Best AI-Powered Portfolio Management Software

Overview of AI-Powered Portfolio Management Software

AI-powered portfolio management software is reshaping the way investors handle their money by using technology to make smarter decisions faster. Rather than relying solely on human judgment, this software uses machine learning to analyze a massive amount of financial data, including market trends, asset performance, and global news, to predict the best possible moves. With these tools, investors can access strategies that are customized to their goals, risk tolerance, and financial needs. The result is a more hands-off experience, where portfolios are constantly being adjusted to stay aligned with the changing market environment.

What makes AI portfolio management stand out is its ability to continuously monitor and optimize investments without the emotional biases that often affect human decisions. The software is designed to stay on top of market shifts, updating the portfolio automatically when necessary, making adjustments in real-time. This means it can identify opportunities or risks that might otherwise be overlooked by traditional methods. With automation taking care of many of the tedious tasks involved in managing a portfolio, investors can focus more on their big-picture goals while feeling confident that the software is doing the heavy lifting.

What Features Does AI-Powered Portfolio Management Software Provide?

1. Dynamic Portfolio Rebalancing: Automatically adjusts your investment allocations as market conditions shift. If certain assets are performing better than others or if your risk profile changes, the system will make adjustments to keep your portfolio balanced. This feature saves you time and keeps your investments aligned with your goals without needing to manually intervene every time market conditions change.
2. Risk Profiling and Monitoring: The software constantly evaluates your portfolio’s risk level and compares it to your set tolerance. It tracks changes in risk over time and helps you stay on top of unexpected shifts in the market. Knowing exactly how much risk you’re taking on helps you avoid surprises. Plus, it allows you to make adjustments when your personal risk tolerance changes, ensuring you're not overexposed to certain risks.
3. Tax-Efficient Investing: The system can help reduce your tax burden by identifying opportunities like tax-loss harvesting or by recommending tax-efficient asset allocation strategies. Paying attention to tax efficiency can significantly boost your after-tax returns, which means you can keep more of your profits in your pocket.
4. Custom Investment Recommendations: AI-powered software can suggest investments based on your personal goals, risk tolerance, and preferences. These recommendations are tailored to you, not based on a one-size-fits-all approach. Instead of relying on generic advice, the platform learns what works for you and adjusts accordingly, ensuring your investments align with your individual financial goals.
5. Market Sentiment Analysis: The software scans news sources, social media, and other data to gauge the mood of the market. It uses this information to predict potential trends or upcoming market movements. This gives you an edge by taking into account public sentiment, which can be a powerful indicator of how markets are likely to behave, helping you make smarter decisions.
6. Performance Analytics and Reporting: Offers in-depth performance reports that show you how your investments are doing over time. It provides metrics like returns, volatility, and benchmarks, often in real-time. It allows you to track how well your portfolio is performing against your goals and compare it to market benchmarks, helping you decide whether to stick with your current strategy or make changes.
7. Scenario Analysis and Stress Testing: Simulates how your portfolio would perform under various economic scenarios—like a market crash, interest rate hikes, or a global recession. It helps you see how your investments could hold up under pressure. This helps you prepare for unexpected events, ensuring that you don’t get caught off guard by extreme market shifts and have a plan for managing such risks.
