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Business productivity ⇄ AI

Atlassian to Autopilot integration — real-time, two-way sync

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.

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  • 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 Atlassian and Autopilot

Feed Atlassian's records into Autopilot for indexing, classification, and generation, then land the model's output back on those same records, in real time and in both directions.

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.

Common use cases

  • 01 Add contacts to a Journey from a database event or CRM stage change to start automated onboarding or nurture sequences.
  • 02 Mirror List and Smart Segment membership into a warehouse to power attribution and audience analytics alongside other sources.
  • 03 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • 04 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.

Common sync patterns

Keep the model's knowledge current

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.

Where Autopilot classifies or scores: results land on the record

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.

Where Autopilot generates text: drafts and summaries where the work happens

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.

What you can sync between Atlassian and Autopilot

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.

How changes propagate between Atlassian and Autopilot

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 Autopilot 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 Autopilot through its API, with automatic retries and rate-limit backoff.

Autopilot Atlassian Interval-based propagation

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.

Rate-limit considerations

  • Autopilot: The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
What ships with Atlassian ⇄ Autopilot

Connect Atlassian and Autopilot for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Atlassian or Autopilot instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Autopilot 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 Autopilot record.

Observability

Monitoring

Track your Atlassian ⇄ Autopilot 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 Autopilot.

How the Atlassian and Autopilot 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

Autopilot

Integration surface
REST API (Autopilot v1); Autopilot rebranded to Ortto in 2021 and the newer Ortto API co-exists with the legacy Autopilot endpoints
Authentication
Per-account API key sent in the autopilotapikey request header (generated in account settings); requests use Content-Type application/json against https://api2.autopilothq.com/v1/
Change detection
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.
Capabilities
read · write
Rate limits
The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
Autopilot setup guide
How it works

How to connect Atlassian to Autopilot — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Atlassian connected
    Autopilot connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Atlassian ⇄ Autopilot
    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
    Atlassian Autopilot
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Atlassian and Autopilot 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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

Every pair below is a real-time, two-way sync. Search all 417 integrations available for Atlassian and Autopilot.

Popular · 8 of 417
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