You Asked, We Answered: Questions from Our Webinar, ‘5 Banking Examples to Explain Intelligent Automation, What It Is – and Isn’t’ | WorkFusion

You Asked, We Answered: Questions from Our Webinar, ‘5 Banking Examples to Explain Intelligent Automation, What It Is – and Isn’t’

Intelligent Automation is quickly gaining traction as transformational software that can positively impact operational efficiency. As leaders in the space, WorkFusion is often asked questions like “What is a good example of Intelligent Automation?” or the more academic “What is Intelligent Automation?” and the action-oriented “How do I get started with Intelligent Automation?”

In order to address this, we hosted a webinar, available on demand: “5 Banking Examples to Explain Intelligent Automation, What It is – and Isn’t,” which addressed these typical questions but also generated interesting follow-up questions, which are answered below.

What is a good example of Intelligent Automation?

There are many good examples of Intelligent Automation in banking, but in this webinar we set out to detail five specific use cases for automation in the banking industry:

5 examples of banking processes and use cases

These are all great examples of Intelligent Automation in the banking sector because they not only require software robots to perform the keystrokes and mouse-clicks that access data without an API, but they also contain text- and data-centric work that requires artificial intelligence (AI). These use cases, like Verification of Income, need to navigate systems like core banking tools, credit check APIs, and internal scoring calculators, while also collecting data points from unstructured data like tax forms (W-2s), bank statements, and pay slips.

Because WorkFusion not only knows of these as good examples, but also has pre-packaged solutions to these use cases, webinar attendees had follow-up questions:

  • How can pre-packaged use case solutions be customized for specific business needs?
    In pre-built approaches, WorkFusion has typically pre-configured an 80% solution, consistent across customers within an industry, anticipating a need to tailor the remaining 20% or so. The final calibration per customer typically consists of integrating with their unique systems, inclusion of specific business logic, or additional quality control procedures.
  • What use cases do you have, outside of Banking and Financial Services, to get a quick start?
    WorkFusion has been working on several other use cases, such as Claims Processing, which is pertinent within the Insurance sector; Order Management, most common within CPG/Retail; and cross-industry use cases such as Accounts Payable (mentioned in the webinar).
  • Can you show me a demo of a pre-packaged use case?
    Yes! Please send an email request to

What is Intelligent Automation?

The webinar presents a definition of Intelligent Automation as “automation software with intelligence and impact” — because it’s not just RPA, RPA and AI, or industry-specific point solutions. The audience asked:

  • What is the difference between RPA and AI?
    Robotic Process Automation (RPA) is a rules-based technology that handles repeatable structured activities in support of executing a business process — typically geared towards leveraging the user interface to retrieve or enter data. AI is the capability for a machine to be able to learn from data, interpreting patterns which can also be applied to unseen data. Both are core capabilities within Intelligent Automation, with RPA being used for scenarios where rules can be defined and AI for data needs like extracting specific fields or acting on dynamic inputs.
  • Can we leverage existing RPA bots that solve a portion of the use cases you mentioned?
    If robotic process automation in banking software is currently automating a portion of a workflow, it could be extended with different software with a full Intelligent Automation capability. Though in doing so, certain benefits may be limited — for example, there might be increased complexity of monitoring via Operational Analytics.
  • What is the “intelligence” that WorkFusion has employed to deliver its Intelligent Automation software, and how mature is it?
    The webinar mentions that an “RPA and AI” mindset might focus too heavily on simple execution of AI and neglect additional requirements — such as executing AI securely, handling low-confidence data, and scaling to hundreds of machine learning models. WorkFusion’s Process Automated Machine Learning (AutoML) provides a mature solution to optimize the building and operationalization of AI within Intelligent Automation, having been battle tested since 2014.
  • Are you just creating more point solutions?
    WorkFusion is creating software that may solve the same problem as some point solutions — such as solving Adverse Media Monitoring or Identity Verification use cases. However, these are not themselves point solutions because they can be approached with the same underlying software platform as part of an automation portfolio.
  • How does Intelligent Automation relate to Virtual Assistants or Chatbots?
    Virtual Assistants (or Chatbots) typically provide real-time analysis of conversations to identify their intent and prescribe related actions. Those actions might be to trigger an Intelligent Automation process and then await a response to finish the conversation. In a related capability, many Intelligent Automation for banking use cases are triggered by emails, which have a similar approach to Virtual Assistants.

How do I get started with Intelligent Automation?

Key goals of the webinar were, of course, to entice prospective customers to get started with their Intelligent Automation in banking journeys and for existing customers to expand their usage. The ideal way to do this is to start with a pre-packaged use case, then move on to more pre-packaged use cases, potentially finding additional applications outside what’s pre-built.

  • How best to identify use cases for automation?
    We’d love to help you in this! Please email The conversation will include a discussion on what fits existing pre-packaged use cases, assessing potential opportunities with our Smart Process Discovery tool, and an understanding of your current situation and automation goals.
  • What skills are needed to build machine learning models?
    In most scenarios, WorkFusion customers are able to build machine learning models without data scientists. Pre-packaged use cases often can be calibrated by business users, although in some scenarios, including for new models, a trained Machine Learning Engineer (MLE) may need to provide technical expertise.
  • How do I learn more and get started on my automation journey with WorkFusion?
    Please send a note to — we’d love to hear from you.

See WorkFusion pre-packaged use cases in the Use Case Navigator.