For Citi's wealth management services, should we focus on developing AI-driven robo-advisors or investing in human financial advisors?

Introduction

For Citi's wealth management services, we're facing a critical decision between developing AI-driven robo-advisors or investing in human financial advisors. This trade-off involves balancing technological innovation with the personal touch of human expertise in financial advisory services. I'll analyze this decision through the lens of product strategy, user experience, and business impact.

Step 1

Clarifying Questions (3 minutes)

• Based on recent market trends, I'm thinking robo-advisors might be gaining traction. Could you share any data on the current adoption rates of robo-advisors among our target demographic?

Why it matters: Helps gauge market readiness and potential user acceptance. Expected answer: Moderate adoption, growing among younger investors. Impact on approach: Higher adoption would favor robo-advisor development.

• Considering our revenue model, I assume we charge a percentage-based fee on assets under management. Is this correct, and are there any differences in fee structures between human advisors and potential robo-advisors?

Why it matters: Directly impacts the financial viability of each option. Expected answer: Yes, with potentially lower fees for robo-advisors. Impact on approach: Would influence the cost-benefit analysis of each option.

• Looking at user behavior, I'm curious about the frequency and nature of client-advisor interactions. How often do clients typically engage with their human advisors, and what are the most common reasons for these interactions?

Why it matters: Helps understand the value clients place on human interaction. Expected answer: Monthly check-ins, more frequent during market volatility. Impact on approach: High engagement might favor human advisors.

• From a technical perspective, I'm wondering about our current AI capabilities. Do we have the in-house expertise to develop sophisticated robo-advisor algorithms, or would we need to partner or acquire this technology?

Why it matters: Affects feasibility and time-to-market for robo-advisor option. Expected answer: Some capabilities, but would require significant investment. Impact on approach: Limited capabilities might favor human advisor focus.

• Regarding timeline, is there any urgency driving this decision, such as competitive pressures or upcoming regulatory changes?

Why it matters: Influences the speed and scale of implementation. Expected answer: Increasing competition from fintech startups. Impact on approach: High urgency might favor faster-to-implement option.