8. Personalized Alerts and Notifications: Sends notifications about important market events or changes in your portfolio’s performance, such as a drop in value or when a rebalance is recommended. With this feature, you’re always in the loop without needing to monitor the market constantly. It keeps you updated on things that matter to you, letting you act when needed.
9. Data-Driven Investment Insights: Uses vast amounts of historical and real-time data to offer investment insights you may not have considered. The platform can identify patterns and trends that could signal future opportunities. The ability to analyze large datasets gives you an edge when it comes to identifying emerging trends or assets that could offer solid returns, potentially boosting your portfolio’s growth.
10. Goal-Based Financial Planning: Breaks down your long-term financial goals and develops an investment strategy tailored to help you reach them. Whether you’re saving for retirement, a home, or a child’s education, it adapts your portfolio accordingly. Aligning your investments with your personal financial goals ensures you're always focused on the bigger picture, making it easier to stay on track and achieve your objectives.
11. Alternative Asset Integration: AI systems can consider alternative investments like real estate, cryptocurrencies, or private equity alongside traditional assets. These types of investments are factored into your overall portfolio strategy. Including alternatives can offer greater diversification and potential for higher returns, especially if traditional markets are underperforming.
12. Continuous Learning and Adaptation: Over time, the AI system learns from your past decisions, market conditions, and outcomes to improve its future recommendations. It gets better at predicting what strategies work best for you as more data is fed into it. This means the more you use it, the smarter it gets, and the more it can optimize your portfolio to achieve better results.
13. Cost Efficiency and Fee Analysis: The software analyzes the cost structure of various investment products and recommends cheaper alternatives, helping you avoid high management fees and unnecessary expenses. Keeping investment costs low is essential for maximizing returns, and this feature ensures you’re not wasting money on high-fee funds or services.
14. Ethical and ESG Investing Features: If you're concerned about ethical investing, AI-powered platforms can help build a portfolio that aligns with your environmental, social, and governance (ESG) criteria. This includes screening for investments that meet certain social or environmental standards. This feature allows you to invest in ways that reflect your values, all while still aiming for good financial returns.
15. Behavioral Insights and Coaching: Tracks your investment behavior and provides feedback to help you avoid common mistakes, like making impulsive decisions based on short-term market movements or emotional reactions. Helps you stay disciplined and stick to your long-term strategy, reducing the risk of emotional trading and potential losses.
16. Real-Time Asset Monitoring: Constantly monitors the performance of individual assets in your portfolio, notifying you of any changes in price, volatility, or market conditions that could impact your holdings. Real-time insights give you the flexibility to make quick adjustments, whether you need to buy, sell, or adjust your strategy based on the latest data.
17. Interactive Dashboards: Features visual dashboards that present key information like portfolio allocation, risk metrics, performance, and even future projections in an easy-to-understand format. Provides a clear view of your portfolio’s health, making it simpler to spot trends, opportunities, or areas that need attention at a glance.
18. Comprehensive Backtesting: Allows you to test different investment strategies against historical data to see how they would have performed in the past. This gives you confidence in the approach before committing real money. Backtesting is a great way to validate strategies and avoid costly mistakes. It lets you experiment with different scenarios without the risk.
19. Integration with Other Financial Tools: Seamlessly connects with other financial platforms or accounts, bringing all your financial data together into one place for easier management. Consolidating all your information makes it simpler to manage your finances, and ensures that your investment strategy fits into your overall financial plan.

