Lumin Digital’s approach to incorporating Ai into its product strategy and digital banking platform is intentional, measured, and designed to build trust with clients and users. AI is used to enhance the user experience and operational efficiency while protecting both from fraud and privacy leaks. We have four pillars:
1
High-value AI
Target areas where AI’s strengths—such as pattern recognition and summarization—can be harnessed to improve outcomes. For example, start with areas that have clear benefits and low perceived risk, such as workflow assistants, intelligent self-service features, and proactive recommendations.
2
Responsible AI
Avoid introducing AI in highly complex and risky applications that are materially impactful with little margin for error, such as optimized workflows like authentication and transaction syncing. Human oversight is critical to ensure that AI optimizes workflows without incurring unintended consequences. AI can help automate, predict, and generate content, but humans should always be required to complete actions or tasks, and should be kept in the loop—particularly where judgment, compliance, or trust is at stake.
3
Additive (or integrated), not disruptive, AI
Find opportunities to layer AI into existing features and user experiences to enhance outcomes while preventing disruption to end users.
4
Consent-driven design
Require users to opt into and give consent to using AI applications without reducing functionality in existing tools to accommodate opted-out users. This ensures users maintain full control of their data, records, and information as they see fit.
