The list of connectors in the updated article now includes 22 connectors to tools used by financial advisors. These are in addition to other connectors already available in Claude, such as Microsoft 365, Salesforce, DocuSign, Box, S&P Global and Morningstar.
“New connectors bring in the [customer relationship management], custodian, portfolio reporting, financial planning software, estate tools and meeting capture that advisors rely on,” Anthropic said in the article.
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When Anthropic introduced Claude for Financial Advisors on Sept. 14, the company described the product as a suite of connectors and workflow skills designed to enable financial advisors to save time on prep and paperwork so they can spend more time with clients, PYMNTS reported at the time.
Claude for Financial Advisors also features skills designed to aid the daily work of financial advisors, including skills that enable Claude to use the information from the connectors to help with meeting prep, portfolio analysis and compliance checks.
“When Claude handles administrative tasks like meeting prep, follow-up drafts and pipeline review, advisors can spend more of their time serving clients,” Anthropic said in the article. “Practices can expand their customer base, and offer more of the services they need, like tax, estate, insurance and retirement planning.”
PYMNTS reported Monday (Oct. 26) that a new generation of artificial intelligence is taking shape around companies that own financial data, turn that data into research and analysis, or control the proprietary content investors rely on to make decisions.
With different business models, these AI companies are competing for a share of the technology budgets of investment banks, asset managers and other financial institutions, and their results will show where the economic value of AI in financial services will ultimately accrue, the report said.
The PYMNTS Intelligence report “Financial Services Pulls Ahead in the Enterprise AI Race” found that financial services and insurance firms are going all in on AI. The industry’s most adopted use cases involve back-office functions, while the technology is less frequently used for customer-focused tasks, according to the report.
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