CASE STUDY
Turning a Complex Risk Model into a Scalable Traffic Safety Platform
Overview
From manual risk assessments to a system-driven safety platform.
Executive Summary
Parallaxx is a New Zealand traffic management provider responsible for delivering safety-critical risk assessments across temporary traffic management projects. Their work depends on accurate risk assessments to keep workers and the public safe while meeting regulatory requirements.
Previously, Parallaxx used manual, document-based processes that were slow and difficult to audit. This created significant operational bottlenecks and increased the risk of compliance failures.
In Phase 1, the Shore360 Agency’s AI team replaced these manual methods with a production-ready platform that automates the risk model for daily use. This system ensures every assessment is fast, consistent, and easy to audit, giving leadership the confidence to scale operations safely.
About the Client: Parallaxx
Parallaxx specialises in temporary traffic management, delivering safe, compliant, and efficient roadwork solutions. Each project involves complex interactions between vehicles, pedestrians, and workers, requiring precise hazard identification and control measures.
Risk assessment is central to Parallaxx’s operations. Accurate, consistent, and structured decision-making ensures safety, reduces liability, and maintains regulatory compliance. Without reliable processes, inconsistencies could lead to operational errors, compromised safety, and reduced client confidence.
The Business Challenge: When Manual Risk Assessments Stop Scaling
Before the platform, Parallaxx’s analysts relied on spreadsheets and document-based workflows to apply the risk model. Each assessment required manual interpretation, cross-checking, and judgment calls, resulting in:
- Inconsistent outputs across projects and analysts
- Slow reviews, with added effort to ensure accuracy
- Difficult auditing, making compliance checks time-consuming
- Limited scalability, as adding projects increased operational risk
The business risk was clear: manual processes could not reliably support growth while maintaining safety, compliance, and client confidence.
Impact of Phase 1: Safer, More Reliable Assessments
Phase 1 addressed Parallaxx’s challenges by turning its risk model into a working platform that directly supports day-to-day safety decisions. The model is used to determine which hazards are present, which controls are required, how those controls interact, and whether risks have been reduced to an acceptable level before work proceeds.
Analysts now enter site details, traffic conditions, hazards, and control measures into the system. The platform applies the risk model to:
- Evaluate whether proposed controls adequately reduce risk
- Identify interactions between hazards and controls that may introduce new risks
- Surface secondary risks that require additional mitigation
- Flag scenarios outside the model’s scope for deliberate expert review
This ensures assessments are not only thorough, but also consistent, defensible, and aligned with how the business manages safety across all projects.
| Before Phase 1 | After Phase 1 |
| Risk assessments were manual, document-based, and heavily reliant on individual interpretation. | Assessments are system-supported, applying the same risk logic consistently across every project. |
| Outcomes varied between analysts, making results harder to compare or defend. | Outputs are consistent, repeatable, and auditable, strengthening confidence in decisions. |
| Risk interactions were identified manually, increasing the chance of oversight. | The system highlights risk interactions automatically, improving decision quality. |
| Compliance reviews required manual checks and rework. | Assessments are transparent and easy to review for compliance and client assurance. |
| Taking on more projects increased operational risk. | The platform enables safe scaling across multiple sites and more complex scenarios without compromising safety. |
Business Outcomes
As a result of Phase 1, Parallaxx achieved:
- Safer decision-making through consistent application of risk logic
- More reliable assessments across all projects and analysts
- Stronger compliance confidence through structured, auditable outputs
- Faster delivery by reducing manual cross-checking and rework
- Operational readiness to scale without compromising safety standards
Phase 1 created a foundation for future improvements, including guidance tools and enhanced efficiency, without compromising safety or decision ownership.
Moving Forward: Scaling Smarter Risk Management
With Phase 1 complete, Parallaxx is set to take the next steps in operationalising their risk model:
- Semi-automation: The platform will begin guiding analysts, flagging potential hazards, and suggesting controls while leaving expert judgment intact.
- Risk reduced to ALARP (As Low As Reasonably Practicable): Future enhancements will help ensure every project meets the highest safety standards, with risks systematically reduced to acceptable levels.
- Faster, more consistent assessments: Analysts will be able to complete assessments more efficiently, focusing on critical decisions rather than manual checks.
Phase 1 established a reliable baseline; the next phases will layer smarter guidance and partial automation to make risk management safer, faster, and more consistent across the business.
Client's Perspective: Leadership on Phase 1 Success
“The discoveries made during Phase 1 helped refine the outputs into a meaningful, actionable risk register. With this foundation, we now have consistent, reliable assessments across all projects, giving our team confidence to scale operations safely.”
— Dave Tilton, Chief Executive, Parallaxx
Why This Matters for Your Business
Many organisations face challenges with complex rules, decision frameworks, or models that are difficult to apply consistently. Operationalising these processes into a system can:
- Improve consistency and decision-making speed
- Reduce operational risk and manual effort
- Enable scalable service delivery without compromising quality
- Provide a foundation for future automation or guidance tools
How Our AI Team Can Help You
AI Solutions Built for Real Business Needs
With practical AI tools and a team that understands your workflows, automating processes, improving decision-making, and building smarter systems becomes simple and scalable.
