Artificial intelligence is helping wealth advisers reduce the time spent processing financial documents, analysing investments and preparing client reports, allowing them to focus more on financial planning and personal relationships. Rick Nott, a senior managing director and private wealth adviser at Angeles Wealth Management, has used AI tools, including Anthropic’s Claude, to automate repetitive tasks while maintaining that technology cannot replace the judgment required to manage clients’ wealth.
Nott’s experience highlights how professionals in traditionally relationship-driven industries are incorporating AI into their daily operations. Rather than viewing the technology as a direct threat to his career, he sees it as a tool that helps him deliver more comprehensive services and spend less time on administrative work.
One of the biggest changes has been the automation of document collection and processing. Wealth advisers often manage extensive records covering trusts, privately held businesses, investment portfolios and other assets.
Reviewing these documents manually can consume hundreds of hours, particularly when information is spread across different financial systems and file formats.
Nott’s use of AI has helped streamline the collection of information from these sources and organise it for analysis. The technology can extract relevant details from documents, consolidate information and support portfolio assessments, reducing the amount of repetitive work required before an adviser can begin evaluating a client’s financial position.
The time savings can be substantial. Processing 3,000 investment documents annually could previously require an estimated 750 to 1,500 analyst hours, depending on the complexity of the records and the time needed to review each document. AI-assisted workflows can accelerate extraction and organisation, although the results still need appropriate checks before being used to make financial decisions.
The efficiency gains may also change which clients wealth advisers can serve profitably. Detailed analysis of complex financial arrangements has traditionally required significant staff time, making it expensive to provide highly customised services to households with smaller fortunes. By reducing administrative costs, AI could make sophisticated reporting and investment analysis accessible to a broader range of clients.
Despite the productivity benefits, Nott believes the central value of financial advice remains human. Advisers help clients make decisions involving taxes, liquidity, retirement, family wealth and long-term investment goals. Those decisions require an understanding of personal circumstances, risk tolerance and family priorities that cannot be reduced to document processing alone.
Money is also an emotional subject. Clients may need reassurance during market downturns, guidance when family circumstances change or help weighing competing financial priorities. An AI system can support analysis, but an adviser remains responsible for interpreting the findings, explaining trade-offs and helping clients decide what to do.
There are also practical limitations. AI-generated summaries and notes can contain errors, while costs based on usage can become unpredictable as automated systems process large volumes of documents. Financial firms must therefore balance productivity gains against the need for accuracy, confidentiality, regulatory compliance and human oversight.
The wider financial industry is increasingly experimenting with AI to streamline research, reporting and client management. The trend is shifting the role of professionals away from repetitive information handling and towards interpreting results, managing risk and advising clients.
For Nott, the technology strengthens rather than eliminates the role of the wealth adviser. By allowing AI to handle more of the tedious work, he can devote greater attention to financial strategy and client relationships.
His experience illustrates a broader possibility for professional services: AI may change how the work gets done without removing the need for people who understand the client, take responsibility for decisions and provide trusted advice.
