Robo-Advisory Services

Robo-advisors were supposed to be the future of investing. We believed that too when we launched Sarwa. But here’s what the last few years taught us , and why we evolved. From Ellevest selling to Betterment, to SixPark shutting down, to Wealthsimple pulling out of the US and UK…Even Wealthfront taking 14 years and $50 billion in assets to finally reach profitability. What went wrong? 1. They all looked the same Most robos offered the same 60/40 ETF portfolios. Low-cost, passive, and nearly identical. 2. The math didn’t work They spent like consumer brands but earned like utilities. Thin margins. Slow growth. Acquisition costs that only made sense in bull markets. 3. They misunderstood emotion Set it and forget it sounded smart. But money is emotional. Clients didn’t want to hear "do nothing" during market crashes. They wanted education, support, and someone to talk to. Clients weren't afraid, and saw opportunities. 4. They stopped building After launch, many robos froze. No new tools. No product velocity. No crypto. No options trading. No private markets. 5. They underestimated retail investors Robos assumed people wanted to sit in the back seat. But most wanted the wheel. Some automation, yes. But not blind autopilot. They wanted to learn, act, and take control. At Sarwa, we pioneered and still offer automated investing, and it works wonders for many clients. But we also saw the limits of robo-only models. So we built on top of it. - We added relationships. Expert advice from licensed professionals. Community events. - Trading tools. - New asset classes. We gave people more control and better ways to take action. What I learned along the way: 1) Don’t assume you know what customers want. Talk to them early and often. 2) Be ready to let go of the original idea. 3) Speed and feedback matter more than polish. Ship fast. Learn faster. We used to think automation was the product. Turns out, it was empowerment. Give customers the wheel. Our job is to build the best car.

𝐀𝐧𝐨𝐭𝐡𝐞𝐫 𝐁𝐢𝐠 𝐁𝐚𝐧𝐤 𝐄𝐱𝐢𝐭𝐬 𝐭𝐡𝐞 𝐑𝐨𝐛𝐨 𝐆𝐚𝐦𝐞—𝐈𝐬 𝐭𝐡𝐞 𝐄𝐫𝐚 𝐨𝐟 𝐏𝐮𝐫𝐞 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐀𝐝𝐯𝐢𝐜𝐞 𝐃𝐞𝐚𝐝? UBS is shutting down its robo-advisor, UBS Advice Advantage, this month. That makes three major exits in under 12 months— Goldman Sachs, JPMorganChase, and now UBS —all backing away from the direct-to-consumer digital advice model they once pitched as the future. 📉 𝐓𝐫𝐞𝐧𝐝 𝐨𝐫 𝐓𝐫𝐨𝐮𝐛𝐥𝐞? UBS had already closed new robo accounts back in March. Now it’s winding down the entire platform. This follows UBS’s failed 2022 bid to acquire Wealthfront for $1.4B—a deal that would’ve put it ahead of most traditional firms in the space. Their original robo launched in 2018 with help from SigFig, but it never gained meaningful scale. 📊 𝐃𝐚𝐭𝐚 𝐃𝐨𝐞𝐬𝐧’𝐭 𝐋𝐢𝐞 Global robo AUM hit ~$1.8T in 2025—but most of that is concentrated in just a few hybrid models. Vanguard Personal Advisor Services has $344B AUM vs. only $21B for its pure digital offering. Client behavior is clear: automation is great, but they still want a human involved. 🔀 𝐑𝐞𝐭𝐫𝐞𝐚𝐭 𝐨𝐫 𝐑𝐞𝐜𝐚𝐥𝐢𝐛𝐫𝐚𝐭𝐢𝐨𝐧? Goldman Sachs sold off Marcus Invest accounts to Betterment. Ellevest handed off its automated investing clients to Betterment as well. Meanwhile, Robinhood launched its own version of a robo, blending active stock strategies with automation—proving there’s still room for creative models. ⚠️ 𝐖𝐡𝐚𝐭 𝐓𝐡𝐢𝐬 𝐌𝐞𝐚𝐧𝐬 Robo isn’t “dead”—but it’s no longer a standalone business. It’s a feature, not a strategy. The hybrid model isn’t just winning—it’s defining the category. Advisors and firms need to stop viewing robos as competitors and start treating them as components of a broader digital-first client experience. 📌 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Don’t chase scale with a stripped-down robo. Run your advisory business like a high-efficiency operating platform—with automation where it matters and human insight where it counts. #wealthmanagement #financialadvisors #financialplanning #technology #artificialintelligence #digitaladvice #roboadvisor #RIAtech #wealthtech

