Two-way sync
Changes in Atlassian or Autopilot instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and Autopilot in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Autopilot works on data it does not own. The records, conversations, tickets, messages, and events it needs to embed, classify, summarize, or answer questions about actually live in Atlassian, the tool the team uses every day. So the value of Autopilot depends on two flows that most teams stitch together with a custom script or a one-time export: getting Atlassian's data in, and getting the model's results back out to where people can act on them. When either flow runs on a batch or a stale snapshot, the model reasons over yesterday's data and its output never reaches the record it belongs to.
Stacksync syncs Boards and Sprints, Issue Comments, Attachments, Custom Fields from Atlassian into Autopilot continuously, so the model always works from current records instead of a snapshot, and writes Smart Segments, Journeys (Triggers), Activities, Contacts, the scores, labels, summaries, drafts, and embedding metadata Autopilot produces, back onto the matching record in Atlassian. The sync is field-level and keyed on a stable identifier, so every output attaches to the exact record it came from and each system keeps its own extra fields untouched.
You decide the direction and the trigger conditions per field: pull records one way to build and keep a retrieval corpus current, push results the other way onto the operational record, or both.
As records change in Atlassian, the synced copy in Autopilot updates within seconds, so retrieval and generation reason over live data rather than a stale export.
Categories, sentiment, priority, or scores produced by Autopilot write back onto the matching record in Atlassian, so the team acts on them in the tool they already use.
Summaries, suggested replies, or generated content from Autopilot sync onto the Atlassian record as a field or note, ready for a person to review before it goes out.
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 | Autopilot objects | How this pairing syncs | |
|---|---|---|---|
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Attachments Files on issues mirrored to paired records where needed. | Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Attachments is specific to Atlassian and Smart Segments to Autopilot — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Workflows and Statuses is specific to Atlassian and Journeys (Triggers) to Autopilot — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Users and Groups is specific to Atlassian and Activities to Autopilot — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | Confluence Pages is specific to Atlassian and Contacts to Autopilot — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Confluence Spaces is specific to Atlassian and Lists to Autopilot — each maps to any object or custom field on the other side. |
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.
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 Autopilot through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Autopilot for changes on an incremental schedule, reading only records changed since the previous pass. No CDC.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Autopilot connection.
Changes in Atlassian or Autopilot instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Autopilot data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Atlassian or Autopilot record.
Track your Atlassian ⇄ Autopilot sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Autopilot.
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.
Authenticate Atlassian and Autopilot with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Atlassian and Autopilot 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Autopilot: authenticate both systems, choose the objects to sync (such as Atlassian's Custom Fields and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Autopilot: The REST API is rate-limited to 100 requests/minute per account and returns HTTP 429 when exceeded; enterprise plans can request a higher ceiling. Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. Stacksync's field mapping accounts for these differences between Atlassian and Autopilot without custom code.
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 Autopilot records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Autopilot connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Autopilot integration in-house.
Yes — Stacksync ships production-grade connectors for both Atlassian and Autopilot. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Autopilot: No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 417 integrations available for Atlassian and Autopilot.