Why Is AI-Powered Portfolio Management Software Important?

AI-powered portfolio management software is a game-changer for investors looking to stay ahead in a fast-paced market. With the increasing complexity of global markets, AI helps to make sense of large volumes of data that would be overwhelming for humans to process. These tools allow investors to make quicker, smarter decisions based on real-time market conditions, historical trends, and predictive models. Instead of relying on gut feelings or outdated strategies, AI delivers insights that are grounded in data, providing more confidence in investment decisions. It's like having a personal financial assistant that can quickly adapt to changing circumstances and optimize your portfolio with minimal effort.

Furthermore, AI-powered platforms take the emotion out of investing. Emotional decision-making, like panic selling during market dips or holding on too long to a losing investment, can lead to poor outcomes. AI helps to eliminate this by sticking to clear, data-driven strategies. Whether it's rebalancing your portfolio, managing risk, or recommending new opportunities, AI tools work relentlessly to align your investments with your goals. This makes managing your portfolio not only more efficient but also more effective, ensuring that your financial objectives are better met in an ever-evolving market landscape.

Why Use AI-Powered Portfolio Management Software?

1. Smarter Investment Strategies: AI doesn’t just rely on static models; it learns from patterns and continuously improves. It can make complex decisions based on changing market conditions, which makes it highly effective at developing strategies that adapt in real-time. Instead of following a rigid strategy, it tweaks and tunes itself to enhance performance, which is something traditional methods struggle to match.
2. Eliminating Human Error: Even the most experienced portfolio managers can make mistakes. AI removes this element by relying on algorithms to guide decisions, ensuring more accuracy. This is particularly important when handling complex portfolios or during volatile market situations where small errors could lead to big losses. AI provides a more reliable approach to managing the portfolio.
3. Faster Reactions to Market Shifts: Financial markets move quickly, and being able to react swiftly can make a significant difference in results. AI is capable of processing vast amounts of data at lightning speed, allowing it to act almost instantly when market conditions change. This gives investors an edge, ensuring they don’t miss opportunities or are left exposed to sudden downturns.
4. Customized to Your Goals: Whether you're saving for retirement or managing a high-growth portfolio, AI can adjust to your unique objectives. It takes into account factors like risk tolerance, time horizon, and personal preferences to provide recommendations that are tailored specifically to your situation. This personalized approach is hard to achieve manually and can ensure a much more precise investment plan.
5. Risk Reduction: AI tools are exceptional at identifying risks before they become a problem. They can track an extensive range of data points, from market volatility to geopolitical events, and predict potential impacts on your investments. With AI handling the heavy lifting, you'll likely see fewer surprise losses and be able to protect your investments better in uncertain times.
6. Cost-Effective Management: Traditional investment management often involves high fees for financial advisors or asset managers. AI-powered systems, however, are more cost-efficient because they reduce the need for human intervention. As a result, you can access sophisticated portfolio management at a fraction of the cost, making it a more affordable option for both individual investors and institutions.
7. Scalable for Any Portfolio Size: Whether you're managing a few thousand dollars or millions, AI scales to your needs. These systems are highly adaptable and can handle portfolios of all sizes, automatically adjusting strategies based on your wealth and financial situation. This scalability ensures that the same level of precision and insight is available regardless of how big or small your portfolio is.
8. 24/7 Monitoring Without Burnout: AI doesn’t need breaks, and it doesn’t sleep. It constantly monitors your portfolio, evaluating its performance and making adjustments as necessary. This level of vigilance is impossible for human portfolio managers who need time off, and it means you can rest easy knowing that AI is always keeping an eye on things, even outside of market hours.
9. Data-Driven Insights: AI excels at processing and analyzing large amounts of data that would overwhelm a human. It can sift through market reports, news, and trends in real-time to generate actionable insights. This means you’re not just relying on surface-level data but getting an in-depth understanding of what’s really happening in the market and how it could affect your investments.
10. Behavioral Bias Control: Human emotions can play a significant role in investment decisions, often leading to bias that may harm the portfolio. Whether it’s panic selling or getting overly confident during a market boom, AI isn’t swayed by emotions. Its decisions are based purely on data, helping to eliminate the kind of behavioral biases that can negatively affect performance.
11. Portfolio Diversification Made Simple: Diversifying your portfolio to minimize risk can be complicated and time-consuming. AI helps by suggesting optimal asset allocations based on data analysis. It can instantly suggest the best mix of stocks, bonds, real estate, or other asset types, ensuring that the portfolio maintains a proper balance to achieve steady growth while managing risk.
12. Advanced Predictive Capabilities: One of the most powerful features of AI is its ability to predict future market trends. By analyzing historical data and recognizing emerging patterns, AI can offer forecasts on asset performance, helping you plan for the future. While predictions aren't guaranteed, they are often more accurate than those made by traditional analysts due to the volume of data AI can process.
13. Automated Rebalancing: Managing a portfolio often involves periodically rebalancing to ensure it stays aligned with your risk profile and goals. AI automates this process, adjusting your portfolio automatically when it strays from the desired asset allocation. This hands-off approach ensures that your portfolio remains optimized without requiring constant attention.
14. Transparent Reporting: AI portfolio management software provides detailed, easy-to-understand reports that give you full transparency into how your investments are performing. These reports help investors track the progress of their goals, analyze how strategies are working, and stay informed about any changes in the portfolio. This level of transparency ensures you’re always in control of your investments.
15. Enhanced Tax Efficiency: Tax laws can complicate investment strategies. AI can analyze your portfolio and suggest actions that improve tax efficiency, such as tax-loss harvesting. This process helps reduce tax liabilities by offsetting gains with losses, potentially saving you a significant amount of money each year.

What Types of Users Can Benefit From AI-Powered Portfolio Management Software?

