Two-way sync
Changes in Autopilot or Slack instantly reflect in both systems. No stale data, no manual imports.
Keep Autopilot 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.
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 Slack, 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 Slack'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 Channels, Messages, Threads, Users from Slack 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 Slack. 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.
Summaries, suggested replies, or generated content from Autopilot sync onto the Slack record as a field or note, ready for a person to review before it goes out.
Because each item is matched on a stable identifier, an Autopilot result always attaches to the record in Slack it was computed from, with no manual reconciliation.
Records, tickets, messages, or events from Slack sync into Autopilot so they can be indexed, embedded, or retrieved as context, without a hand-built extraction job.
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 | Slack objects | How this pairing syncs | |
|---|---|---|---|
| Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Channels Conversations (public, private, DMs) that messages are read from and posted to. | Journeys (Triggers) is specific to Autopilot and Channels to Slack — 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. | Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods. | Activities is specific to Autopilot and Messages to Slack — 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. | Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. | Contacts is specific to Autopilot and Threads to Slack — each maps to any object or custom field on the other side. | |
| Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Users Workspace members with profile fields, synced against HR systems and identity providers. | Lists is specific to Autopilot and Users to Slack — 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. | User groups Handles like @support that map to teams in external systems. | Custom Fields is specific to Autopilot and User groups to Slack — 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. | Files Uploads attached to messages, retrievable for archiving. | Smart Segments is specific to Autopilot and Files to Slack — 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.
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 Slack through its API, with automatic retries and rate-limit backoff.
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 Autopilot through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Slack connection.
Changes in Autopilot or Slack instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Autopilot or Slack data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Autopilot or Slack record.
Track your Autopilot ⇄ Slack sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Autopilot and Slack.
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 Autopilot 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.
Pick the Autopilot 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.
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 Autopilot and Slack: authenticate both systems, choose the objects to sync (such as Autopilot's Journeys (Triggers) and Activities), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and Slack connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Slack integration in-house.
Yes — Stacksync ships production-grade connectors for both Autopilot and Slack. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 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.
On the Autopilot side: Smart Segments, Journeys (Triggers), Activities, Contacts, plus custom fields where Autopilot exposes them. On the Slack side: Channels, Messages, Threads, Users. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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 426 integrations available for Autopilot and Slack.