At Hapax, we’re hearing a common concern from the institutions we serve: employees are feeling uneasy about artificial intelligence. Whether it’s tellers, compliance analysts, or even department heads, there’s a quiet (and sometimes not-so-quiet) question hanging in the air—“What does this mean for me?”
In the world of AI, documents aren’t just reference material — they’re the heart of the system. Every policy, procedure, and guideline feeds the intelligence core behind your institution’s AI platform. If your documents are outdated, incomplete, or inconsistent, the AI can't function with the precision and confidence your teams require.
“Order me dinner.” You’ve just typed this prompt into your generative AI solution of choice. After all, AI is supposed to make things easier, right? But now your tool has to make a whole lot of decisions.
Whenever new technology takes center stage in the financial services industry, banks become divided into two categories: the leaders and the followers.
As we discovered new use cases for the technology within the financial services industry, banks and credit unions of all sizes no doubt heard a rallying cry: “Get on board, or get left behind.”
Financial services professionals are eager to get their hands on AI-powered tools. This technology promises better information sourcing, instant answers to their most pressing questions, and disentanglement of operational inefficiencies.
Hapax recently commissioned a survey of hundreds of financial services professionals at small to mid-sized institutions across the United States to better understand the document-related challenges they’re currently facing. The findings showed critical levels of documentation overload.
New research commissioned by Hapax, an unprecedented AI for the financial services industry, found that bank employees spend 20% of their workweek searching for and managing documents to ensure adherence to regulatory requirements and internal policies.
Today, Hapax, an unprecedented AI for the financial services industry, announces the enterprise version of its purpose-built generative AI solution and introduces its executive team, officially entering its next phase of company growth.
In the world of AI, documents aren’t just reference material — they’re the heart of the system. Every policy, procedure, and guideline feeds the intelligence core behind your institution’s AI platform. If your documents are outdated, incomplete, or inconsistent, the AI can't function with the precision and confidence your teams require.
“Order me dinner.” You’ve just typed this prompt into your generative AI solution of choice. After all, AI is supposed to make things easier, right? But now your tool has to make a whole lot of decisions.
Whenever new technology takes center stage in the financial services industry, banks become divided into two categories: the leaders and the followers.
Financial services professionals are eager to get their hands on AI-powered tools. This technology promises better information sourcing, instant answers to their most pressing questions, and disentanglement of operational inefficiencies.
As we discovered new use cases for the technology within the financial services industry, banks and credit unions of all sizes no doubt heard a rallying cry: “Get on board, or get left behind.”
Hapax recently commissioned a survey of hundreds of financial services professionals at small to mid-sized institutions across the United States to better understand the document-related challenges they’re currently facing. The findings showed critical levels of documentation overload.
New research commissioned by Hapax, an unprecedented AI for the financial services industry, found that bank employees spend 20% of their workweek searching for and managing documents to ensure adherence to regulatory requirements and internal policies.
Today, Hapax, an unprecedented AI for the financial services industry, announces the enterprise version of its purpose-built generative AI solution and introduces its executive team, officially entering its next phase of company growth.
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