🤖 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗥𝗼𝗯𝗼-𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘀: 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗸𝗻𝗼𝘄, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘄𝗲 𝗱𝗼𝗻’𝘁 𝗸𝗻𝗼𝘄!   I am happy to share my new working paper “𝙁𝙞𝙣𝙖𝙣𝙘𝙞𝙖𝙡 𝙍𝙤𝙗𝙤-𝘼𝙙𝙫𝙞𝙨𝙤𝙧𝙨: 𝘼 𝘾𝙤𝙢𝙥𝙧𝙚𝙝𝙚𝙣𝙨𝙞𝙫𝙚 𝙍𝙚𝙫𝙞𝙚𝙬 𝙖𝙣𝙙 𝙁𝙪𝙩𝙪𝙧𝙚 𝘿𝙞𝙧𝙚𝙘𝙩𝙞𝙤𝙣𝙨” co-authored with Mustafa Nourallah, PhD, Peter Öhman, and Duc Khuong Nguyen. Financial Robo-Advisors (FRAs) enable households to participate in financial markets with a limited amount of money and without time or place constraints. While FRAs can help investors overcome behavioural biases, they also have disadvantages, such as relying on a limited number of inputs and lacking individualization. We conducted a systematic literature review on the nascent research on FRAs to synthesize previous research results. We identify two streams of literature: (1) 𝗮𝘀𝘀𝗲𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, which focuses on designing FRAs and improving the functioning of these machine advisors, and (2) 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝗮𝗹 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, which investigates technology adoption and issues related to biased advice. Among other topics, future research should address 𝙬𝙝𝙮 𝙁𝙍𝘼𝙨 𝙙𝙤 𝙣𝙤𝙩 𝙖𝙥𝙥𝙚𝙖𝙡 𝙩𝙤 𝙡𝙚𝙨𝙨 𝙛𝙞𝙣𝙖𝙣𝙘𝙞𝙖𝙡𝙡𝙮 𝙡𝙞𝙩𝙚𝙧𝙖𝙩𝙚 𝙥𝙚𝙤𝙥𝙡𝙚, who likely would benefit more than others from using FRAs and 𝙩𝙝𝙚 𝙞𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣 𝙤𝙛 𝙇𝙖𝙧𝙜𝙚 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙈𝙤𝙙𝙚𝙡𝙨 𝙖𝙣𝙙 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 to enhance user interaction. 👉 Link to the working paper on SSRN: https://lnkd.in/gT6vxPNt

A 24-year-old in Srinagar or Salem can enter income, age, and goals into a phone app and get a portfolio recommendation in seconds. Most revolutions in finance don’t announce themselves with noise. They slip quietly into the apps on your phone. Robo-advisory is one of them. A few years ago, investment advice meant face-to-face meetings, paper files, and a “trusted uncle” figure who guided families. And today Robo- finance is on the edge. That’s not just speed. That’s access. It matters in a country where less than 3% of people invest in equity, and financial literacy is still uneven. Robo-advisors can scale advice at a fraction of the cost. They can rebalance portfolios on time. They don’t carry bias about which product pays higher commission. But finance is not only maths. It is also emotion. It is family obligations that stretch across three generations. It is fear when markets fall, and discipline when greed takes over. And no algorithm can sit with a retiree and explain why not touching their emergency fund matters more than chasing the latest IPO. So here’s where I believe the opportunity lies. Use machines to democratise advice, cut cost, and widen inclusion. Use humans to contextualise risk, build trust, and guide behaviour. Leaders who design systems blending the two will redefine wealth management for India’s next decade. Not man versus machine. But precision plus perspective. What would you trust with your family’s money speed alone, or speed combined with wisdom? #Finance #Leadership #WealthManagement #FutureOfWork

