Employment Hero + Make

Employment Hero + Make Integration - Save 8+ hours/week Every Week

From employees to scenarios, our custom Employment Hero to Make integration maps your data precisely. Harvard-educated experts handle the build so your team stays focused on growth.

8+ hours/week

Saved weekly

98%

Client retention

100%

GST accuracy

One-way

Sync direction

Book Free Assessment View All Integrations

Why Connect Employment Hero to Make?

No single source of truth when employees live in two disconnected tools, so staff second-guess which system has the correct information

New team members take longer to onboard because they must learn manual workarounds to keep Employment Hero and Make aligned

Make adds complexity: steeper learning curve than Zapier, particularly for non-technical users unfamiliar with the concepts of routers, iterators, and data mapping

Manually copying data between Employment Hero and Make wastes hours every week that could be spent on revenue-generating work

Employment Hero uses a REST API while Make uses REST + Webhook, requiring careful middleware to translate data formats between the two platforms

Online orders in Employment Hero and in-store inventory in Make are never in sync, frustrating customers

Employment Hero limitations compound the integration challenge: the platform has grown rapidly through acquisition and feature addition, which sometimes shows in inconsistent UX between modules

How We Help

Australian mid-market businesses lose hours every week copying employees and payroll between Employment Hero and Make. Clever Ops builds a custom integration that automates this entire workflow, so your team can redirect that time to higher-value tasks. On the technical side, Employment Hero uses a REST API with OAuth authentication, which our team handles as part of the build.

Amplify Employment Hero Strengths

Employment Hero excels because combines HR, payroll, and employee benefits in a single Australian-built platform, reducing the need for separate systems. Connecting it to Make ensures that advantage flows through your entire workflow rather than staying siloed in one tool.

Real-Time Visibility Across Teams

When a record updates in Employment Hero, every team member working in Make sees the change instantly. No lag, no stale dashboards, no conflicting reports.

Unlock Make Value

Make stands out because visual scenario builder with a node-based interface is more intuitive for complex multi-step workflows than Zapier linear approach. Integrating it with Employment Hero means your team gets this benefit with complete, accurate data flowing in automatically.

Custom-Built for Your Workflow

Unlike generic connectors, we build integrations tailored to how your business actually uses Employment Hero and Make. Custom field mappings, business rules, and error handling included.

Employment Hero to Make Use Cases

Automated error handling and retry for Employment Hero/Make sync

When a sync between Employment Hero and Make fails due to a rate limit, network issue, or validation error, the integration retries automatically with exponential backoff. Your team is alerted only when intervention is genuinely needed.

Data Mapping

How data flows between Employment Hero and Make

Employment Hero	→	Make	Notes
Employment Hero Timestamps	→	Make Audit Log	Created and modified timestamps preserved for sync conflict resolution and compliance
Employment Hero Record IDs	→	Make External References	Cross-reference identifiers stored on both records for bidirectional lookups and deduplication
Employment Hero Owner/Assignee	→	Make Owner/Assignee	Record ownership mapped between platforms using email address as the matching key
Employment Hero Employees	→	Make Custom Fields	Employees data from Employment Hero stored in Make custom fields for reference
Employment Hero Payroll	→	Make Custom Fields	Payroll data from Employment Hero stored in Make custom fields for reference
Employment Hero Leave	→	Make Custom Fields	Leave data from Employment Hero stored in Make custom fields for reference
Employment Hero Policies	→	Make Custom Fields	Policies data from Employment Hero stored in Make custom fields for reference
Employment Hero Onboarding	→	Make Custom Fields	Onboarding data from Employment Hero stored in Make custom fields for reference

Employment Hero + Make Integration FAQ

Most Employment Hero to Make integrations are completed within 2 weeks. We start with a discovery session to understand your specific workflow, then build and test the integration. Complex setups with custom business logic may take up to 4-8 weeks.

Our integrations include retry logic and error queuing. If Make is temporarily down, changes are queued and replayed once the system recovers. You will receive alerts for any sync failures that need attention. No data is lost during outages.

The most common data objects synced between Employment Hero and Make include employees, payroll, leave. We map each data type to its counterpart in the target system, including custom fields, metadata, and relationship data. The exact scope is tailored to your workflow during the discovery session.

We use a combination of direct REST API connections and automation platforms like Make, Zapier, or n8n, depending on your requirements and budget. For complex workflows, we build custom middleware. The right approach depends on your volume, sync frequency, and business rules.

We map accounting & finance data like employees and payroll from Employment Hero to the corresponding automation structures in Make. Our team handles data transformation, validation, and conflict resolution between the two system types.

Yes. We have built integrations for Retail & E-commerce businesses that rely on both Employment Hero and Make. The integration is customised to your industry-specific workflows, data structures, and compliance requirements. Book Free Assessment to discuss your specific needs.

Yes. Employment Hero supports webhooks for instant event notifications, and Make also provides webhook support for bidirectional triggers. Changes in Employment Hero are reflected in Make within seconds. For high-volume scenarios, we implement queuing to handle peak loads without data loss.