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AI ⇄ ERP

Autopilot to Infor M3 integration — real-time, two-way sync

Keep Autopilot and Infor M3 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Autopilot and Infor M3

Ground Autopilot on the customers, suppliers, items, and transactions that live in Infor M3, and write the classifications, scores, and extracted fields Autopilot produces back onto those records in real time.

An AI system does not keep customers, orders, or invoices the way an ERP does. What it keeps is derived: the vectors and metadata in a store, or the classifications, extracted fields, and generated text a model produces over records it was handed. Infor M3 is where those source records actually live, across finance, operations, procurement, and inventory, and that data usually stays behind a strict API with many record types. Whatever Autopilot produces, whether a category, a risk flag, an extracted value, or an embedding, only earns its keep when it lands back on the record in Infor M3 where the business is run.

Stacksync connects Custom Fields, Smart Segments, Journeys (Triggers), Activities in Autopilot with Invoices, Warehouses, Price Lists, Items in Infor M3 and keeps the two sides in sync in real time. Invoices, Warehouses, Price Lists, Items from Infor M3 replicate into Autopilot continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Autopilot generates sync back onto the matching record in Infor M3. Mapping is field-level, matching is on identifiers you choose, and Stacksync handles the ERP's API limits and schema drift, so there is no extraction pipeline to build or babysit.

Because every AI-side item carries the key of the record it came from, results always resolve to the right customer, supplier, or transaction. Autopilot reasons over the business as it actually is within seconds of a change, and the people running operations act on model output where they already work, without exporting a file or logging into a second system.

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 Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains
  • 04 Keep supplier and purchase order data aligned between M3 and procurement tools

Common sync patterns

One consistent identity across both systems

A customer, supplier, item, or transaction in Infor M3 maps to the corresponding entry in Autopilot, so every AI result attaches to the right entity on both sides.

Document extraction round-trip

Purchase orders, invoices, or other documents flow from Infor M3 into Autopilot for parsing or classification, and the structured result returns to the record it came from.

ERP records as live context

Customers, suppliers, items, and transactions from Infor M3 replicate into Autopilot as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.

What you can sync between Autopilot and Infor M3

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 Infor M3 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. Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. Journeys (Triggers) is specific to Autopilot and Customer Orders to Infor M3 — 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. Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. Activities is specific to Autopilot and Purchase Orders to Infor M3 — 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. Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. Contacts is specific to Autopilot and Manufacturing Orders to Infor M3 — 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. Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. Lists is specific to Autopilot and Inventory Balances to Infor M3 — 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. Invoices Billing documents flow to finance and CRM tools for AR visibility. Custom Fields is specific to Autopilot and Invoices to Infor M3 — 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. Warehouses Warehouse and facility records scope inventory and order data during mapping. Smart Segments is specific to Autopilot and Warehouses to Infor M3 — each maps to any object or custom field on the other side.

How changes propagate between Autopilot and Infor M3

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 Infor M3 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 Infor M3 through its API, with automatic retries and rate-limit backoff.

Infor M3 Autopilot Sub-second propagation

DetectionInfor M3 notifies Stacksync of record changes through webhook events. Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints.

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.
  • Infor M3: Subject to Infor ION API gateway throttling policies.
What ships with Autopilot ⇄ Infor M3

Connect Autopilot and Infor M3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Infor M3 connection.

Real-time

Two-way sync

Changes in Autopilot or Infor M3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Autopilot or Infor M3 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 Infor M3 record.

Observability

Monitoring

Track your Autopilot ⇄ Infor M3 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 Infor M3.

How the Autopilot and Infor M3 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.
Autopilot setup guide

Infor M3

Integration surface
REST API (M3 API programs exposed through the Infor ION API gateway)
Authentication
OAuth 2.0 via Infor OS / ION API authorization
Change detection
Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
Capabilities
read · write · webhooks
Rate limits
Subject to Infor ION API gateway throttling policies
How it works

How to connect Autopilot to Infor M3 — 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 Autopilot and Infor M3 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
    Autopilot connected
    Infor M3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Autopilot and Infor M3 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 · Autopilot ⇄ Infor M3
    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
    Autopilot Infor M3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Autopilot and Infor M3 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 478 integrations available for Autopilot and Infor M3.

Popular · 6 of 478
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