ClickCease
case study
Superannuation
Brighter Super

BRIGHTER SUPER FUTUREPROOFS COMPLIANCE OPERATIONS WITH SCALABLE, CLOUD-NATIVE NAPIER AI PLATFORM

Summary

Brighter Super, a large Queensland-based superannuation fund, upgraded its anti-money laundering compliance capabilities with the Napier AI Continuum platform. After previously using an on-premises screening and transaction monitoring solution, Brighter Super transitioned to Napier AI’s hosted environment, ensuring scalable operations that could support industry consolidation and internal transformation. The move enabled streamlined post-merger integration, smooth migration to Kubernetes infrastructure, and improved usability that empowered a changing team. With greater rule refinement and efficiency gains, Brighter Super is well positioned to respond to ongoing regulatory reforms and future growth.

“Napier AI has been instrumental in helping us modernise and scale our compliance operations to keep pace with an evolving superannuation industry. As we integrated multiple funds and transitioned to a cloud-based environment, Napier AI’s platform gave us the flexibility and control we needed without added complexity. The user-friendly interface meant our team could adapt quickly, even during structural changes.”

Shawn Chan
Chief Risk Officer, Brighter Super

Challenge

Brighter Super, formerly known as LGIAsuper, is a superannuation fund with over 348,000 members managing more than A$36 billion in retirement savings (as of 1 October 2025). Brighter Super has successfully completed a merger, with Energy Super by way of a Successor Fund Transfer, and an acquisition, of Suncorp Portfolio Services Limited, bringing together three superannuation funds under its trustee banner.

In 2019, Brighter Super’s existing screening and monitoring systems were reaching their limits in terms of scalability. With the business poised for growth, the need for a hosted, flexible compliance platform became critical. Additionally, adhering to ongoing regulatory reforms meant it needed a way to easily refine and test rules to maintain compliance and reduce unnecessary alerts.

Solution

Brighter Super’s move from an on-premise setup to a hosted environment immediately unlocked scalability. As merger/growth activity accelerated, Brighter Super was able to integrate multiple funds into a single production environment efficiently and with minimal disruption.

Following the industry shift toward more dynamic infrastructure, Brighter Supermoved to a Kubernetes-based architecture. This transition provided greater flexibility and resilience, ensuring the compliance framework could grow with the fund.

The intuitive interface of Napier AI’s solutions meant new users found the system easy to learn. Training was supported by sandbox capabilities, allowing the compliance team to simulate and test new rules without impacting live data. Brighter Super is now using the sandbox to refine its rule sets in line with upcoming regulatory changes. This includes reviewing risk profiles and reducing the volume of daily alerts, enhancing efficiency while maintaining compliance oversight.

Results

✓ Scalable platform enables seamless mergers
Brighter Super was able to consolidate multiple funds into a single production environment using Napier AI’s platform. This eliminated duplicate environments and simplified compliance operations, paving the way for future growth.
✓ Smooth infrastructure upgrade with Kubernetes
Migrating to a Kubernetes architecture strengthened the resilience and scalability of Brighter Super’s compliance infrastructure. This upgrade was handled with minimal disruption, enabling the fund to better support dynamic changes in the superannuation industry.
✓ Easy onboarding for teams
Napier AI’s intuitive UI and sandbox testing tools enabled fast adoption and confidence among new users during training and system upgrades.
✓ Rule refinement for regulatory readiness
As part of its response to regulatory reforms, Brighter Super is using the sandbox environment to test and calibrate transaction monitoring and screening rules. The goal is to reduce false positives and manual effort while ensuring compliance with new regulatory requirements.