Inzenius Case Study – Mayne Capital

In business, you rarely meet up with the type of people like Peter Mayne. I first met Peter in Dubai whilst working on a health project for Monash Health. Peter was invaluable in introducing me and my team to many local UAE business leaders, opening the doors to them and their teams.

Back in Australia, we maintained contact with Peter, who helped us receive our R&D project approval in record time. 

Russell Bode

Director of Innovation:   

Inzenius & Third Millennium Management Pty Ltd
Director of Innovation: Russell Bode

About the Company

Third Millennium Management is an innovation-focused company that develops advanced technology and digital solutions to streamline workforce management and operational performance. The company specialises in payroll automation, award compliance, and real-time processing systems that reduce costs and ensure regulatory accuracy.

Challenge

In FY24, Third Millennium set out to claim the Australian Government’s Research & Development Tax Incentive (RDTI). Their project, the Inzenius Award Interpretation Automation Tool, aimed to create a high-performance payroll engine capable of interpreting Australia’s highly complex award system in real time.

The technical challenge was formidable:

  • Australia’s industrial awards contain 30,000+ unique pay conditions that interact across shifts, locations, grades, and leave entitlements.
  • Existing payroll platforms struggled with multi-shift continuity, retroactive adjustments, and Fair Work compliance.
  • No proven system existed to dynamically ingest Fair Work Ombudsman updates and process thousands of conditional rates at scale.

Third Millennium needed expert support to frame these uncertainties as eligible R&D activities and prepare a compliant, persuasive application.

Approach

Mayne Capital, led by Peter Mayne, guided Third Millennium through the full AusIndustry and ATO process by:

  • Translating technical experimentation into a structured R&D hypothesis: proving that a scalable, rule-based payroll engine could handle 30,000+ conditional rules with >99.9% accuracy.
  • Mapping the project into core and supporting activities, including NLP-driven award parsing, stored procedure automation, and error detection routines.
  • Documenting systematic progression of work, from hypothesis through multi-phase testing (data ingestion, rules engine, integration, scalability, and audit validation).
  • Establishing measurable benchmarks such as accuracy (>99.9%), processing speed (1,000 employees <10 minutes), error reduction (>99.9%), and full compliance with audit standards.
  • Preparing the AusIndustry Application and the ATO RDTI Summary with detailed evidence of technical uncertainties, experiments, and results.

Outcome

  • Successful AusIndustry Registration of R&D activities for FY24.
  • ATO RDTI Summary accepted without issue, securing the company’s entitlement to claim R&D offsets.
  • Validation of a project that demonstrated breakthrough results:
    • Payroll accuracy exceeding 98% across complex award conditions.
    • Significant reductions in error rates and processing time.
    • Compliance frameworks validated by audit-ready logs and testing protocols.

Client Feedback

“Peter quickly grasped the technical and commercial aspects of our innovation and guided us through the RDTI process with clarity and confidence. His expertise ensured our claim was successful and positioned us strongly for future R&D projects.”
— Russell Bode, Director of Innovation, Third Millennium Management