Michael Zagari, an Investment Advisor and Portfolio Manager at Wellington-Altus Private Wealth in Montreal, has emerged as an insightful voice in the rapidly evolving landscape of artificial intelligence within the wealth management sector. Since late 2022, Zagari has been an early adopter and active user of generative AI tools, leveraging them to enhance his practice and cultivate a discerning perspective on the latest technological offerings. His journey from initial experimentation with AI as a communication aid to its integration across nearly all facets of his work offers valuable lessons for advisors seeking to harness AI’s potential while maintaining a critical and client-centric approach.
The adoption of AI in financial services, particularly in wealth management, has been a subject of intense discussion and rapid development over the past few years. The initial wave of generative AI tools, capable of understanding and producing human-like text, opened up new avenues for automation and efficiency. For advisors like Zagari, this presented an opportunity to reimagine workflows and client engagement strategies. His proactive embrace of these technologies, beginning with simple tasks like email editing and drafting, underscores a forward-thinking mindset crucial for navigating an industry increasingly influenced by digital transformation.
The Genesis of AI Integration: From Communications to Comprehensive Support
Zagari’s initial foray into AI was primarily focused on streamlining communication. He recognized the potential for large language models to refine his written correspondence, ensuring clarity, conciseness, and a professional tone. This foundational step, however, quickly expanded as he witnessed firsthand the productivity gains and broadened applications of AI. What began as a tool for polishing emails evolved into a sophisticated assistant, integrated into numerous aspects of his daily operations.
"It sounds cliché but [AI] allows me to scale the business," Zagari explained. "It literally does because I’m scaling it from a relationship-based perspective where I’m having close relationships. But it doesn’t matter how many relationships you tag on to the practice, the quality of the relationships stay there because I’m able to scale it properly with the tools I have." This sentiment highlights a key benefit of AI for advisors: the ability to enhance client relationships by freeing up time previously spent on administrative tasks, thereby allowing for deeper engagement.
The ripple effect of this enhanced efficiency has, according to Zagari, fostered a organic growth model. "Incorporating AI into our service has created a word-of-mouth referral system where I’m building assets and the clients are growing organically." This suggests that improved service delivery, driven by AI-enabled efficiencies, can directly translate into client satisfaction and subsequent business development.
Expanding the AI Horizon: From Scheduling to Sophisticated Research
Zagari’s AI integration has extended far beyond basic communication enhancements. He has actively incorporated AI automations into his daily workflow, focusing on areas that demonstrably improve efficiency and decision-making. This includes leveraging AI-powered tools for meeting scheduling, calendar management, and even sophisticated investment research.
One significant area of AI application for Zagari is in investment analysis. Through his Bloomberg terminal, he utilizes a tool called ASKB, which integrates an AI chatbot with Bloomberg’s extensive financial data. This enables him to pose complex questions in plain language, receiving AI-generated answers derived from a vast repository of market information. This capability is particularly powerful for tasks such as analyzing earnings calls. For instance, Zagari can use ASKB to extract key information from the Q1 and Q2 earnings calls of a specific company, such as a small modular reactor firm, and then instruct the AI to identify critical differences in stated goals and delivery. This level of nuanced research, previously time-consuming, can now be performed with greater speed and precision, offering a distinct advantage in portfolio management.
The impact of AI on research capabilities is a growing trend across the financial industry. A report by McKinsey & Company noted that AI has the potential to significantly augment human capabilities in areas like data analysis and pattern recognition, leading to more informed investment decisions. Zagari’s practical application of ASKB exemplifies this trend, showcasing how AI can transform the way financial professionals interact with and interpret complex data.
Marketing and communications also continue to be a fertile ground for AI adoption. Beyond copy editing and translation, Zagari utilizes AI to assist in drafting presentations, developing slide decks, and consolidating key messaging points. These applications are designed to save valuable time, which can then be reallocated to direct client interaction and relationship building, a cornerstone of successful wealth management.
The Crucial Caveat: When AI Needs a Human Touch and How to Vet Vendors
While Zagari is a strong proponent of AI, he emphasizes that its implementation requires a nuanced understanding of its limitations and a steadfast commitment to client-centricity. He cautions against the wholesale automation of client interactions, particularly for those who prefer traditional communication methods.
"AI-powered communication requires a human touch," Zagari stressed. He illustrated this point with the example of clients who invariably prefer a phone call. Simply providing them with an automated scheduling link, he argues, would not foster a sense of being well-served. This underscores the importance for advisors to discern when to employ traditional methods to best meet client needs, even in an AI-augmented environment. This principle aligns with industry observations that while AI can enhance efficiency, the human element of trust and personalized care remains paramount in wealth management.
Furthermore, Zagari advocates for a rigorous approach to verifying AI outputs. He highlights the critical need for fact-checking and clear sourcing of any AI-generated content. Challenging AI models on their generated responses can often reveal errors or inaccuracies. He also suggests that AI models can be trained to provide more critical and less "sycophantic" feedback, making them more valuable as analytical tools rather than simple validators of existing ideas. The ultimate test, for Zagari, is whether AI-generated content enhances or diminishes clarity for the client. While AI outputs may appear impressive, the primary objective should always be clear and understandable communication.
This critical evaluation extends to the AI tools that vendors offer. Zagari’s approach to vetting these tools is systematic and focused on practical integration and client benefit. He notes that decisions regarding operational AI tools are often made at a dealer level, but these decisions should prioritize how any new AI solution integrates with existing technology stacks. Many AI vendors, he observes, focus their marketing efforts on lead generation tools. Zagari, however, approaches such tools with extreme caution, describing them as something to be avoided "like the plague." His rationale is rooted in the potential for these tools to create an impersonal impression of his practice, which is the antithesis of his client service philosophy.
The Imperative of Authenticity in the Age of AI
Zagari’s core message resonates with the enduring importance of authenticity in the advisory profession. While AI offers powerful tools for efficiency and enhanced analysis, it should serve as an augmentation, not a replacement, for genuine human connection.
"Be authentic, be real. Use AI as an enhancement, not as a replacement in your practice," Zagari advises. This philosophy suggests that the future of wealth management lies in a symbiotic relationship between cutting-edge technology and the irreplaceable value of human expertise, empathy, and trust. As the industry continues to grapple with the implications of AI, Zagari’s pragmatic and client-focused approach provides a valuable framework for advisors navigating this transformative era. The successful integration of AI, he implies, will be measured not just by technological adoption, but by its ability to deepen client relationships and uphold the core values of personalized financial guidance.
