Real-time
Two-way sync
Changes in Autopilot or Braze instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ Business productivity
Autopilot to Braze integration — real-time, two-way sync
Keep Autopilot and Braze 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
- 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 Autopilot and Braze
Feed Braze'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 Braze, 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 Braze'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 Segments, Campaigns, Canvases, Subscription Groups from Braze 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 Braze. 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 Stream Activities into a warehouse so opens, clicks, and journey steps sit next to product and revenue data for lifecycle reporting.
- 02 Upsert Contacts from a CRM or product database into Autopilot so new signups and profile changes flow into email and SMS journeys without manual CSV imports.
- 03 Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
- 04 Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
Common sync patterns
Build a retrieval corpus from Braze's records
Records, tickets, messages, or events from Braze sync into Autopilot so they can be indexed, embedded, or retrieved as context, without a hand-built extraction job.
Keep the model's knowledge current
As records change in Braze, 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 Braze, so the team acts on them in the tool they already use.
What you can sync between Autopilot and Braze
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.
| Autopilot objects | Braze objects | How this pairing syncs | |
|---|---|---|---|
| Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | Lists is specific to Autopilot and Users to Braze — each maps to any object or custom field on the other side. | |
| Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. | Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | Custom Fields is specific to Autopilot and Custom Attributes to Braze — each maps to any object or custom field on the other side. | |
| Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | Smart Segments is specific to Autopilot and Custom Events to Braze — each maps to any object or custom field on the other side. | |
| Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Purchases Transaction records logged against profiles for revenue-based targeting. | Journeys (Triggers) is specific to Autopilot and Purchases to Braze — each maps to any object or custom field on the other side. | |
| Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Segments Audience definitions read for membership export and campaign targeting. | Activities is specific to Autopilot and Segments to Braze — each maps to any object or custom field on the other side. | |
| Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | Campaigns Message sends whose metadata and analytics are read for reporting. | Contacts is specific to Autopilot and Campaigns to Braze — each maps to any object or custom field on the other side. |
How changes propagate between Autopilot and Braze
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.
Autopilot Braze 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 Braze through its API, with automatic retries and rate-limit backoff.
Braze Autopilot Interval-based propagation
DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.
DeliveryEach detected change is written to Autopilot 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.
- Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
What ships with Autopilot ⇄ Braze
Connect Autopilot and Braze for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Braze connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Autopilot or Braze 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 Autopilot or Braze record.
Observability
Monitoring
Track your Autopilot ⇄ Braze sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Autopilot and Braze.
How the Autopilot and Braze connectors work
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.
Braze
- Integration surface
- REST API
- Authentication
- REST API keys scoped to specific endpoints, issued per workspace
- Change detection
- Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
- Capabilities
- read · write
- Rate limits
- Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
How it works
How to connect Autopilot to Braze — 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 Autopilot and Braze with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Autopilot
connected
Braze
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Autopilot and Braze 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 · Autopilot ⇄ BrazeCustomers 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.
Autopilot BrazeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Autopilot and Braze integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Autopilot and Braze: authenticate both systems, choose the objects to sync (such as Autopilot's Lists and Custom Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Autopilot: Contacts are upserted by email, and custom fields are user-defined, so field keys must be discovered before mapping them to destination columns. Braze: The users/track endpoint accepts attributes, custom events, and purchases for many users in a single batched request, which is the standard write path for syncs. Stacksync's field mapping accounts for these differences between Autopilot and Braze 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 Autopilot and Braze 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 Autopilot and Braze connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Braze integration in-house.
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Yes — Stacksync ships production-grade connectors for both Autopilot and Braze. 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 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. On Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. 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
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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