Two-way sync
Changes in Autopilot or Gladly instantly reflect in both systems. No stale data, no manual imports.
Keep Autopilot and Gladly 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 turns data into something a revenue team can act on: scores, classifications, summaries, and embeddings. But the customers those results describe live in Gladly, where reps and marketers actually work. Intelligence that stays inside Autopilot rarely reaches the record where a decision gets made, and Autopilot is only as sharp as the data it sees, which is also held in Gladly.
Stacksync connects Custom Fields, Smart Segments, Journeys (Triggers), Activities in Autopilot to Topics, Tasks, Customer profiles, Conversations in Gladly with bi-directional, real-time sync. Records and fields from Gladly flow into Autopilot as the material it scores, indexes, or enriches, and the values Autopilot produces flow back onto the matching contact, account, or deal in Gladly, field by field, within seconds. There is no batch export in the middle and no glue code to maintain.
Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Gladly stays the record of the customer while Autopilot stays where the computation happens.
Enriched attributes from Autopilot populate contact and company fields in Gladly, and refreshes keep them from going stale.
Lead scores, fit ratings, or priority computed in Autopilot land as fields on the matching contact or account in Gladly, so reps sort and act on them without leaving the CRM.
Categories, sentiment, or intent produced in Autopilot attach to the right contact, account, or deal in Gladly, keeping segmentation current as new data arrives.
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 | Gladly objects | How this pairing syncs | |
|---|---|---|---|
| Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Activities is specific to Autopilot and Conversation items to Gladly — 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. | Agents User records used to attribute work in CX analytics. | Contacts is specific to Autopilot and Agents to Gladly — 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. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Lists is specific to Autopilot and Topics to Gladly — 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. | Tasks Follow-up work items created from external triggers or synced for workload reporting. | Custom Fields is specific to Autopilot and Tasks to Gladly — 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. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Smart Segments is specific to Autopilot and Customer profiles to Gladly — 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. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Journeys (Triggers) is specific to Autopilot and Conversations to Gladly — 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 Gladly through its API, with automatic retries and rate-limit backoff.
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
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–Gladly connection.
Changes in Autopilot or Gladly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Autopilot or Gladly 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 Gladly record.
Track your Autopilot ⇄ Gladly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Autopilot and Gladly.
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 Gladly 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 Gladly 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 Gladly: authenticate both systems, choose the objects to sync (such as Autopilot's Activities and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Autopilot side: Custom Fields, Smart Segments, Journeys (Triggers), Activities, plus custom fields where Autopilot exposes them. On the Gladly side: Topics, Tasks, Customer profiles, Conversations. 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.
Common patterns for Autopilot and Gladly: Where Autopilot enriches people or companies: fields fill in; Where Autopilot scores or ranks records: results on the CRM record; Where Autopilot classifies or tags: labels sync onto the record. Enriched attributes from Autopilot populate contact and company fields in Gladly, and refreshes keep them from going stale.
Autopilot: 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/. Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Stacksync manages authentication, retries, and rate limits on both sides.
Autopilot: There is no change-data-capture: incremental sync polls /contacts with bookmark cursor pagination on updated timestamps, and bulk writes are done by passing an array to the contact upsert endpoint. Gladly: Gladly's model is customer-centric rather than ticket-centric: each customer has one continuous conversation timeline, and channel interactions attach as conversation items. Stacksync's field mapping accounts for these differences between Autopilot and Gladly without custom code.
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.
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Every pair below is a real-time, two-way sync. Search all 384 integrations available for Autopilot and Gladly.