Stop Copying Data Between Employment Hero and Saasu - Automate It
Sync data between Employment Hero and Saasu automatically. Eliminate manual data entry, reduce errors, and save 8+ hours/week with a custom integration built by Harvard-educated automation experts.
Why Connect Employment Hero to Saasu?
Manually copying data between Employment Hero and Saasu wastes hours every week that could be spent on revenue-generating work
New team members take longer to onboard because they must learn manual workarounds to keep Employment Hero and Saasu aligned
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
Reporting across Employment Hero and Saasu requires painful manual exports and spreadsheet merges
Online orders in Employment Hero and in-store inventory in Saasu are never in sync, frustrating customers
Client engagement details in Employment Hero and time-tracking data in Saasu do not align, making billing inaccurate
Saasu adds complexity: significantly smaller user base and integration ecosystem than Xero and MYOB, limiting the range of third-party apps that connect natively
No single source of truth when employees live in two disconnected tools, so staff second-guess which system has the correct information
How We Help
For Retail & E-commerce and Professional Services businesses across Australia, the disconnect between Employment Hero and Saasu is a daily frustration. Our custom integration bridges your accounting & finance and accounting & finance systems, ensuring employees and payroll flow seamlessly without manual intervention. On the technical side, Employment Hero uses a REST API with OAuth authentication, and Saasu authenticates via OAuth, which our team handles as part of the build.
Unlock Saasu Value
Saasu stands out because australian-built cloud accounting software designed specifically for the local market with BAS, GST, and STP compliance built in. 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 Saasu. Custom field mappings, business rules, and error handling included.
Built-In Error Handling and Alerts
Our integrations include automatic retries, error queuing, and real-time notifications. If something fails between Employment Hero and Saasu, your team knows immediately and the system self-recovers where possible.
Scalable Without Extra Headcount
As your data volume grows, the integration scales with you. No need to hire additional admin staff to keep Employment Hero and Saasu in sync, even as your business doubles.
Employment Hero to Saasu Use Cases
Automated error handling and retry for Employment Hero/Saasu sync
When a sync between Employment Hero and Saasu 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 Saasu
| Employment Hero | → | Saasu | Notes |
|---|---|---|---|
| Employment Hero Record IDs | → | Saasu External References | Cross-reference identifiers stored on both records for bidirectional lookups and deduplication |
| Employment Hero Timestamps | → | Saasu Audit Log | Created and modified timestamps preserved for sync conflict resolution and compliance |
| Employment Hero Owner/Assignee | → | Saasu Owner/Assignee | Record ownership mapped between platforms using email address as the matching key |
| Employment Hero Policies | → | Saasu Custom Fields | Policies data from Employment Hero stored in Saasu custom fields for reference |
| Employment Hero Onboarding | → | Saasu Custom Fields | Onboarding data from Employment Hero stored in Saasu custom fields for reference |
| Employment Hero Employees | → | Saasu Custom Fields | Employees data from Employment Hero stored in Saasu custom fields for reference |
| Employment Hero Leave | → | Saasu Custom Fields | Leave data from Employment Hero stored in Saasu custom fields for reference |
| Employment Hero Payroll | → | Saasu Payroll | Payroll records synchronised when created or updated in either platform |
Employment Hero + Saasu Integration FAQ
Our integrations include retry logic and error queuing. If Saasu 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.
Absolutely. Custom field mapping is a core part of every integration we build. Whether it is custom properties in Employment Hero or user-defined fields in Saasu, we map them precisely to your requirements. We can also transform data formats, apply business rules, and handle conditional mappings.
Yes. We routinely build conditional logic, field transformations, data enrichment, and approval workflows into integrations. For example, only sync employees that meet certain criteria, or transform data formats before writing to Saasu. Your business rules drive the integration design.
Yes, every integration includes 3 months of post-launch support. We monitor sync health, troubleshoot issues, and make adjustments as your workflow evolves. Ongoing maintenance plans are available for businesses that want continuous optimisation.
Yes. We have built integrations for Retail & E-commerce businesses that rely on both Employment Hero and Saasu. The integration is customised to your industry-specific workflows, data structures, and compliance requirements. Book Free Assessment to discuss your specific needs.
Absolutely. We design integrations with growth in mind, whether you are syncing 100 records or 100,000. Our architecture handles rate limiting, pagination, and queuing to ensure reliable performance at any scale.
Yes. Employment Hero supports webhooks for instant event notifications. Changes in Employment Hero are reflected in Saasu within seconds. For high-volume scenarios, we implement queuing to handle peak loads without data loss.
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