AI (artificial intelligence) is taking over the world exponentially in various ways across all spheres of life, personal (from music streaming to budgeting, ride-sharing, and alike) and professional (from data compiling to automating operations, investment planning, and so on). Progressively, AI-enabled applications are being used not just to escalate human expertise in doing repetitive tasks but also to streamline business operations.
One significant sector that AI applications are noticeably transforming is Wealth Management (WM). While wealth management firms have long been aware of the AI potential, many of them are still uncertain if it is worth the investment. It is why artificial intelligence has been the most discussed technology in the financial sector.
Let’s discuss in detail how artificial intelligence helps wealth managers streamline operational efficiency and drive more revenue.
Use Cases of AI in the Wealth Management Industry
The wealth management industry leverages the benefits of AI-enabled software in many ways. It is why a professional fintech software development company constantly builds AI-based technologies to help the wealth management firm gain the highest level of accuracy, strategic business operations, impeccable precision in analysis, and the sheer volume of data.
1. Portfolio Management
Artificial Intelligence (AI) can be a powerful tool for financial institutions (FIs) to quickly and accurately analyze large amounts of data and gain valuable insights. AI can provide FIs with the ability to identify and understand the context of the data, allowing them to make more informed decisions. It is especially useful when it comes to portfolio management, where financial institutions can use AI to build, monitor, and rebalance a diversified portfolio based on the client’s goals.
2. Augmented Advisory
With the increasing availability of data on clients, artificial intelligence (AI) helps financial institutions make more personalized recommendations for each customer.
Wealth managers can take the help of fintech software development companies to develop custom solutions to consider the life events of clients and create tailored investment plans in a very short amount of time. These solutions allow FIs to take advantage of the ever-growing data pool to provide clients with more personalized advice.
3. Client Onboarding
Wealth management firms must adhere to more stringent Know-Your-Customer (KYC) requirements than other industries. To make this process more efficient, wealth management companies can use Artificial Intelligence to automate time- and labor-intensive tasks.
This AI-powered solution provides multi-language and natural language processing to verify users and screen adverse news and background information on existing and potential clients. It also builds detailed profiles of clients by aggregating, distilling, and classifying them according to relevance and risk level.
4. Tax Planning
Taxation is an expansive and essential area for high-net-worth individuals, which involves various use cases of artificial intelligence. Right from suggesting investments for tax savings to automated tax filing by aptly categorizing tax-sensitive transactions, AI solution has a wide array of usability in tax planning.
As in today’s digital age, more and more data is being stored on cloud servers, it is essential for wealth management firms to protect the privacy of their client’s private information and financial records. It is where custom business software development for AI solutions can be of great use. AI software is capable of sophisticated, up-to-date, real-time monitoring and can quickly flag any issues.
Businesses across industries are investing millions in AI, with a particular focus on preventing cyberattacks through the use of anomaly detection software that is powered by AI and real-time data analysis. This investment is a testament to the importance of protecting client data and privacy.
6. Back Office Automation
Typically, wealth managers spend a significant amount of their time on activities that are not directly related to advisory services. It is because many wealth management companies still rely on manual data analysis to generate asset recommendations, risk and compliance analytics, and lead generation.
However, by implementing AI, companies can automate many of these tedious and repetitive back-office operations, allowing managers to focus on more value-adding activities and become more productive.
7. Compliance Management
In the financial sector, regulatory bodies continuously update a set of rules and standards that wealth management companies have to abide by. Failing to comply with the set rules can result in a severely tarnished reputation and hefty fines, which is detrimental to a company’s growth.
While ensuring compliance with a range of rules and standards is essential, manually shifting through the regulatory documents is largely time-consuming and ineffective. Thankfully, AI, NLP, and advanced data analytics liberate wealth managers from the pressures that authorities put on the financial sector and make compliance management more efficient.
Artificial Intelligence is a powerful tool that can greatly benefit wealth management companies. However, wealth managers should not rush into the quick adoption of AI just because of the success of early adopters. AI adoption requires careful planning and coordination across the organization to make the most of this revolutionary solution. Also, wealth management firms should assess their current market position, long-term goals, and technological readiness to develop a clear implementation plan.
Companies that successfully integrate AI into their workflows are most likely to become market leaders. For the successful adoption of AI in wealth management companies, you can take the help of reputed fintech software development companies with profound expertise in building perfect tech solutions and developing cutting-edge custom AI software for your projects.
- What is the REAL meaning of “que que na-to-ra”? - February 25, 2024
- Which chemical species can form an ionic bond with an anion?Hg22+NO2–SO32–Ar - February 25, 2024
- In a 1.0× 10–2 M solution of NH4ClO4(aq), identify the relative molar amounts of these species.? - February 25, 2024