The whole “robo lost the war to human advisers” narrative is one of the most revealing tells in our industry. It’s not that robo-advice failed. It’s that once you automate the traditional advice process, you expose how thin the "core value" actually is. Robo did a brutally honest thing: it took the visible bits advisers claimed as their value, risk profiling, asset allocation, rebalancing, product selection, and showed that, when you strip away the coffee, charisma and sales theatre, those elements are largely commoditised. 💰The fact that clients still "prefer" humans doesn’t prove the old process was strong; it proves that what made it tolerable was relationship, narrative and emotional containment layered on top of a weak underlying engine.💰 So this so‑called “lost war” is really a diagnostic: ➡️. It shows that a lot of advice was distributed and implemented under the guise ofstrategy. ➡️. It highlights that the real value lies in behaviour, decision architecture and household context, not in picking a balanced fund and generating a glossy SOA. ➡️. It forces the industry to confront that if all you offer is what a robo can automate, you "should" be worried. What has to change (and is starting to) is the core brief: from “build and maintain a portfolio” to “identify and systematically close the gap between what this household "should" do and what they "actually will" do.” Robo v3 is not about scaling the old process. It’s about using data, behavioural insight and intelligent triage to: ➡️. Understand how specific clients really behave under uncertainty. ➡️. Design structures, defaults and coaching to keep them on track. ➡️. Escalate to humans when complexity or emotion genuinely requires it. In that light, Roboodidn’t lose. It simply made it impossible for us to keep pretending that the traditional advice process, as‑is, was delivering deep, differentiated value. The scalar thinking in the concept of "winning the war" is evident in related articles where the focus is on FUM growth. As v3.0 emerges that thinking is akin to the Polish cavalry discovering tanks in 1939. The “war” had to be lost for the value proposition to evolve. #superannuation #retirement #wealthmanagement

AI-Enabled SME Financial Resilience Through AIDT Lab _______ The AIDT Labs Global team had a fruitful discussion with MARA — Malaysia’s Bumiputera development agency focused on entrepreneurship, education, financing, training and socioeconomic advancement — on how AI can support two urgent SME segments: businesses facing bank-loan repayment difficulties, and about 20,000 SMEs needing affordable financial expertise through RoboAdvisory. This is critical because Malaysia’s MSMEs contributed RM652.4 billion, or 39.5% of GDP in 2024, and employed 8.10 million people, equal to 48.7% of national employment. Context: The AIDT Lab team has developed and deployed an AI engine since 20 years ago to support more than 10,000 SMEs across 20 countries, working through SME agencies, trade associations and business chambers. This experience has helped SMEs manage risks, strengthen financial management strategies and optimise their balance sheets through better cash-flow planning, cost control, debt structuring, funding readiness, business diagnostics and turnaround roadmaps. CFO expertise is needed because many SMEs do not fail only due to lack of sales; they often struggle due to weak cash-flow planning, poor pricing, high costs, unclear margins, poor debt structuring, weak financial records and limited funding readiness. A CFO lens helps SMEs understand whether they are profitable, bankable, over-geared, underpriced or operationally inefficient. For SMEs under financing stress, AI can assess cash flow, repayment capacity and business viability, then recommend restructuring or rescheduling options. For SMEs lacking CFO-level support, RoboAdvisory can provide business health checks, pricing guidance, cost control, funding readiness and turnaround plans. A key deliverable is a customised 25:10 SME Improvement Roadmap: helping each business target 25% cost reduction and 10% profit growth through expense optimisation, pricing correction, working-capital discipline, debt restructuring, inventory control, revenue recovery and productivity improvement. Measurable outcomes include 10–20% better repayment recovery, 15–25% faster restructuring assessment, 20,000 SME diagnostics, and stronger business survival, productivity and financial resilience. #MARA #AIDTLab #CEAI #AIForSMEs #SMETransformation #RoboAdvisory #CFOAdvisory #FinancialResilience #SMERecovery #BusinessTurnaround #DigitalTransformation #BumiputeraEntrepreneurs #MalaysiaSMEs #CostReduction #ProfitGrowth #AIForGood

