Unless you’ve been living under a rock, you’ll most definitely have heard about Artificial Intelligence (AI) by now. In fact, not hearing about it would probably be more of a challenge! AI is rapidly transforming industries, and the financial planning sector is no exception.
With AI’s potential to streamline processes, provide real-time insights, and improve decision-making it has the potential to be very useful. Microsoft have even gone as far as to market it as a “copilot”. But while AI offers impressive benefits, it also brings new responsibilities, particularly when it comes to due diligence. What’s that saying again…. Ah yes, with great power comes great responsibility! So, let’s talk about how you can use AI responsibly as a financial planner and protect your business.
What are the pros and cons of Microsoft Copilot?
Microsoft’s AI-driven Co-pilot is one of many tools bringing AI-powered features to financial planners. It helps with things like automating those routine tasks that bore us to tears, generating reports, and even making data-driven predictions. While tools like Co-pilot can be powerful assistants, they also come with potential challenges.
Pros of using AI in financial planning:
Improved efficiency
AI can handle repetitive tasks like data entry, preparing reports, or tracking client portfolios, giving you more time to focus on the more complex parts of your job that require the human touch.
Data-driven insights
AI tools can analyse huge datasets in minutes, identifying patterns and trends that would be pretty darn tricky for a human to spot. This can help you make more informed recommendations.
Cost savings
By automating certain parts of your business, you can potentially reduce overhead and offer services more efficiently.
Around-the-clock assistance
AI tools, such as chatbots, can assist clients with simple questions or tasks 24/7, helping to provide fantastic customer service.
Cons of using AI in financial planning:
Privacy concerns
AI tools often require access to sensitive data, raising questions about how that data is stored, shared, and protected. Financial planners must ensure that any AI tool they decide to use adheres to strict data privacy laws.
Transparency issues
AI tools, particularly those that rely on complex algorithms, can sometimes be hard to explain. If a client asks how a particular recommendation was made, you need to be able to provide a clear answer.
Regulatory compliance
Financial planning is heavily regulated, and any tool you use must comply with guidelines from organisations like the Financial Conduct Authority (FCA). Failing to meet these standards could result in fines, other legal consequences and a big ole hit to your reputation – not good.
Over-reliance on AI
While AI can offer great insights, it’s definitely not perfect. There’s always the risk that over-relying on AI might lead to missing out on important nuances that a human advisor would notice.
How can financial planners conduct due diligence on AI tools?
Chances are that you ended up on this blog because you’re thinking about bringing AI into your financial planning practice. If that’s the case, there’s some due diligence homework you need to turn in first before you can give AI the greenlight.
Data privacy and security
First and foremost, financial planners must understand how an AI tool handles sensitive client data. This is especially important when you’re working under regulations like GDPR or FCA guidelines.
What to ask vendors:
- Where is client data stored?
- Is data encrypted, and if so, what standards are used?
- Does the AI tool comply with relevant privacy laws?
- Can clients request to have their data deleted from the system?
You should also inform clients about the AI tools you’re using and how their data will be used as transparency here is key to maintaining trust.
Check for FCA compliance
The FCA has very specific rules around the handling of client data, the audit trails required for financial decisions, and maintaining transparency.
Important considerations:
- Does the AI tool support the record-keeping requirements mandated by the FCA?
- Is the tool built with financial regulations in mind, offering clear, auditable decision-making processes?
- How does the tool handle risk assessments and client suitability checks?
It’s essential to work with vendors who understand and prioritise compliance, particularly in highly regulated industries like financial planning.
Understand how the AI works
AI tools, especially those that use machine learning, can sometimes feel like a “black box” —you put data in, and it spits out a result. But that’s not enough when you need to explain financial advice to a client. You need to understand how the tool arrives at its conclusions.
Best practice:
- Look for tools that offer explainability features, or that come with clear documentation outlining how the AI algorithms work. This will allow you to better understand, and explain to clients, how certain conclusions or recommendations are reached.
Assess vendor security practices
Even though AI tools can make your life easier, they come with risks if the company providing the software doesn’t have strong security practices. That’s why we can’t overstate enough how important it is to choose a vendor with a solid reputation for keeping data secure.
Key areas to review:
- Does the vendor have a history of data breaches?
- Are their systems regularly audited for security vulnerabilities?
- What certifications do they hold (for example, ISO 27001, which focuses on information security)?
A thorough assessment of a vendor’s security practices should be part of your due diligence before integrating their AI tool into your business.
Set clear AI usage policies
Once you’ve chosen an AI tool, it’s important to establish clear guidelines on how it will be used within your practice. This is especially true if multiple team members will have access to the tool.
Create an internal AI policy:
- Define who, when and how AI should be used, and make sure that any AI-generated insights are reviewed by a human before being shared with clients.
- Consider locking down computers to prevent unauthorised AI tools from being used. This is a safeguard against potential compliance issues and data breaches.
Need some extra help making sure your financial firm’s IT and cybersecurity measures are sufficient? Book a chat with Mark today!