WealthAi hires new technology chief
WealthAi has named Pratim Das, a longtime executive from Microsoft and Capgemini, as its new Chief Technology Officer to close the AI readiness gap in wealth management. The industry faces a major structural challenge as it moves from early AI testing to full-scale deployment by 2026, when firms will need systems capable of automated decision-making and direct interactions with banking platforms.
The wealth management sector still relies heavily on outdated technology that cannot handle the real-time processing demands of advanced AI. While 88% of financial firms now use AI in some form, most lack the infrastructure to support its full potential. The transition to what analysts call “agentic operations”, where AI not only recommends actions but executes them independently, requires a complete overhaul of legacy systems.
Three key challenges define the industry’s shift. First, the rise of agentic AI means firms must deploy systems that can handle multi-step workflows without constant human oversight. Second, the growing mobility of high-net-worth clients creates sudden operational risks when portfolios must adapt to new tax laws or regulatory environments across borders, such as a client relocating from London to Dubai. Finally, the rising cost of running AI models, often called the “inference tax”, has become a fixed expense that legacy financial models were never designed to accommodate.
Read Also: UK simplifies rules for stock market listings
Regulatory pressures have intensified in 2026, particularly in the UK and US. The Financial Conduct Authority (FCA) is now closely examining how its Senior Managers and Certification Regime applies when AI takes on roles previously overseen by humans. Meanwhile, the UK Treasury Committee has cautioned that a delayed regulatory approach could lead to serious harm for consumers. The EU AI Act, set to take full effect in August 2026, is pushing global firms to adopt systems that comply with data sovereignty rules by design. WealthAi’s architecture ensures compliance with these requirements, embedding jurisdictional controls directly into its software.
The lack of transparency in AI decision-making remains a major obstacle. Many firms struggle to explain how their AI arrives at investment or compliance recommendations, creating legal and reputational risks. Under Das’s leadership, WealthAi is developing a unified software layer that improves auditability, reduces dependency on single providers, and incorporates privacy protections by default. The company’s multi-cloud approach minimizes disruption risks if a single cloud vendor fails, while its use of Privacy-Enhancing Technologies (PETs) prevents sensitive client data from being exposed when processed by large language models.
