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ERP ⇄ Human resources

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

Keep Infor M3 and Lever 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 Infor M3 and Lever

Sync the workers, org structure, and cost centers that Infor M3 and Lever share in real time, so the people Lever manages stay current in the system that runs finance and operations.

Lever is the system of record for people: who was hired, which department and location they sit in, who they report to, and how they are paid. Infor M3 runs finance and operations, and much of what it does depends on that same information, from booking labor cost to approving an expense report to staffing a project. Where the two are bridged by re-keying or an overnight file, each side spends the day out of step, with new hires missing from the systems they need and leavers still active where they should not be.

Stacksync syncs Price Lists, Items, Customers, Suppliers in Infor M3 with Users, Stages, Feedback, Interviews in Lever field by field, in real time, and in both directions. You decide which system owns which fields, so the people side stays authoritative for worker data while Infor M3 keeps its own accounting and operational detail, and every change made in one is reflected in the other within seconds instead of at the next batch run.

Common use cases

  • 01 Consolidate M3 transactional data into an analytics database for cross-plant reporting
  • 02 Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock
  • 03 Write enriched Sources, Tags, and Contact data back onto Opportunities from an outbound sourcing pipeline.
  • 04 Two-way sync Opportunities and their Stages between Lever and a Postgres database so recruiting ops and analysts query the pipeline in SQL while recruiters keep working in Lever.

Common sync patterns

Reporting lines drive approvals

Manager and reporting-hierarchy changes in Lever keep expense and purchase approval chains in Infor M3 pointed at the right people.

Where Lever runs payroll: labor cost in the books

Pay and compensation data from Lever posts into Infor M3 as labor cost, so finance sees workforce spend without re-entering it by hand.

Where Lever is the worker system of record: one employee master

When a worker is hired, moved, or offboarded in Lever, the matching employee record in Infor M3 is created, updated, or deactivated, so the business system reflects the workforce as it actually is.

What you can sync between Infor M3 and Lever

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.

Infor M3 objects Lever objects How this pairing syncs
Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. Notes and Contacts Free-text Notes on Opportunities plus the underlying Contact (person) that dedupes multiple Opportunities; notes are posted via POST /opportunities/:id/notes and contact-level tags, sources, and links can be added back for attribution. Inventory Balances is specific to Infor M3 and Notes and Contacts to Lever — each maps to any object or custom field on the other side.
Invoices Billing documents flow to finance and CRM tools for AR visibility. Opportunities The core pipeline record for a candidate applying to a role; replaced the deprecated Candidates endpoint. Created via POST /opportunities and updated (stage, archive, links, tags, sources, files) through the API, and synced two-way with a database or HRIS. Invoices is specific to Infor M3 and Opportunities to Lever — each maps to any object or custom field on the other side.
Warehouses Warehouse and facility records scope inventory and order data during mapping. Postings Job posting records with categories, apply URLs, workplace type, and requisition codes. Can be created via POST /postings and read into a warehouse for open-role reporting. Warehouses is specific to Infor M3 and Postings to Lever — each maps to any object or custom field on the other side.
Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. Requisitions Headcount/requisition records with custom requisition fields, tied to Postings; read via GET /requisitions and synced to an HRIS to reconcile approved headcount against open roles. Price Lists is specific to Infor M3 and Requisitions to Lever — each maps to any object or custom field on the other side.
Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. Offers Offer records attached to an Opportunity with status and offer-form fields; exposed read-only through GET /opportunities/:id/offers, so they sync outbound to an HRIS or onboarding system when a candidate reaches the offer stage. Items is specific to Infor M3 and Offers to Lever — each maps to any object or custom field on the other side.
Customers Customer master records sync with CRM account records to keep one shared customer file. Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. Customers is specific to Infor M3 and Users to Lever — each maps to any object or custom field on the other side.

How changes propagate between Infor M3 and Lever

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.

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

Lever Infor M3 Sub-second propagation

DetectionLever notifies Stacksync of record changes through webhook events. Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired,.

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

Rate-limit considerations

  • Infor M3: Subject to Infor ION API gateway throttling policies.
  • Lever: 10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
What ships with Infor M3 ⇄ Lever

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Infor M3 ⇄ Lever sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Infor M3 and Lever.

How the Infor M3 and Lever connectors work

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

Lever

Integration surface
REST Data API (api.lever.co/v1)
Authentication
API key over HTTP Basic auth (key as username, blank password) for internal integrations, or OAuth 2.0 with 1-hour access tokens for partner integrations (auth.lever.co)
Change detection
Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired, interview created/updated/deleted), plus incremental polling via created_at and updated_at range filters on Opportunities
Capabilities
read · write · webhooks
Rate limits
10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
Lever setup guide
How it works

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

    Choose tables

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

Infor M3 and Lever 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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→ 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 505 integrations available for Infor M3 and Lever.

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