When deciding how to manage your investments—whether through a financial advisor, a robo-advisor, or DIY investing—it’s important to weigh the pros and cons based on your personal goals, financial complexity, and comfort level with investing. Here's a breakdown: ✅ Financial Advisor Pros: 🔹 Personalized advice: Tailored to your full financial picture (goals, taxes, estate planning, retirement, insurance). 🔹 Behavioral coaching: Helps you avoid emotional decisions like panic selling or FOMO buying. 🔹 Accountability: Keeps you on track with saving, investing, and long-term planning. 🔹 Complex planning: Ideal for high-net-worth individuals, business owners, or those with multiple income streams or estate needs. Cons: - Higher fees: Typically 1% of assets under management (AUM), or hourly/project fees. - Quality varies: Not all advisors are fiduciaries (some may have commission-based incentives). - Access/time: Personalized means slower; meetings take time and may not be available 24/7. 🤖 Robo-Advisor Pros: 🔹 Low cost: Fees usually range from 0.25% to 0.50% AUM. 🔹 Easy access: Fast onboarding, minimal human interaction needed. 🔹 Automatic rebalancing: Keeps your portfolio aligned with your risk profile. 🔹 Tax-loss harvesting: Many offer it automatically to reduce taxable gains. Cons: - Limited personalization: Only as good as the questionnaire; may not handle complex financial situations. - No emotional guidance: Lacks human support during market downturns or big life decisions. - Generic planning: Great for basic retirement goals but not estate or small business planning. 🧠 Do-It-Yourself (DIY) Investing Pros: 🔹 Full control: You choose every asset, strategy, and timing. 🔹 Lowest cost: No advisor fees; you only pay fund or brokerage fees. 🔹 Educational: Helps you learn how markets work and build confidence over time. Cons: - Time-intensive: Research, monitoring, and decision-making fall entirely on you. - Risk of mistakes: Emotional decisions or lack of diversification can hurt performance. - No planning support: Harder to align investments with taxes, insurance, estate needs, or multi-goal planning. 🔍 Which is Best for You? 1. You're a high-income professional with complex financial needs ➡️ Financial Advisor 2. You're new to investing and want low-cost, hands-off solutions ➡️ Robo-Advisor 3. You enjoy learning about finance and have the time/discipline ➡️ DIY Investing 4. You want tax strategies, multi-generational planning, or business succession help ➡️ Financial Advisor 5. You have under $100k and just want to grow long-term wealth affordably ➡️ Robo-Advisor or DIY If you’re a first-generation high earner or building generational wealth, many find hybrid models (financial advisor + tech tools) most valuable—leveraging both guidance and efficiency.

