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AI ⇄ ERP

Anthropic to Infor M3 integration — real-time data sync

Keep Anthropic 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 Anthropic and Infor M3

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

Anthropic is a read-only source: Stacksync reads its data in real time and delivers it into Infor M3, so Infor M3 always reflects the current state of Anthropic — without exports, scripts, or schedulers.

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 Anthropic 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 Invites, Message Batches, Models, Usage Report (messages) in Anthropic with Warehouses, Price Lists, Items, Customers in Infor M3 and keeps the two sides in sync in real time. Warehouses, Price Lists, Items, Customers from Infor M3 replicate into Anthropic continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Anthropic 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. Anthropic 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 Snapshot the Models catalog into a config table so applications resolve current model IDs and context windows without hardcoding.
  • 02 Pull the Usage Report into a warehouse to attribute Claude token spend by workspace, model, and API key for internal chargeback.
  • 03 Consolidate M3 transactional data into an analytics database for cross-plant reporting
  • 04 Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock

Common sync patterns

Document extraction round-trip

Purchase orders, invoices, or other documents flow from Infor M3 into Anthropic 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 Anthropic as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.

Derived fields back on the record

Categories, scores, or extracted values produced in Anthropic sync onto the matching record in Infor M3, where operations and finance teams see and act on them without leaving the ERP.

What you can sync between Anthropic 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.

Anthropic objects Infor M3 objects How this pairing syncs
Cost Report Daily USD cost broken down by workspace, model, and cost type from /v1/organizations/cost_report; read-only, polled by date range for chargeback and FinOps reporting. Warehouses Warehouse and facility records scope inventory and order data during mapping. Cost Report is specific to Anthropic and Warehouses to Infor M3 — each maps to any object or custom field on the other side.
Workspaces Organization workspaces from the Admin API (/v1/organizations/workspaces); synced read-mostly so usage, keys, and members can be mapped to the workspace they belong to. Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. Workspaces is specific to Anthropic and Price Lists to Infor M3 — each maps to any object or custom field on the other side.
Organization Members Users in the organization with their role from /v1/organizations/users; read into an IdP or HR database for access auditing rather than written back. Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. Organization Members is specific to Anthropic and Items to Infor M3 — each maps to any object or custom field on the other side.
API Keys Key metadata — name, owning workspace, status, creator — from /v1/organizations/api_keys; the secret value is never returned. Read-only, useful for a security key inventory. Customers Customer master records sync with CRM account records to keep one shared customer file. API Keys is specific to Anthropic and Customers to Infor M3 — each maps to any object or custom field on the other side.
Invites Pending organization invitations from /v1/organizations/invites; read to track who has been invited to the org but has not yet accepted. Suppliers Supplier records align procurement tools with the vendors M3 purchases from. Invites is specific to Anthropic and Suppliers to Infor M3 — each maps to any object or custom field on the other side.
Message Batches Asynchronous batch jobs at /v1/messages/batches; the connector polls processing_status and reads per-request results keyed by custom_id once a batch has ended. Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. Message Batches is specific to Anthropic and Customer Orders to Infor M3 — each maps to any object or custom field on the other side.

How changes propagate between Anthropic 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.

Anthropic Infor M3 Interval-based propagation

DetectionStacksync polls Anthropic for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.

Infor M3 Anthropic 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.

DeliveryAnthropic does not accept inbound record writes, so this direction carries requests rather than records: Anthropic's output flows back as field updates on the originating Infor M3 records.

Rate-limit considerations

  • Anthropic: Messages API limits are per usage tier: requests-per-minute plus input- and output-tokens-per-minute, surfaced in anthropic-ratelimit-* response headers with retry-after on 429. Usage/cost reports recommend polling at most once per minute.
  • Infor M3: Subject to Infor ION API gateway throttling policies.
What ships with Anthropic ⇄ Infor M3

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Anthropic 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 Anthropic or Infor M3 record.

Observability

Monitoring

Track your Anthropic ⇄ 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 Anthropic and Infor M3.

How the Anthropic and Infor M3 connectors work

Anthropic

Integration surface
REST — Messages API at api.anthropic.com/v1 plus the Admin API (/v1/organizations/*) for organization, usage, and cost data
Authentication
API key in the x-api-key header for Messages, Models, Files, and Batches endpoints; the Admin API requires a separate Admin API key (sk-ant-admin...) with organization-admin permission. Every request also sends an anthropic-version header.
Change detection
Polling. Usage and cost reports are queried by time bucket (1m/1h/1d) over a date range; list endpoints paginate with has_more/next_page (or after_id). No general-purpose data-change webhooks (webhooks exist only for Managed Agents session state).
Capabilities
read
Rate limits
Messages API limits are per usage tier: requests-per-minute plus input- and output-tokens-per-minute, surfaced in anthropic-ratelimit-* response headers with retry-after on 429. Usage/cost reports recommend polling at most once per minute.

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 Anthropic 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 Anthropic 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
    Anthropic connected
    Infor M3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Anthropic 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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 380 integrations available for Anthropic and Infor M3.

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