AI in Finance: Trust or Risk?

March 18, 2026

Written by

Vivox AI Team

Vivox AI Founder & CEO Tim Khamzin joins Financial IT to discuss why most AI initiatives in banking fail to move beyond pilot stage, and what financial institutions need in order to operationalise AI. The conversation explores explainable AI, governance, regulator trust, the growing role of agentic AI in financial crime compliance, one of the most promising areas for practical AI adoption in banking today.

As financial institutions adopt advanced technologies like agentic AI and large language models, many still struggle to move beyond pilot projects into full-scale production.

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This conversation with Financial IT explores:

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- Why most AI projects in banking fail to reach production

- The importance of explainable AI in regulated environments

- How governance frameworks help build trust with regulators and auditors

- The growing role of AI in financial crime compliance

- Why human oversight remains essential in decision-making

- How compliance roles are evolving into more technical, engineering-driven positions
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Financial crime compliance is emerging as one of the most impactful AI use cases, offering strong ROI and scalable automation potential.

As regulators and financial institutions align, AI adoption is expected to accelerate, reshaping the future of banking and compliance.
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Watch the full interview here

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Conclusion

Watch the full interview to explore how AI is reshaping the future of compliance, financial crime operations and banking infrastructure.

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