𝐂𝐚𝐧 𝐑𝐨𝐛𝐨𝐭𝐬 𝐛𝐞 𝐲𝐨𝐮𝐫 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐝𝐯𝐢𝐬𝐨𝐫𝐬?   Yes they can!   ➡ A 𝐫𝐨𝐛𝐨-𝐚𝐝𝐯𝐢𝐬𝐨𝐫 is an automated platform for managing investments, often through a brokerage account.   ➡ It uses algorithms to create and manage a portfolio of investments, typically focusing on low-cost exchange-traded funds (ETFs).   ➡ As the process is automated, robo-advisors generally charge lower fees compared to traditional financial advisors.   𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐨𝐟 𝐚 𝐑𝐨𝐛𝐨-𝐀𝐝𝐯𝐢𝐬𝐨𝐫?   1️⃣ 𝐀𝐟𝐟𝐨𝐫𝐝𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Traditional financial advisors often charge 1% or more of assets under management (AUM) annually. In contrast, robo-advisors typically charge around 0.3%-0.4%, making them a cost-effective solution, especially for smaller portfolios.   2️⃣ 𝐄𝐚𝐬𝐞 𝐨𝐟 𝐀𝐜𝐜𝐞𝐬𝐬: With low or no minimum account balances, robo-advisors make investing accessible to a broader audience, including Millennials and Gen Z, who are tech-savvy and comfortable with online platforms.   3️⃣ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: These platforms use advanced algorithms to create and maintain diversified portfolios based on 𝐌𝐨𝐝𝐞𝐫𝐧 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐓𝐡𝐞𝐨𝐫𝐲 (𝐌𝐏𝐓). They continuously monitor and rebalance portfolios to ensure they align with your investment goals, often optimizing for tax efficiency through strategies like tax-loss harvesting.   4️⃣ 𝟐𝟒/𝟕 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Unlike traditional advisors, robo-advisors provide round-the-clock access to your investments, allowing you to monitor and adjust your portfolio at any time from anywhere. 𝐋𝐢𝐦𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐚 𝐑𝐨𝐛𝐨-𝐀𝐝𝐯𝐢𝐬𝐨𝐫   1️⃣ 𝐋𝐢𝐦𝐢𝐭𝐞𝐝 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: If you need advanced financial planning services, such as estate planning, retirement planning, or dealing with unexpected life changes, a robo-advisor may not offer the level of nuanced advice you need. 2️⃣ 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐇𝐮𝐦𝐚𝐧 𝐓𝐨𝐮𝐜𝐡: During periods of market volatility, many investors prefer the reassurance and tailored advice that only a human advisor can provide. A recent study found that 𝟒𝟎% 𝐨𝐟 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬 𝐚𝐫𝐞 𝐮𝐧𝐜𝐨𝐦𝐟𝐨𝐫𝐭𝐚𝐛𝐥𝐞 𝐫𝐞𝐥𝐲𝐢𝐧𝐠 𝐬𝐨𝐥𝐞𝐥𝐲 𝐨𝐧 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 in turbulent times. 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐑𝐨𝐛𝐨-𝐀𝐝𝐯𝐢𝐬𝐨𝐫𝐬 The robo-advisory market is experiencing explosive growth, with projections suggesting it will reach $𝟕𝟐 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟐.   As these platforms evolve, we’re likely to see more hybrid models that combine the efficiency of algorithms with the personalized advice of human financial planners.   #RoboAdvisor #Fintech #Investing #WealthManagement #FinancialPlanning #TechnologyInFinance

Navigating the Evolving Landscape of Wealth Management: The Role of Robo Advisors I first got exposed to the world of WM during my time at AXA. A lot has changed in the sector and the future holds some disruptive opportunities. One interesting evolution over the past decade has been the emergence of #roboadvisory , often perceived as a 'Starter Kit' for aspiring investors, Robo services are starting to have an impact on how we approach WM (slowly but surely). 🌟 Robo Advisors: Democratizing Wealth Management Robo Advisors have emerged as the gateway for many entering the investment arena (check out - Betterment , Nutmeg or FinaMaze). They all offer an accessible, user-friendly platform, perfect for those taking their first steps into financial planning. This isn't just about investment; it's about education and empowerment. 🔍 The Limitations of a Digital-Only Approach However, the journey of wealth management often outgrows the confines of a digital-only service. As personal wealth expands, the financial landscape becomes more intricate, necessitating a level of customization and personal interaction beyond what current Robo Advisors can offer and/or what the customer is willing to trust a digital only platform with. The human element - trust, understanding, and bespoke advice - become more important. This arguement also holds true for those who might need WM advise but don’t entirely trust a digital platform for the same. 🔗 The Future is starting to take shape: Integration and Hybrid Models The future of wealth management is not about choosing between digital or traditional methods but blending them harmoniously. The integration of Robo Advisory services into the broader WM framework is already happening. We're envisioning a world where traditional wealth management firms adopt hybrid models, combining the efficiency of Robo Advisors with the depth and personalization of human financial advisors. 🌐 A Competitive Imperative: Concluding Views Incorporating Robo Advisory is now a viable option for traditional wealth management firms (and playbooks are emerging). In a world driven by technology and changing consumer expectations, staying relevant means embracing digital transformation. Robo Advisors will become one of the many tools used by these firms, ensuring they meet the evolving needs of their diverse client base. The role of Robo Advisors in wealth management is a fascinating evolution, marking a shift towards more inclusive, education-oriented, and flexible financial planning. 🔥 Join the Conversation What's your take on the integration of Robo Advisors in traditional wealth management? Are we ready for this hybrid future in the GCC? Share your thoughts below! #WealthManagement #RoboAdvisors #FinancialPlanning #DigitalTransformation #InvestmentTrends #Fintech #HybridModels #wealthtech