Displaying items by tag: ai

Artificial intelligence is becoming crucial in financial advisory operations, automating tasks and enhancing efficiency. This allows advisors to focus more on client interaction and strategic work.

 AI leverages big data and advanced analytics to identify patterns, detect market trends, and anticipate client needs with greater precision. Consequently, clients receive more personalized advice and recommendations. 

Additionally, integrating various financial technologies enhances client engagement and produces better outcomes. The rise of open architecture ecosystems enables the integration of best-of-breed solutions tailored to a firm’s specific needs.

Finsum: AI tools can be used for simpler tasks like client outreach and personalization but also for more advanced tasks like portfolio construction. 

Research shows that the average advisor spends about 11 hours per week on administrative duties. Ideally, this time could be better spent on activities that are more directly connected to the firm’s success. AI can offer some relief in terms of reducing time spent on repetitive tasks. It can also help generate better outcomes by increasing efficiency, analysis capabilities, and decision-making. 

Among the many use cases, scheduling and transcription are two that can be immediately applied. For scheduling, apps like Trevor or Clockwise can organize tasks, create to-do lists and daily plans, sync calendars across apps, and maximize time for deep work and productivity. These apps also become more effective over time as they adapt, learn patterns, and can help prioritize tasks.

Another powerful use for AI is transcription. Apps like OtterAI record, transcribe, and summarize meetings and can be integrated with Zoom, Microsoft Teams, or Google Meet. Future versions of these apps could analyze communications with clients or prospects to understand their emotions and provide more personalized service and communications. 

While AI can make advisors more effective, it’s necessary to understand the limitations, especially given the nature of financial services and the importance of safeguarding client information. 

Finsum: Advisors spend 11 hours per week on administrative tasks. AI apps can offer relief, especially in terms of scheduling, transcription, and organization. 

Many financial advisors are understandably uneasy about artificial intelligence (AI). Like any new technology, there will be considerable opportunities for those who can properly leverage and implement it. 

However, it’s also important to understand its limitations, as it lacks human intuition and the ability to understand and respond to a client's deeper, emotional needs. Instead, AI can be thought of as a way to enhance an advisors' capabilities and can be quite useful in areas such as fraud detection, estate planning, and tax strategies. Additionally, many advisors are already using technology that has elements of AI, especially for making forecasts and future projections. 

AI excels at tasks that require pattern recognition, optimization, and identifying trends. This means that it has applications in multiple areas such as prospecting, marketing, and planning. For example, estate planning is an area where AI is having a positive impact, as documents can be more quickly and easily understood by advisors and clients. It can also be used to streamline the process of updating documents based on notes taken from previous client interactions. 

Overall, AI is like previous technologies in that it can potentially help advisors gain more leverage, increase productivity, and result in more time spent on value-added activities. With financial advice, it can be particularly useful in terms of increasing responsiveness and personalization on a larger scale. 

Finsum: Artificial intelligence will affect nearly every industry and change how businesses operate. Here is how financial advisors should be thinking about this technology. 

Gary Gensler, the chairman of the Securities and Exchange Commission (SEC), spoke recently at the Investment Adviser Association Compliance Conference. In a Q&A session with reporters, he remarked that there were no current plans to modify or update Reg BI. Instead, the agency’s focus is on ‘examining for and enforcing against’ Reg BI.

In later remarks, he addressed its approach towards predictive data analytics. He believes this is a gray area, and the SEC wants to ensure that there are no conflicts of interest within newer technology that utilize behavioral prompts and nudges. Of course, this topic is even more germane given the increasing use of artificial intelligence (AI) powered applications. 

Gensler wants to ensure that there are no loopholes to bypass the fiduciary rule. Many in the industry contend that this rule is a backdoor expansion of Reg BI and that current regulations were sufficient. 

Previously, Gensler had spoken that the new technology enables practices to micro-target consumers with products and content. While this can help advisors grow their business, he believes this communications channel needs to be regulated as well to ensure that these business interests are not placed above the clients’. 

Finsum: At a recent conference, SEC Chair Gary Gensler pushed back that there was a backdoor expansion of Reg BI due to the predictive analytics rule. The rule mandates that predictive technology that communicates with clients must also follow the fiduciary rule.

Artificial Intelligence (AI) is disrupting how businesses operate in multiple ways. Advisors should embrace this technology, because it can help create more efficiency by handling routine tasks, freeing up more time and energy for high-value tasks. It can be particularly valuable in terms of managing the practice.

Some considerations include figuring out which parts of the business can be enhanced with AI and which should remain in the purview of an advisor. Another is that proper training in these tools is necessary in order to ensure that they are being properly used. 

An example of how the technology is already being leveraged to improve practice management is through the use of AI note-taking applications. Prior to this, advisors (or a staff member) would take notes during the meeting which can be distracting and detract from cultivating engagement. These apps can essentially transcribe and summarize the conversation which means advisors can stay in the moment and give full attention to the client.

Then, these summaries and notes from client interactions can be integrated into the customer relationship management (CRM) software. Thus, these notes can be used by the practice to provide a richer experience for clients by methodically following up on all relevant matters. AI can also help discover insights and identify action steps that need to be taken. 

Finsum: AI is the latest disruptive technology that will certainly impact multiple aspects of an advisors’ practice. Here is how it can be used to improve a practice’s operations.