• DIY Investors: People who manage their own investments can really get a lot out of AI tools. These investors may not have the time or resources to dig through mountains of data, but AI can help them make better decisions by analyzing the market, tracking trends, and giving insights on what’s working and what’s not. It’s like having a personal assistant that makes sense of the complex stuff.
• Financial Advisors and Planners: For financial advisors who guide clients through their investment choices, AI tools can be a game-changer. These advisors can use AI to generate strategies tailored to individual client needs, improve accuracy in predicting returns, and offer better advice based on data-driven insights. It helps them provide high-quality service while staying on top of all the details.
• Trading Firms: Companies that rely on high-frequency trading or algorithmic strategies can benefit from AI’s speed and precision. AI can process massive amounts of data in real time, helping these firms make quicker decisions, adjust portfolios instantly, and manage risks more effectively. It gives them an edge in the fast-moving world of trading.
• Private Wealth Managers: Wealth managers handling portfolios for high-net-worth individuals can use AI to automate many of the tasks that come with managing diverse, complex investments. From fine-tuning risk management strategies to balancing diverse asset types, AI tools help keep everything in check and provide more accurate projections for future growth.
• Venture Capitalists and Angel Investors: For investors looking to back startups or emerging companies, AI helps them assess the potential of early-stage investments. AI can identify trends, analyze data, and highlight potential risks and rewards, making it easier to pinpoint the companies that could be the next big thing in tech, healthcare, or other sectors.
• Corporate Finance Teams: Teams within companies that handle financial decisions can use AI to optimize corporate portfolios, manage cash flow, and decide on where to allocate capital. AI tools can also help streamline budgeting and forecasting, allowing finance teams to focus more on strategy and less on repetitive tasks.
• Insurance Companies: Insurers managing large investment portfolios can leverage AI to balance risk and return. AI can assess market trends, adjust portfolios to mitigate risk, and ensure the company’s investments align with both short-term and long-term financial goals. This tech helps insurers stay ahead of market shifts and protect their bottom line.
• Risk Management Specialists: Professionals whose job it is to evaluate and reduce financial risks benefit greatly from AI. AI-powered software can quickly process financial data, simulate various market conditions, and provide forecasts to show how different assets and strategies might perform in the face of potential risks.
• Family Offices: These are private firms that manage the wealth of wealthy families. Family offices use AI to help with managing investments across generations, ensuring the family’s wealth is growing and staying protected. The ability to create customized, data-driven strategies helps keep everything aligned with the family’s long-term goals.
• Banks Offering Investment Services: Banks that offer investment services to their clients are using AI to stay competitive. AI helps banks manage portfolios at scale, ensuring that investments are diversified, risks are minimized, and client needs are met. It’s a powerful tool for enhancing customer service and improving investment performance without requiring more human resources.
• Public Pension Funds: Large public institutions like pension funds use AI to manage billions in assets. AI assists by analyzing huge datasets, predicting future trends, and improving asset allocation. This ensures that pension funds can meet their future obligations to retirees while maximizing returns and minimizing risks.
• Fintech Startups: Fintech companies that are disrupting traditional finance benefit from AI in their portfolio management offerings. They use AI to create innovative investment products, streamline portfolio optimization, and bring cutting-edge, accessible solutions to the market. AI gives these startups a tech-forward approach to managing assets and making smarter decisions.
• Institutional Investment Managers: Managers who handle large portfolios for institutions like endowments, foundations, and large corporations often use AI tools to optimize performance. AI’s ability to sift through large amounts of data and provide actionable insights helps these professionals make better long-term decisions, balancing risk with the need for steady returns.
• Regulatory and Compliance Teams: In financial institutions, compliance teams use AI-powered tools to monitor portfolios for regulatory adherence. AI helps by flagging potentially problematic trades, ensuring all investments follow legal guidelines, and generating reports to show transparency in investment practices.
• Economic Forecasting Analysts: Analysts who study economic trends and market behaviors can use AI to improve the accuracy of their predictions. By leveraging AI tools, they can analyze past data, monitor real-time market movements, and simulate potential future scenarios to better inform their analysis and forecasting.

How Much Does AI-Powered Portfolio Management Software Cost?

AI-powered portfolio management software comes in a wide range of prices depending on what kind of tools and services you need. For smaller investors or boutique firms, the cost typically falls between $500 and $10,000 per year, with many providers offering subscription models. These subscriptions may cover basic AI features like portfolio analysis, risk assessments, and automated reporting. However, if you're looking for something more advanced with capabilities like predictive modeling, real-time market tracking, and detailed asset optimization, the price can jump up significantly. For larger investment firms or wealth managers, the costs can be much higher, often running into tens of thousands or even hundreds of thousands of dollars annually, especially if you need custom solutions or extra support.

