The Power of Approach: Innovation and Compliance in the AI Era

Why It Matters

Embedding compliance into AI design and using agile, modular rollouts lets financial firms innovate safely, preserving client trust and maintaining a competitive edge.

Key Takeaways

• NDT Data invests heavily in agentic and generative AI.
• AI initiatives prioritize operational efficiency while safeguarding client data.
• Compliance is embedded from design start, treated as guardrails.
• Agile, modular rollout avoids big‑bang releases, maintains market pace.
• Balancing innovation with regulation requires pragmatic, aggressive approach.

Summary

The Finextra TV interview at the Communify Intelligence Experience focused on how NDT Data is leveraging AI—specifically agentic and generative models—to transform asset and wealth‑management operations. Mark Bordeaux, client executive, explained the firm’s dual priority of driving efficiency and adhering to strict regulatory standards across the United States and global markets.

Bordeaux highlighted that AI projects are funded heavily and designed with compliance baked in from day one. He described regulatory requirements as "guard rails, not limitations," ensuring client data privacy while automating internal workflows for advisers and investors. The approach seeks measurable operational gains without compromising security.

A key theme was the adoption of an agile, modular deployment strategy. Rather than a "big‑bang" launch, NDT Data breaks AI capabilities into logical, value‑added components, allowing the firm to stay ahead of emerging technologies like agentic AI while managing risk. This pragmatic yet aggressive stance enables continuous improvement without overwhelming resources.

For the broader financial‑services sector, the conversation underscores that responsible AI adoption is feasible when compliance is integrated early and development follows an incremental, agile roadmap. Firms that emulate this model can achieve competitive efficiency gains while mitigating regulatory exposure.

Original Description

At the Communify Intelligence Experience, Mark Bordeaux, Client Executive, NTT Data joined FinextraTV to discuss how Agentic and Generative AI are driving operational efficiencies in wealth management. He mentioned cautions around Generative AI and client data, emphasising the need for careful deployment to avoid privacy and to prioritise a selective usage. Providing top tips to innovation in the face of increased regulation, Bordeaux said to ensure you really understand the impact of the steps that go into the process and marrying the regulation with design. Overall, Bordeaux encouraged firms and wealth managers to be pragmatic and aggressive and break each element down into value-added, logical elements.

For all your fintech-related news, please visit https://www.finextra.com