Real-time
Two-way sync
Changes in Atlassian or Chorusai instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ CRM
Atlassian to Chorusai integration — real-time, two-way sync
Keep Atlassian and Chorusai 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 Atlassian and Chorusai
Sync what happens in Atlassian 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 Atlassian 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 Jira Issues, Jira Projects, Boards and Sprints, Issue Comments in Atlassian to Moments, Playlists, Engagements, Recordings (Conversations) in Chorusai with bi-directional, real-time sync. Activity and record changes in Atlassian update the matching contact or account in Chorusai, and CRM data flows the other way wherever Atlassian can store and use it.
Common use cases
- 01 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- 02 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- 03 Sync Trackers such as pricing, competitor, and next-steps mentions onto matching CRM Opportunities as coaching and deal-risk signals.
- 04 Export Scorecards and their scores to a database to power rep-coaching and QA dashboards across sales teams.
Common sync patterns
Where Atlassian can store CRM context: fields kept current
Owner, lifecycle stage, or account details from Chorusai sync into Atlassian, so people working there have the context without switching tools.
Where Atlassian 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 Atlassian supplies contact or company data
Enriched fields land directly on records in Chorusai, and refreshes keep them from going stale.
What you can sync between Atlassian and Chorusai
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.
| Atlassian objects | Chorusai objects | How this pairing syncs | |
|---|---|---|---|
| Users and Groups Assignees and reporters matched to identities in other tools. | Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. | Users and Groups is specific to Atlassian and Engagements to Chorusai — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Recordings (Conversations) The recorded call with utterances, transcript, thumbnails, and metrics; read for analysis and uploaded or deleted through the API. | Confluence Pages is specific to Atlassian and Recordings (Conversations) to Chorusai — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Users Chorus users with roles and team membership; read to map engagement owners and participants to CRM and warehouse identities. | Confluence Spaces is specific to Atlassian and Users to Chorusai — each maps to any object or custom field on the other side. | |
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. | Jira Issues is specific to Atlassian and Trackers to Chorusai — each maps to any object or custom field on the other side. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. | Jira Projects is specific to Atlassian and Deals to Chorusai — each maps to any object or custom field on the other side. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. | Boards and Sprints is specific to Atlassian and Scorecards to Chorusai — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Chorusai
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.
Atlassian Chorusai Sub-second propagation
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryEach detected change is written to Chorusai through its API, with automatic retries and rate-limit backoff.
Chorusai Atlassian 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 Atlassian 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.
What ships with Atlassian ⇄ Chorusai
Connect Atlassian and Chorusai for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Chorusai connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Chorusai 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 Atlassian or Chorusai record.
Observability
Monitoring
Track your Atlassian ⇄ Chorusai sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Atlassian and Chorusai.
How the Atlassian and Chorusai connectors work
Atlassian
- Integration surface
- REST APIs per product (Jira Cloud and Confluence Cloud)
- Authentication
- OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
- Change detection
- Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
- Capabilities
- read · write · webhooks
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
How it works
How to connect Atlassian to Chorusai — 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 Atlassian and Chorusai with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Chorusai
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Chorusai 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 · Atlassian ⇄ ChorusaiCustomers 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.
Atlassian ChorusaiCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Chorusai integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Chorusai: authenticate both systems, choose the objects to sync (such as Atlassian's Users and Groups and Confluence Pages), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Atlassian: Jira custom fields are identified by instance-specific IDs (customfield_XXXXX), so field mappings must be discovered per site rather than hard-coded. Chorusai: There are no public change webhooks; new and updated engagements are found by polling the engagements endpoint filtered on date_time and processing_state. Stacksync's field mapping accounts for these differences between Atlassian and Chorusai without custom code.
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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 Atlassian and Chorusai records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Chorusai connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Chorusai integration in-house.
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Yes — Stacksync ships production-grade connectors for both Atlassian and Chorusai. 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 Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Chorusai: Polling the engagements endpoint on date_time and processing_state; no public change webhooks or CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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:
Related integrations
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