Why rising client expectations, AI in portfolio management, product complexity, and shifting market dynamics are raising the bar.
Client expectations in wealth management are rising. Markets are shifting quickly, product complexity remains high, and the traditional portfolio playbook no longer feels as reliable as it once did. At the same time, wealth managers, private bankers, auditors, and controllers are expected to combine technical depth with clearer client communication, stronger suitability discipline, and better decision-making under uncertainty.
That is precisely why Progressive Wealth Management, the Amsterdam Institute of Finance program taught by Patrick Oberhaensli, speaks directly to current market needs. A financial expert with more than 30 years of experience across banking, structured products, advisory, and education, Oberhaensli argues that wealth professionals need a far more rigorous grasp of products, portfolio construction, risk, and implementation than many firms still assume.
In this interview, he reflects on why hyper-personalization has become the new baseline, where professionals still misjudge risk and client constraints, and why AI can strengthen portfolio management only if governance remains strong.
“AI should be positioned as a controlled enhancement of the investment and advisory process, not as an opaque black box overruling human judgment.”
– Patrick Oberhaensli, CFA, Founder/CEO EVOLIDS FINANCE LLC
Hyper-personalization is becoming the baseline
For Oberhaensli, the urgency starts with the client. Progressive Wealth Management is highly relevant today, he says, because client expectations have evolved toward more personalized service that demands both expertise and transparency at the client interface. The hybrid human-digital delivery model has become “a baseline expectation rather than a differentiator.” What now distinguishes firms, in his words, are “sophisticated, tailored solutions combined with an engaging client experience.”
“AI-enabled capabilities, especially in portfolio management, are essential to achieve this level of hyper-personalization across hundreds of clients while maintaining robust risk management and Investment Policy Statement, or IPS, and regulatory discipline,” he argues. “AI supports real-time risk monitoring, dynamic rebalancing, tax-aware and ESG-aware implementations, and better explanations for clients.” Those capabilities, he notes, are becoming standard expectations in competitive wealth markets.
Why risk tolerance, yield-chasing, and weak IPS design still matter
Yet if client expectations are becoming more demanding, many advisory mistakes remain stubbornly familiar. In practice, Oberhaensli sees three recurrent families of mistakes.
One of the most common is misdiagnosed risk tolerance. “Both risk willingness and risk capacity must be properly assessed,” he explains. “And through education, the client’s risk willingness should ideally be aligned with their actual risk capacity.” He also notes that liquidity constraints are often overestimated, which leads to an underestimation of the true investment horizon for part of the portfolio. The result is that private markets tend to be underrepresented.
Another persistent issue is the hunt for yield. “In low-yield currencies such as the Swiss franc, where risk-free rates remain near or below zero depending on maturity, investors often overweight asset classes that seem to offer better returns.” As a striking example, he points to Swiss residential real estate, which provides higher yields with seemingly low volatility.
A third weakness lies in the Investment Policy Statement (IPS) itself. If the IPS is not properly defined, the risk of suitability issues increases significantly. “That can lead to portfolios containing products that are misaligned, delivering insufficient returns for the level of risk taken.”
“The hybrid human-digital delivery model has become a baseline expectation rather than a differentiator.”
When product design becomes an advisory insight
The Progressive Wealth Management program spans everything from core asset classes and derivatives to funds, structured products, and operations. One of the program’s standout moments, according to Oberhaensli, comes when participants discover that he “created one of the most successful structured products, the Reverse Convertible.”
The second part of that realization, he says, comes when he explains how such a product was developed. Developing it required more than engineering alone. “It was a combination of deep understanding of investor needs and strong technical expertise in derivatives. The Reverse Convertible allowed, for the first time, efficient and effective implementation of a stable mid-term market view.”
AI in portfolio management: opportunity with strong governance
AI is already creating near-term value in portfolio management, but its real effectiveness depends on how well firms combine innovation with governance, explainability, and model-risk oversight. Oberhaensli identifies three areas in which AI is already creating the most immediate value in portfolio management:
1. Signal and risk analytics:
“Where AI supports pattern detection in large datasets, nonlinear risk identification, early-warning indicators, and scenario generation that go beyond traditional VaR or linear factor models.”
2. Implementation and monitoring:
“Including automated rebalancing, ESG and constraint checks, best-execution support and real-time alerts for breaches or unusual behavior.”
3. Client-facing intelligence:
“Personalized reports, natural-language explanations, and automatically generated portfolio review narratives that are consistent, fast, and tailored to each client’s goals and risk profile.”
At the same time, he stresses that this only works with strong model-risk governance in place. In practice, that means maintaining a clear, company-wide inventory of AI models, including their purposes, owners, and criticality, alongside documented data lineage, validation, and performance monitoring, including bias tests, stability checks, and challenger models.
It also requires human-in-the-loop decision frameworks in which the advisor remains accountable, supported by explainability standards so recommendations can be understood, challenged, and defended to clients and regulators.
He sums it up sharply: “AI should be positioned as a controlled enhancement of the investment and advisory process, not as an opaque black box overruling human judgment.”
The market lesson many professionals still underestimate
For a recent market moment that sharpened his thinking, Oberhaensli points to 2022. “U.S. mid-caps fell more than 19%, very long-duration U.S. Treasuries dropped over 31% and had still not recovered from their 2020 highs, and even gold delivered slightly negative returns. This simultaneous drawdown across major asset classes, though not unprecedented, came as a surprise to many after decades of steady bond rallies. Suddenly, the classic 60/40 model portfolio was called into question.”
The answer, in his view, lies in optimal asset allocation, one that potentially includes Managed Futures, which performed strongly in both 2022 and 2008 during the Global Financial Crisis. “Instead of a traditional static asset allocation, a more advanced, views-oriented model could be considered.”
Oberhaensli’s closing observation reveals a great deal about where wealth management is heading. The challenge is no longer simply to know the products. It is to build portfolios, frameworks, and advisory processes that can withstand a more complex and less forgiving market environment.
Read more: Patrick Oberhaensli: ‘The key to effective financial risk management is front experience.
Meet the expert
Patrick Oberhaensli, CFA, Founder/CEO EVOLIDS FINANCE LLC
Patrick Oberhaensli is a financial expert with over 30 years of experience in banking and finance. He is the Founder and CEO of EVOLIDS FINANCE LLC, a finance-related services firm. Since 2009, Oberhaensli has taught finance professionals in specialized areas including CFA and CAIA exam preparation, and he also teaches at EDHEC and SKEMA Business Schools. Among the very first to receive the CAIA designation in 2003, he has also organized highly successful CAIA events in Zurich for a number of years. He holds a Master’s degree from the Swiss Federal Institute of Technology and is also a CFA, CAIA, CMT, FRM, PRM, ACI Diploma and ERP charter holder. More recently, he obtained the CFA Institute’s Certificate in ESG Investing.
Discover Patrick Oberhaensli’s expertise and programs
Program highlight: Progressive Wealth Management
Build a rigorous understanding of today’s investment landscape, from core asset classes and derivatives to structured products, portfolio management, risk-adjusted performance, and AI in portfolio management. The program combines technical depth with practical insight for professionals working in wealth management, private banking, audit, controlling, and advisory.
Explore the program or contact AIF for personal advice: +31 20 246 7140 | info@aif.nl