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Financial technologies at the service of asset & wealth managers

Fintech – or financial technology – has been transforming the wealth management sector for over 10 years now. While the wealth management industry has increasingly embraced these technologies in recent years, the pace of change continues to accelerate. At KeeSystem, we’re constantly on the lookout for new technologies, enabling us to provide our customers with the advice and vision they need to remain a relevant choice for their clients, now and in the future.

In this article, find out how existing and emerging technologies are impacting wealth management and how independent asset managers, family offices and private banks can integrate them to stay competitive.


1. Artificial Intelligence and Machine Learning

These two technologies enable machines to learn from data, optimize processes and make decisions with little or no human intervention.

Faced with an exponential amount of data to process in wealth management, AI and machine learning are capable of analyzing large quantities of data to identify trends, patterns and valuable insights.


Impacts and challenges in wealth management

  • Process automation: AI automates complex administrative tasks, such as compliance verification and risk management. For asset management companies, this is a time-saving lever for higher value-added activities. Automation solutions such as KeeSense already exist. AI can enable intelligent searches. For example, perform a search and obtain a list of portfolios in CHF whose holder is a French tax resident and whose portfolio assets are worth more than 5 million euros.

Artificial intelligence can also assist the compliance department in analyzing documents from a client and its companies, to highlight a geographical location or a field of activity that is not recommended. It can also be used to list the names of people involved, and then carry out screening.

  • Predictive analysis: the use of AI enables asset managers to identify and predict market trends and investment behavior. The direct impact is improved investment strategy and personalized advice for clients, removing the cognitive biases associated with human intervention and interpretation.


  • Portfolio optimization: drawing on past data and the manager’s experience, machine learning enables the construction and management of investment portfolios that integrate the expertise of the asset management company, family office or private bank. This represents a real competitive advantage – and maximizes risk-adjusted returns in line with clients’ specific objectives and preferences.

Using model portfolios constructed on the basis of this optimization, the independent manager can then compare his clients’ portfolios with these model portfolios.

  • Optimized risk management: AI-powered algorithms can analyze large quantities of data to detect patterns, identify anomalies and reduce potential risks. This includes fraud detection, anti-money laundering (AML) efforts and cybersecurity measures, and reporting generation. For asset managers, it means reducing the risk of penalties for non-compliance and helping to reduce reputational risk.


  • Improved marketing and sales performance: By analyzing customer behavior, market trends and financial indicators, asset management companies can make data-driven decisions based on the analysis of large volumes of customer and market data (insights), develop targeted marketing strategies and identify new business opportunities.


KeeSense already integrates the ability to collect, store and render as much customer data as possible in its CRM – the essential “raw material” for exploiting the full potential of AI processing.


2.Decentralized Finance (DeFi)

DeFi (Decentralized Finance) continues to develop, driven by blockchain technology and “smart contracts” to create financial services that are open and accessible to all, without traditional intermediaries like banks. It enables secure, transparent and fast transactions.

For private banking professionals, DeFi offers numerous opportunities and growth drivers.


Impact and applications

  • Wider access to financial markets: DeFi gives asset managers direct access to new financial markets and products, by removing geographical or institutional restrictions.


  • Innovative product offering: decentralized finance enables the development of new financial instruments and products – such as tokens. They represent real assets, which can diversify and enrich customer offerings.


  • Cost reduction: The elimination of intermediaries with decentralized finance reduces transaction and management costs. For the end customer, this means improved returns. This reduction in costs can also be passed on to the management company’s margins, counteracting the increase in many other costs (compliance, among others).


3. Open Banking

As its name suggests, open banking opens up the sharing of banking data. It facilitates the secure sharing of financial data between banks and third parties via APIs. A powerful lever for innovation in the financial sector.

Impact and challenges for asset & wealth managers

  • Personalized services: with greater access to data, asset managers can offer more personalized services and assert their brand and difference by improving the customer experience.


  • Integration of financial services: it facilitates the integration and combination of different financial services, offering a more coherent and centralized customer experience.

This is a major area of development that we support at KeeSystem, by integrating a large degree of personalization into KeeSense. With our API and those of financial services, KeeSense interfaces with users’ preferred services.


4. Cybersecurity & IT security

With the exponential growth and exchange of sensitive data, cybersecurity is becoming increasingly critical, especially as financial operations migrate to digital channels. To mitigate the associated risks, solutions such as automated data compliance, financial data encryption and fraud prevention are becoming essential.

Impacts and applications

  • Data protection: Strengthening cybersecurity is crucial to protect sensitive customer data and control reputational risk by limiting opportunities for data leakage.

The use of secure APIs and data encryption protocols ensures a flexible yet secure environment, enabling asset and wealth managers to innovate effectively without fear of a security breach.

The adoption of financial technologies enables wealth management professionals to remain relevant and sustainable in their markets, and stay one step ahead of the competition.

Since 2009, KeeSystem has been supporting asset management companies, family offices and banks in the digitization and automation of wealth management, while maintaining a personalized, human approach.

To find out more, contact our team.