The Singapore Fintech Festival is an annual 3-day event held in Singapore every November
This year, a number of high-profile speakers graced the various stages. One of the panels in the first few days focused on the impact of Artificial Intelligence on the financial services industry, particularly in wealth management.
The panel — “AI Pathfinders in Finance: FX, Wealth Management, Payments” — brought together leaders who sit right at the intersection of technology and money. Caesar Sengupta, Co-founder and CEO of Arta Finance, shared the stage with Kelvin Li, Head of Platform Tech at Ant International, Nikhil Dwarakanath, Group Head of Data and Analytics at Grab, and Soh Kim Goh, CIO of APAC at MUFG.
If there’s one theme that has dominated conversations across finance in both 2024 and 2025, it’s that AI is no longer a buzzword that gets sprinkled into pitch decks and keynote speeches. It has shifted from theory into actual practice, changing how banks make decisions, how relationship managers work with clients, and how ordinary people manage and grow their wealth.
Personalisation At Scale Is No Longer A Luxury Service
Private banking has always been a very human, very manual business. A truly personalised financial plan requires hours of deep conversations, a good understanding of a client’s fears and ambitions, and continuous monitoring in the background. That level of attention does not come cheap, which is why private banking has traditionally been reserved for high-net-worth individuals who could afford it.
A key point raised during the panel was that Artificial Intelligence is starting to dismantle that old structure. What used to be a premium, relationship-driven service can now be offered to everyday investors.
AI wealth agents today can have natural back-and-forth conversations with users. They can pick up on preferences, risk appetite, and long-term goals, just like a human advisor would. More importantly, they can translate all that input into an actual investment plan. This is the kind of personalised portfolio building that mid-income investors in Singapore would once have had to pay significant advisory fees for.
The magic lies in how quickly the technology processes information. AI can listen, interpret, and provide real-time recommendations. If you prefer straightforward explanations, the system can break things down in plain English. If you are the type who enjoys technical analysis, it can shift gears and offer data-driven reasoning.
For wealth managers, this unlocks something previously impossible: the ability to deliver a high-touch, private-banking-style experience to a far larger audience. In a market like Singapore, where retail investors are increasingly savvy and time-starved, this could reshape how financial advice is delivered and who has access to it.
The Real Magic Happens Behind The Scenes
While AI-powered personalisation is the part that most consumers will interact with, the more transformative shift is happening out of sight. Wealth platforms rely heavily on accurate forecasting. Whether it is liquidity planning, asset allocation, or currency exposure management, the quality of these forecasts can make or break performance.
One of the panellists shared an example from his own team. They built a time-series transformer model designed to predict cash flows across different industries. The purpose sounds straightforward: improve the timing of foreign exchange trades so that travellers, merchants and payment users receive better rates. In other words, use sharper predictions to pass on real savings.
What makes this model impressive is the sheer diversity of data it absorbs. Beyond financial indicators, it pulls in logistics data, seasonal patterns and even weather information. These signals help the system forecast cash flows with an accuracy that human analysts cannot match at scale.
Although this case originated in the payments space, its implications reach far into wealth management. If a system can anticipate macroeconomic shifts earlier, monitor portfolio risks more precisely and execute trades more efficiently, costs inevitably come down. Lower costs ultimately mean better outcomes for investors, especially retail clients who feel every basis point.
Real-Time Risk Management Is Becoming The New Standard
Risk management is where AI is already proving its worth in efficient ways. Southeast Asia was described as one of the most complex regions for digital financial services. Each country has its own language, demographic mix, regulatory environment and customer behaviour. For financial institutions, this creates an intricate web of risks to monitor.
One panellist shared that their company built a unified AI-and-data foundation that adapts to each market. Instead of using a one-size-fits-all approach, the system learns local patterns and makes real-time decisions. This allows the organisation to operate confidently across very different environments without compromising speed or safety.
The range of applications goes far beyond payments or lending. AI can now detect unusual behaviour within seconds. Something as subtle as a person’s typing rhythm or the way they complete an online form can reveal risk signals or potential fraud. By spotting these patterns early, institutions can approve genuine transactions faster while stopping suspicious activity before it causes damage.
Governance & Trust Must Grow Alongside The Technology
Despite the excitement, the panel also stressed a crucial point: adopting AI is not just about plugging in new tools. Trust, privacy, fairness and accountability must evolve along with the technology. This requires deliberate governance frameworks and education across the entire organisation.
Several institutions are already using AI co-pilots to support tasks such as software development, risk modelling and customer analytics. However, human oversight remains non-negotiable. One panellist explained that their team uses a layered governance process, ensuring that every AI-assisted decision aligns with policies set by senior management and carried out by operational teams.
What this ultimately changes is the nature of advisory work. Advisors are no longer just reviewing reports or crunching numbers manually. With AI serving as an “always-on” assistant, they can offer deeper insights, quicker analysis, and timelier monitoring. Clients benefit from faster responses and more informed guidance, even in volatile market conditions.
In short, AI is enhancing the human element in finance, not replacing it.
Build, Buy, Or Partner?
One of the most grounded discussions in the panel revolved around a question that every financial institution in Singapore is wrestling with: should you build AI tools internally, buy off-the-shelf solutions, or partner with specialists?
The panel noted that the pace of AI innovation makes this a moving target. A model that looks cutting-edge today can feel outdated in just a few months. Because of this, many organisations are no longer trying to do everything themselves. Instead, they adopt a hybrid approach: build core capabilities, buy specialist models where it makes sense, and form partnerships to fill the remaining gaps.
Large global banks such as Barclays, Citi and Standard Chartered have already incorporated external AI engines to sharpen the pricing of their foreign exchange products. Many wealth managers are following a similar path, using external tools for personalisation, risk monitoring or portfolio analytics. The goal is simple: stay competitive without reinventing every wheel internally.
What The Future Wealth Experience Will Look Like
The panel wrapped up on an optimistic note. Voice-based AI interactions are expected to grow, making financial planning feel more conversational and less like filling in forms. Data and agent layers will continue to mature, enabling different AI systems to communicate more intelligently.
A fascinating idea was the use of AI agents to validate each other’s work. Think of it as multiple digital advisors cross-checking recommendations, risk assessments, or market signals in real time. This layered oversight could reduce errors and give both advisors and clients more confidence in the decisions being made.
The direction is clear. AI will make wealth management more accessible, more transparent, and more responsive to market changes. Instead of replacing the wealth manager, AI enhances their ability to give meaningful, timely, and personalised advice.
For everyday investors, this could mean a future where high-quality financial guidance is no longer a luxury but a standard feature of modern wealth platforms.
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