If you're considering a cloud-based platform, you can usually expect more flexibility, but it may come with a higher long-term cost. On the other hand, if you're opting for an on-premise solution, you may face upfront costs that include installation and ongoing maintenance, but there might be fewer ongoing fees. Custom-built AI systems tailored to specific business needs are the most expensive by far, requiring both significant development and implementation costs. Ultimately, how much you'll pay depends on the scale of the software, the level of sophistication you want, and whether you're looking for a basic tool or a full-scale, tailored solution for complex portfolio management.

What Does AI-Powered Portfolio Management Software Integrate With?

AI-powered portfolio management software can connect with various tools to make the entire investment process smoother and more efficient. For instance, when combined with financial planning software, AI can help create more detailed investment strategies by considering both a client's immediate financial goals and long-term aspirations. This helps advisors offer tailored advice that goes beyond just managing assets, factoring in things like future cash flow needs and lifestyle changes. Pairing this with customer relationship management (CRM) software also ensures that important client interactions are logged and tracked, giving advisors a better understanding of clients' preferences and communication history for more personalized service.

Another key integration is with accounting systems, which helps ensure that every transaction and tax report aligns with what's happening in the portfolio. This ensures consistency and accuracy across the board, saving time on manual reconciliations. Trading platforms are also an essential part of the mix because they let AI systems automatically execute trades in real-time based on market signals or algorithmic analysis. Additionally, connecting with market data providers, analytics tools, and risk management software ensures that the portfolio is constantly updated with the latest market trends, helping mitigate risks and seize opportunities. With all these systems working together, AI-driven portfolio management becomes a comprehensive solution for managing investments more effectively.

AI-Powered Portfolio Management Software Risks

• Over-Reliance on Algorithms: AI systems make decisions based on patterns and historical data, but that doesn’t guarantee future performance. Investors may over-rely on AI’s predictions, which can backfire if the market experiences an unexpected shift. AI might fail to account for sudden, unanticipated events that could cause significant losses.
• Lack of Transparency: Many AI algorithms are designed as "black boxes," meaning the reasoning behind their decisions isn’t always clear. If a portfolio manager can't understand how the AI reached a specific conclusion, they might not be able to explain it to clients, which could be a problem if things go wrong.
• Model Risk: AI-driven models are only as good as the data they’re trained on. If the training data is flawed, incomplete, or biased, the model may produce poor investment decisions. Inaccurate data or flawed assumptions can lead to unintended risks in portfolio management.
• Cybersecurity Threats: AI systems often handle vast amounts of sensitive financial data, making them attractive targets for hackers. If an AI system is compromised, investors' personal and financial information could be at risk, leading to potentially disastrous outcomes.
• Market Manipulation and "Flash Crashes": AI algorithms can sometimes trigger "flash crashes" due to rapid, automated trading. These sudden price drops, often caused by algorithms reacting to each other in unpredictable ways, can severely disrupt markets. Without proper safeguards, AI-driven systems could contribute to these volatile situations.
• Inability to Adapt to Unstructured Data: While AI can analyze structured data (like numbers and statistics) well, it may struggle to interpret unstructured data (like emotional tone or geopolitical factors). Important factors like investor sentiment, political events, or social trends might not be fully understood by an AI system, potentially leading to missed opportunities or bad decisions.
• Algorithmic Bias: Like all AI, portfolio management software can inherit biases from the data it processes. If the data used to train an AI system has biases, the AI could reinforce those biases in its investment decisions. This can lead to unfair or suboptimal outcomes, especially if the model favors certain assets or sectors over others without just cause.
• Regulatory and Compliance Risks: As AI-driven tools become more common, regulations around their use are still catching up. Investors may face regulatory risks if they’re using AI software that doesn’t fully comply with local laws or industry standards. Non-compliance could result in penalties or legal issues down the line.
• Cost of Maintenance and Updates: AI systems require constant maintenance to stay effective. Over time, the model may need updates to remain relevant as market conditions change or as new data sources emerge. Failing to update an AI portfolio management tool regularly could cause it to underperform or become obsolete.
• Lack of Human Judgment: AI can be very data-driven, but it doesn't have the intuition, experience, or context that a seasoned human investor brings to the table. In complex or ambiguous situations, human judgment often plays a crucial role, and AI may miss the nuances that an experienced advisor would consider. Without that human touch, some investment decisions could end up being shortsighted or overly rigid.
• Over-Optimization: AI systems are designed to maximize returns, but they might optimize too aggressively, leading to strategies that take on more risk than is acceptable for an investor. If an AI system over-optimizes based on past data without considering broader market conditions or an investor’s specific needs, it could create a portfolio that’s too volatile or risky.
• Exposure to Systemic Risk: If too many financial institutions use similar AI algorithms, it could lead to systemic risks. The algorithms might all react to the same market signals in the same way, amplifying the impact of certain events or market trends and leading to broader financial instability.
• Human Error in AI Setup: The way AI systems are set up and configured plays a huge role in their effectiveness. Poor setup or inadequate training can lead to underperformance or undesirable results. If portfolio managers or developers don’t set the AI correctly or feed it bad inputs, the system’s outputs will be flawed.
• Limited Emotional Intelligence: AI lacks emotional intelligence, meaning it cannot factor in psychological aspects that may influence markets. Market movements are often driven by human behavior—fear, greed, uncertainty—none of which AI can truly understand. As a result, AI systems may miss important market signals that human intuition would catch.
• Data Privacy Concerns: Portfolio management software gathers sensitive personal information to create tailored investment strategies. This opens up potential privacy concerns if that data isn’t handled properly or if the system’s security is compromised. Protecting personal financial data should be a priority, but breaches can happen.

