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Showing posts with the label AI business outcomes

Why Business Banking Customers Face Delays After Their Accounts Are Approved

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  The paperwork is complete. Compliance checks are done, and the relationship manager confirms that the account is ready. Yet, the business customers still cannot use all the banking services they need. Opening a bank account is only the first step for many businesses. They may also need access to ACH transfers, wire payments, treasury services, online banking, or business debit cards. These services often involve separate applications, departments, and approval steps. So, even after account approval, some services may still be pending. This delay frustrates customers and increases bank employees' workload . Account Approval Does Not Always Mean Business Readiness Business banking onboarding involves more than verifying documents and creating an account. Several activities may remain incomplete before a customer can use the services they requested. These may include: Setting up online banking and user access. Activating ACH and wire transfers. Setting up treasury management servic...

Why Better AI Models Don't Always Lead to Better Business Outcomes

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  Introduction Every few months, a new AI model emerges that can do what the previous generation could not. It can handle longer documents, answer more complex questions, write better code, or process information faster. Technology executives operate under the assumption that better models lead to better business outcomes. It is not always the case.   An organization might be equipped with such a highly skilled model but still not manage to extract value from it. And it may not even be about the model itself. It may be related to the fact that data is  disperse d among different systems. Th e employees may find it difficult to  use  the model's output. Some critical business processes may still be carried out using Excel and manual approvals. That is how many enterprise AI implementations fail to deliver results. A Better Model Doesn't Fix a Broken Process Consider a customer service team handling a growing number of requests. The team uses a CRM, a billing ...