The Future of Finance Depends on Better Workflows, Not Better AI
What's happening
The conversation in finance is shifting from chasing flashy AI tools to fixing the underlying workflows and data that make those tools useful. Bank of America and PYMNTS pieces say finance leaders face an overload of AI, real-time payments and automation options while the real barrier is poor data and clunky internal tools. Billtrust CTO John Landy told PYMNTS that AI cannot compensate for bad enterprise workflows, and PYMNTS coverage frames AI as an audit that exposes workflow and data weaknesses. Reddit and FinTech Global commentary add that analysts are evading internal systems by using public LLMs on sensitive spreadsheets, and fincite's Friedhelm Schmitt warns the industry is asking the wrong questions about AI in wealth management.
Why it's trending
Because a flood of AI products and leaked analyst usage is revealing that data quality and workflow design, not smarter models, are the immediate bottlenecks.
SignalHolding at its usual pace, confirmed across 2 independent source types.
Story volume
Stories per dayAngles you could write
If your finance team keeps buying AI, you're solving the wrong problem, stop treating models as miracle workers and fix the spreadsheets and approvals first.
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Original sources6
- Why AI could strip banks of their last advantage
For decades, banks built their wealth management business on knowing more than their clients. According to fincite, that advantage has already slipped away, and the industry is asking the wrong questions about what comes next. Friedhelm Schmitt, co-founder and CEO of fincite, argues that the debate around AI in wealth management is fixated on tools, […] The post Why AI could strip banks of t
FinTech GlobalJul 23 - Bad Financial Data Is AI’s Biggest Liability
Watch more: Summer School With Fynapse’s Ben Catterall Artificial intelligence may dominate boardroom discussions, but payments companies face a more basic challenge. They already possess enormous amounts of financial data. The harder task is turning that information into something finance teams can trust. That theme anchored the latest installment of the PYMNTS Summer School series, […] The
PYMNTSJul 23 - The shadow AI problem in banking is getting out of hand
Every fintech consultant is dealing with the same issue where analysts use public LLMs for sensitive financial spreadsheets. They do this because internal corporate tools feel incredibly clunky to use. I was reviewing some system architectures from Avenga to see how they resolve this without ruining productivity. Instead of banning AI tools outright the best path is building private by design alte
r/fintechJul 20
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