) plus the Events API
- Authentication
- OAuth 2.0 with bot or user tokens and granular scopes
- Change detection
- Events API webhooks, delivered over HTTP callbacks or Socket Mode
- Capabilities
- read · write · webhooks
- Rate limits
- Per-method rate limit tiers; message posting is additionally limited per channel
How it works
How to connect Chorusai to Slack — 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.
- 01
Connect your apps
Authenticate Chorusai and Slack with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Chorusai
connected
Slack
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Chorusai and Slack 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.
objects · Chorusai ⇄ SlackCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Chorusai SlackCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Chorusai and Slack integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Chorusai and Slack: authenticate both systems, choose the objects to sync (such as Chorusai's Users and Deals), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Chorusai and Slack. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Chorusai: Polling the engagements endpoint on date_time and processing_state; no public change webhooks or CDC. On Slack: Events API webhooks, delivered over HTTP callbacks or Socket Mode. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Slack side: Channels, Messages, Threads, Users, plus custom fields where Slack exposes them. On the Chorusai side: Trackers, Deals, Scorecards, Moments. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Chorusai and Slack: Where Slack handles support or shared inboxes; Where Slack supplies contact or company data; Where Slack can store CRM context: fields kept current. Tickets and conversations attach to the right contact and account in Chorusai, so sales sees open issues before the next call.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ 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:
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