Questions To Ask Related To AI-Powered Portfolio Management Software

1. What type of AI algorithms does the software use, and how does it improve my portfolio's performance? You want to get an understanding of the AI technology driving the software. Different platforms might use machine learning, deep learning, or other advanced algorithms. Knowing which AI models are behind the decision-making process can give you insight into how the software analyzes market data and makes predictions. You want to be sure that it offers real improvements and helps optimize returns.
2. How does the software adapt to market changes or volatility? Markets are always shifting, and AI-driven platforms need to react to those changes effectively. Ask how the system handles market downturns, sudden volatility, or other major shifts in the economy. A good AI portfolio manager should adjust risk profiles, asset allocation, and investment strategies based on real-time data and trends.
3. Can the software accommodate my unique investment strategy and goals? Everyone’s investment strategy is different. Whether you're into long-term growth, dividend income, or short-term trading, the software should be flexible enough to work with your approach. Ask if it can tailor the portfolio to your preferences, adjusting for things like risk tolerance, time horizon, and specific asset allocations.
4. How transparent is the AI’s decision-making process? It’s important to understand how the AI arrives at its decisions. Does the software give you a clear explanation of why certain trades were made or why specific stocks are recommended? Transparency is key because you need to trust the system and feel confident that it's making choices that align with your investment goals.
5. What kind of customer support is available, especially for troubleshooting or technical issues? AI-powered systems can get complex, and when things go wrong, you’ll want reliable customer service. Ask about the support options available—whether you can reach them by phone, chat, or email—and what their typical response time is. Also, inquire about the quality of their support, whether they have experts on hand who can explain complex issues.
6. How secure is my data, and what kind of security features are in place? Given that you’re sharing sensitive financial information, ensuring the platform has robust security measures is crucial. Ask about the encryption standards used, how your data is stored, and what measures are in place to prevent breaches. Cybersecurity is an ongoing concern, and the software should offer regular updates and monitoring to protect your investments.
7. Does the software integrate with other financial tools I’m already using? If you’re using other tools for budgeting, tax planning, or tracking your financial health, it’s worth checking if the portfolio management software integrates with those tools. This will allow for a more streamlined experience and ensure all your financial information is in one place, helping you make better overall decisions.
8. What are the fees associated with the software, and are there any hidden costs? AI-powered platforms often come with a range of costs, from subscription fees to transaction fees or other service charges. Make sure you understand how the pricing works, and ask about any hidden costs or extra charges that could crop up as you use the platform. Understanding the full scope of fees will help you assess whether the software provides good value for your money.
9. How does the platform handle risk management? Risk management is a vital component of successful portfolio management. You should inquire about the tools and features the software uses to help manage risks. Does it offer automatic risk adjustments or set stop-loss triggers to protect against significant losses? Understanding how the system handles risk can help you assess whether it matches your risk tolerance.
10. Can I easily monitor and adjust my portfolio? Even though the software is powered by AI, you’ll still want to be involved in decisions. Ask how easy it is to view your portfolio’s performance and make manual adjustments if necessary. Some platforms offer detailed dashboards and reports that let you track real-time performance, while others might offer more limited options. Make sure you’re comfortable with how you can stay in control.