Similar to identity theft, this type of fraud happens when an unauthorized individual gain access through online banking applications, capturing the account information to create and write bad checks.
Account-centric enterprise content management solutions allow users to access account holder information based on their account numbers.
ACH (Automated Clearing House) is an electronic payment network that enables banks, credit unions, businesses, and consumers to securely send and receive funds between accounts for transactions such as direct deposit, bill payments, recurring payments, and account transfers.
An adverse action notice is a document sent to a loan applicant stating a bank’s rationale for denying a loan. It may also contain a counteroffer, such as a lesser amount or a request for an approved co-borrower.
Agentic AI refers to artificial intelligence systems that can autonomously plan, reason, make decisions, and take action to achieve specific goals with limited human intervention.
The term “aging exceptions” refers to a group of critical exceptions that have not been resolved within a reasonable amount of time.
Altered check fraud occurs when a fraudster changes the amounts and Payee from a stolen check.
API is short for “application programming interface.” Technology companies like Alogent rely on APIs to connect multiple software applications, thereby enabling a two-way exchange of information to support users’ needs.
Audit and exam prep is a process that financial institutions go through in order to adequately prepare for upcoming audits and exams.
An authorized signer form is a document that allows an account holder to grant a range of clearance levels to individuals to perform certain functions within a bank account.

What is Agentic AI?
 

Agentic AI refers to artificial intelligence systems that can autonomously plan, reason, make decisions, and take action to achieve specific goals with limited human intervention. Unlike traditional AI models that primarily generate responses or insights based on prompts, agentic AI can execute multi-step tasks, adapt to changing conditions, leverage available data and tools, and continuously learn from outcomes to improve performance.

As organizations seek to drive greater efficiency and productivity, agentic AI is emerging as a powerful technology for automating complex workflows, accelerating decision-making, and reducing manual effort. For banks and credit unions, agentic AI has the potential to enhance customer service, streamline operations, strengthen fraud detection, improve compliance monitoring, and support more intelligent financial processes.

Key characteristics of agentic AI include:

  • Autonomous decision-making based on predefined goals and parameters.
  • Multi-step reasoning and task execution across business processes.
  • Ability to interact with data, systems, and tools to complete objectives.
  • Continuous adaptation based on changing inputs and outcomes.
  • Reduced reliance on manual intervention for routine and repetitive tasks.
  • Improved operational efficiency, accuracy, and scalability.

Potential banking and credit union applications include:

  • Automating deposit operations and exception management workflows.
  • Supporting fraud detection, investigation, and resolution processes.
  • Enhancing customer service through intelligent self-service experiences.
  • Monitoring transactions and activities to support regulatory compliance.
  • Assisting employees with research, reporting, and operational decision-making.
  • Streamlining back-office processes across payments, lending, and account servicing.

As AI adoption continues to accelerate, agentic AI represents the next evolution of intelligent automation, enabling banks and credit unions to move beyond simple task automation toward systems that can analyze, decide, and act in support of business objectives while maintaining appropriate controls, oversight, and governance.

 

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