We all want to be independent. When we open a banking app, we like doing things ourselves.
But there is a catch. When it comes to big financial decisions (e.g. choosing an investment or a mortgage) most people hesitate. They need advice. And not later but right now.
Banks want to help but they have a scaling problem. It is hard to provide expert support to everyone at the right moment. It is slow, expensive, and often not available when users actually need it.
This is where digital twins and AI advisors start to make sense.
Training Your Virtual Expert
A digital twin is a virtual representation of a financial expert. It does not replace a person. It replicates how experts approach decisions.
These models are trained on product knowledge, risk frameworks, and recommendation logic. They follow structured ways of thinking, similar to how a real advisor would evaluate a situation.
As a result, users get access to guidance 24/7. No scheduling. No waiting. No dependency on business hours. And more importantly, they can ask real questions, not just click through features. For example:
- Should I refinance my mortgage now or wait?
- Is this investment too risky for my income level?
- How should I split my savings this month?
The system may not always be perfect. But it gives users a starting point – something most banking apps don’t offer today.
The “Board of Directors” Marketplace
The most interesting part is not the advisor itself. It’s the model around it. Let’s loot at Marcus.
He wants to make a big investment decision. Today, he has 2 options: trust one advisor or try to figure things out himself. Neither works well.
With digital twins, the model changes. Marcus can “hire” several virtual advisors at once. One focuses on mortgages; another on long-term financial planning; a third one on higher-risk investments. Thus, the system supports human thinking.
He compares their answers and makes an informed choice. This gives him a variety of opinions instantly. This reduces the risk of relying on a single opinion – a common problem in financial decisions today.
This shift also changes how banks think about monetization. Advice is no longer just a service. It starts to behave like a product. For example:
- basic users may get access to one advisor
- premium users get multiple specialized advisors
- advanced insights become part of a subscription
It’s a different model: not paying for access to a person but for access to structured expertise.
The Trust Factor
Will people trust a bot with their money? Some people will be hesitant. According to Accenture’s 2026 trends, 85% of consumers want to keep strict control over AI in their financial apps.
But trust grows when these advisors are branded by a trusted bank. If the bank uses proprietary, closed models and stays transparent, people will adapt.
Most consumers want to keep control. They need to know how the AI works and why it gives certain advice. As long as there is an option to connect with a human for very complex cases, the barrier drops. We’ve seen this before with search and e-commerce – people adopt what brings value.
We are moving from complexity to simplicity. We are stopping the “wait for agent” culture and starting a world where expertise is always available. It’s time to stop teaching people how to use banking apps and start building apps that actually understand people.
What This Shift Really Solves
This shift to Digital Twins isn’t just a tech upgrade. It solves the “Expertise Crisis.” By turning professional knowledge into a scalable digital product, banks can finally offer VIP-level consulting to everyone, not just the wealthy. The “Marketplace of Avatars” is the key here – it prevents the user from feeling like they are being manipulated by a single algorithm. It keeps the human in the driver’s seat.
Banks will start experimenting with digital advisors in the next 3 years. But mass adoption will take longer – likely several years. Regulation, risk management, and internal readiness will slow things down.
