Demystify Podcast: Why AI Is Forcing a Rethink of Wealth Management with Alpheya
February 4, 2026
This week on the Demystify Podcast, hosts Dave and Dharmesh sit down with Roger Rouhana, co-founder and CEO of Alpheya. It's a practical look at how AI is reshaping wealth management-what's working, what isn't, and what leaders should do now.
Roger explains how Alpheya delivers end-to-end wealth and trading infrastructure for financial institutions. From onboarding and portfolio construction to execution, reporting, and advisory workflows, the platform runs at institutional scale and supports millions of end clients through partner banks.
Why traditional platforms are falling behind
Wealth is "retailising." Clients expect always-on digital access, real-time insights, and guidance that reflects their situation-not a quarterly review and a PDF. Legacy stacks weren't built for that pace or level of personalization.
Human relationship managers can't scale to meet demand on their own. The gap between what clients want and what teams can deliver is growing-and AI is the only way to close it responsibly.
AI as the new advice capacity
A key insight from the episode: investors are far more open to AI-driven advice than many leaders assume. Recent research shows growing willingness to let AI support guidance and even portfolio decisions, especially when paired with a human check.
That shift isn't a novelty-it's a structural change in how advice is produced, delivered, and measured. Firms that treat AI as a core workflow, not a feature, will move faster and serve more clients at lower cost per relationship.
What Alpheya brings to the table
Alpheya was built for banks and large institutions that need modern wealth infrastructure without ripping out everything they already have. The platform supports full lifecycle workflows-onboarding, KYC, portfolio design, trading, reporting, and advisor tooling-through a cohesive architecture.
Backed by major institutional investors, it operates at meaningful scale. The takeaway for leaders: infrastructure choices either compound your team's speed or slow it to a crawl.
What leaders should do in the next 90 days
- Define the client experience you want to deliver. Map the ideal digital journey: onboarding time, response times, data refresh cadence, and how advice shows up in-app.
- Audit your stack for bottlenecks. Identify where data is stuck, where advisors re-key information, and where clients wait for answers.
- Pick a build-with partner, not a point tool. Favor API-first platforms that cover onboarding, advice, execution, and reporting in one flow.
- Stand up a clean data layer. Agree on golden sources, implement event streaming where possible, and tag data for explainability.
- Operationalize AI with guardrails. Human-in-the-loop review, prompt libraries, prompts and outputs logged, reproducibility by default.
- Train your advisors and ops teams. Focus on prompt quality, workflow changes, and client communication. Consider curated upskilling resources such as AI tools for finance.
- Align compliance early. Document use cases, monitoring, model risk management, and disclosure language before scaling.
Metrics that signal real progress
- Client onboarding time: minutes, not days.
- Advisor capacity: clients per advisor and time spent with clients vs. admin.
- Digital engagement: logins, feature usage, completion rates for advice actions.
- Cost to serve: per client and per portfolio rebalancing cycle.
- Advice latency: time from client question to documented response.
- Compliance outcomes: exception rates, audit findings, explainability logs.
- Revenue lift: share of wallet and retention in segments using AI-assisted advice.
What this means for your strategy
Client expectations are set by consumer apps, not legacy platforms. If your advice, reporting, and rebalancing aren't instant and contextual, clients will notice-and move.
The playbook is clear: consolidate workflows, get your data house in order, put AI where it removes friction, and keep a human in the loop for the moments that matter. Do this, and you scale personalization without scaling headcount one-for-one.
Listen to the episode
For anyone focused on the future of wealth management and how to responsibly scale personalized investing, this conversation with Roger Rouhana is worth your time. Thanks to Orama for editing the episode.
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