Titan’s banking-native AI bet: Banking intelligence can’t be retrofitted
What's happening
Titan has launched a banking-native AI offering and is arguing that 'adapted for banking' approaches are limited, because general-purpose models retrofitted with banking data or a banking interface were never designed for the industry. The conversation sits alongside multiple industry voices saying banks struggle to turn AI activity into outcomes: nCino research shows 91% of banks have an AI strategy but only 21% measure AI's revenue impact, and experts (Eric Bierry, Dr Rita Fontinha, Harry Chapman-Walker) point to workforce, data and measurement problems as the main barriers to rollout. Customer trust is also a constraint, with a Deloitte survey finding many consumers use generative AI to research products but hesitate to share personal data or trust recommendations.
Why it's trending
Because vendors like Titan are positioning a purpose-built alternative just as banks report stalled pilots, weak measurement and low customer trust, making the 'retrofit' claim a live debate.
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Stop wrapping ChatGPT in a bank logo and calling it a solution, that's exactly what Titan says won't work for finance, and the data backs them up.
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Original sources7
- Survey finds many bank customers use gen AI, but don’t trust it
Deloitte survey finds that while most bank customers use generative AI to research bank products, they hesitate to share personal info with the technology or trust its recommendations. The post Survey finds many bank customers use gen AI, but don’t trust it appeared first on ABA Banking Journal .
ABA Banking JournalSep 1 - SBS Chief: bank AI Pilots Stall on Data, not on the model
Eric Bierry, chief executive of SBS, on why bank AI pilots succeed where rollouts fail, and what has to change before the full rollout in 2027. The post SBS Chief: bank AI Pilots Stall on Data, not on the model appeared first on The Fintech Times .
The Fintech TimesSep 1 - Titan’s banking-native AI bet: Banking intelligence can’t be retrofitted
Over the past year, technology vendors have been using a new phrase to describe AI for financial institutions: adapted for banking. Whether the language is “trained on banking data” or “wrapped in a banking interface,” the implication is the same: a general-purpose model was retrofitted for an industry that it was never designed for. However, … Continue reading "Titan
TearsheetSep 1
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