
AI in Finance Requires Governance Before Scale

Charlotte Nguyen
30 October 2025
Ho Chi Minh City, October 2025: Gradion participated in the Digital Finance Conference 2025, a two-day forum bringing together regulators, central bankers, and fintech leaders across the region to address innovation and financial inclusion in the digital economy.
Gradion was represented by Founder Lars Jankowfsky, CEO Roberto Kauffmann-Dev, and Partnership Manager Ly Le on the panel:
“AI and GenAI in Finance: Unlocking Inclusion through Innovation.”
The session was moderated by Shehryar Ali Shah, Senior Country Officer at the International Finance Corporation IFC. Fellow panelists included:
- Li Xiaoli, Singapore University of Technology and Design
- Phil Wright, COO, HSBC Vietnam
- Santhosh Mahendiran, Chief Data and Analytics Officer, Techcombank

Inclusion at scale requires data, control, and accountability
Discussions focused on how artificial intelligence and generative AI are reshaping financial inclusion and where governance must strengthen.
Panelists examined how AI models analyze behavioral data to improve access and trust in financial services.
As shared by Santhosh Mahendiran of Techcombank, AI systems in Vietnam’s banking sector now process over 12,000 behavioral data points, including digital habits, to assess risk and expand inclusion.
AI in finance is operational.
Governance must be equally operational.
Speed without discipline increases risk
In his post-event remarks, Gradion Founder Lars Jankowfsky addressed the structural gap facing the sector:
“Fintech lives on trust and compliance, but right now, 100% are using AI and only 50% have rules for it. We’re advancing with Asian speed but missing German discipline.”
The constraint is not innovation capacity.
It is governance maturity.
Financial services depend on trust, compliance, and auditability. AI adoption without structured oversight introduces measurable risk.
Being AI-first means more than deploying models.
It requires governance frameworks, operational standards, and secure implementation.

Responsible AI must function as infrastructure
Conference organizers reported strong engagement and positive feedback from attendees.
The signal from DFC 2025 was clear. Inclusion through innovation is achievable, but only if AI is governed as core infrastructure.
Gradion remains focused on two parallel priorities:
- Advancing AI capabilities
- Strengthening compliance and governance structures
The objective is controlled progress. Financial institutions must scale AI responsibly while protecting trust.
Building trust: Gradion’s next steps
Gradion continues to develop AI-powered solutions and consulting frameworks designed to help financial institutions integrate innovation with compliance.
Secure.
Structured.
Production-ready.

About the author
Charlotte Nguyen
Charlotte Nguyen is the Head of Marketing at Gradion, leading global brand, demand generation, and sales enablement across APAC, DACH, and MENA. She works directly with consulting, sales and industrial teams to turn complex deep-tech capabilities into clear market positioning and revenue-focused execution. With experience across digital transformation, industrial automation, and B2B enterprise growth, Charlotte focuses on building scalable marketing systems, sharpening ICP-driven strategies, and aligning marketing tightly with sales outcomes. At Gradion, she writes about scaling businesses, go-to-market discipline, AI and automation in industry, and what it really takes to build credibility in technical markets. Direct. Structured. Outcome-first.
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