From Manual Work to AI: How Mutual Fund Distributors Can Scale with an AI Platform

A mutual fund distributor spends a lot of time on work that happens behind the scenes. Researching schemes, checking portfolios, preparing calculations, answering investor questions and following up with clients are all part of the job.

For a distributor with a small client base, managing these activities manually may not be difficult. The situation changes as the business grows. More clients mean more portfolios to review, more questions to answer and more information to manage.

Incorporating‍‍‍ an AI Platform for Mutual Fund Distributors may provide assistance in such a case. It saves time on a number of routine tasks and allows MFDs to focus on working with their clients and growing their business.

Challenges in Manually Handling Work When the Business Expands

An MFD can go through a lot of information before recommending or explaining about a mutual fund to their client. A few examples of what an MFD might consider are the fund's return, holdings, type, risk factors, and other relevant parameters.

Client services involve a series of tasks that are done on a consistent basis. An MFD can be expected to do portfolio reviews, investment demand calculations, answer questions, monitor follow-ups, and generate reports on a regular ‍‍‍basis.

Doing all these activities manually can become difficult when the number of clients increases.

It can also lead to avoidable errors. A missed follow-up, an incorrect calculation or the use of outdated information can affect the client's experience.

These Are Some Of The Mutual Fund Distributor Mistakes That AI Can Help Minimise.

1. Using AI For Mutual Fund Research

Research is one area where an MFD can spend a considerable amount of time.

An AI-Powered Mutual Fund Research Tool can help a distributor find and organise information about mutual fund schemes. Instead of looking through several sources for every basic detail, the distributor can ask specific questions through an AI-enabled research platform.

Let‍‍‍ us say an MFD is preparing to meet a client and would like to know the portfolio, performance or category of a particular fund. A research resource might be able to collect these pieces of information and hence a great deal of the pre-research would become quicker.

It still lies in the hands of an MFD to double-check and confirm the correctness of the materials before a client session. Though research using AI can greatly assist, the distributor is still ultimately accountable for getting to know client's problems and needs.

2. Time-saving For Routine Math

A client may be wondering what sum they need to invest per month to build a corpus, say a particular target amount in 10 years time. 

Another client may want to know how much they might have accumulated with a lump sum today after a number of years assuming a certain rate of return. An AI platform can carry out such work as soon as the inputs are available.

It works very well for MFDs who have a tight schedule and many clients per day.

They can save a lot of time in the initial phase by getting their calculator work done with technology and then be able to spend that saved time in explaining to the client the details behind the numbers that are being ‍‍‍discussed.

3. Preparing For Client Conversations

Investors have different questions depending on their financial goals and existing investments.

One client may want to understand a particular mutual fund. Another may need help reviewing an existing portfolio. Someone else may be planning for retirement or a child's education.

An‍‍‍ AI platform can be a tool to help MFDs prepare for these.

The time of getting prepared can be reduced significantly. Above all, it enables the Distributor to spend more time on the investment concerns of a client as opposed to a time-consuming meeting that involves only looking for information.

AI can only give data, but it definitely cannot match the Distributor's client's insights or ‍‍‍experience.

AI for the Financial Industry Still Needs Human Judgement

The growing use of AI for Financial Industry applications does not change the importance of the financial professional.

Investment decisions depend on an individual's income, expenses, financial responsibilities, goals, investment horizon and risk tolerance. These factors need to be discussed with the investor.

AI can help an MFD analyse information and prepare for a discussion. It cannot take responsibility for understanding the complete financial situation of the client.

The distributor remains responsible for the client relationship and for explaining investment-related information appropriately.

Conclusion

The Mutual Fund Distribution business is becoming more technology-driven. Investors are used to getting information quickly, and distributors are managing larger amounts of data than before. An AI Platform for Mutual Fund Distributors can help MFDs keep up with this change by making research and routine work easier to manage.