Explore Robotic Process Automation



Between payroll processing, procurement, and reporting, various mundane tasks bog down accounting and finance departments on a daily basis. This significantly hinders human capital and innovative thinking within these departments and makes repetitive tasks more susceptible to human error.

An RPA implementation can close the financial digitization gaps present within many organizations, reducing employee turnover and costs while increasing ROI. An implementation also enables the accounting and finance team to play a part in your RPA Center of Excellence (CoE), which is especially impactful for customer-facing department representatives.

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RPA for Finance & Accounting
  • Invoice processing

  • Payment processing

  • Reduce operational costs

  • Customer and vendor onboarding

  • Improve operational efficiencies & quality of audit
  • Increase testing volume coverage

  • Instill agility in compliance management

  • Higher precision audit activities


When it comes to an internal audit and adhering to compliance procedures, auditors spend a lengthy amount of time gathering data, creating audit evidence collections, performing audit tests, and manually copying and pasting data into one file. Not only are these tasks extremely time-consuming and rule-based, but manual audits are more error-prone.

With an RPA audit implementation, RPA streamlines the execution and tracking of an internal audit and automatically: prepares data gathering and reporting, collects evidence, manages the audit data quality, and provides audit issue reporting and notifications.

In addition to an automation audit and compliance implementation, auditors will have more time to execute complex testing involving the investigation of accounting anomalies, resulting in an improved and accurate audit.

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With automated customer service being a mainstay in many businesses, the focus on front and back-end user experience has fallen by the wayside. At the organizational level, this is especially true for consultants and call centers that use various applications when assessing and addressing a customer’s unique needs.

For example, an employee assisting a customer with a problem or need will likely have to shift between disparate channels, shifting focus away from the customer and ultimately lowering productivity. With RPA taking over the manual tasks encompassing this engagement, the employee can focus solely on the customer’s needs.

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rpa for customer service
  • Reduce application costs

  • Expedite interactions

  • Reduce human error

  • Strengthen customer retention

  • Enhance recruitment efforts

  • Eliminate human error

  • People over paperwork

  • Strengthen employee relationships


With nearly half of Human Resources and administrative tasks being repetitive, HR is becoming less and less “human.” These individuals need to be focused on people rather than paperwork, especially being the front-liners for onboarding new team members to the organization (which encompasses various repetitive tasks in itself).

HR departments globally are implementing RPA technology into their repetitive, paperwork-driven processes, rendering these individuals to be much more valuable to new and existing staff. These departments are witnessing 10x faster employee onboarding through RPA, freeing them from administrative tasks and allowing more time for talent acquisition.

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RPA for human resources


The impact of RPA on business operations is virtually unlimited, expanding its dynamic reach between various industries such as food service and manufacturing. Operations managers can manipulate RPA to create workarounds, circumvent processes, and re-engineer system work.

Domino’s Pizza is an example of an organization that used automation technologies to increase the experience of both back-office employees and customers. With new efficiencies like in-store kiosks, real-time order tracking, and virtual order assistants (DOM), the customer experience was optimized while back-of-house operations were streamlined.

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rpa for operations
  • Reduce operational costs

  • Enhance customer experience

  • Digitize time-sensitive processes

  • Introduce hyperautomation

  • Reduce human error

  • Save time on data entry

  • Increase customer retention

  • Eliminate confusion across sales channels


A RPA implementation within your CRM system can play a vital role in customer service practices for both B2B and B2C organizations. Customer centers or sales-engaging departments can keep track of everything happening in the customer life cycle and always reference up-to-date information in the process.

RPA makes customer ticket tracking and case management easy within your sales and marketing platforms. You can automate the input of customer data such as quotes, notes, and order/shipment tracking, which frees up time for account managers.

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RPA for Sales & Marketing


The data generated from RPA can be analyzed to see how processes within these functions can be enhanced. To streamline supply chain practices, this data can be combined with predictive or prescriptive analytics to increase process efficiency.

Responding to and processing administrative purchase orders is one example of a time-consuming overhead process for supply chain businesses. Through an RPA implementation, required inventory levels can be matched against the stock on hand, and can be visible/accessible to front and back-of-house workers without any human intervention whatsoever.

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rpa for supply chain
  • Automate inventory management

  • Streamline purchase orders

  • Strengthen department communication

  • Reduce overhead cost

  • Reduce downtime

  • Reduce time spent on data entry

  • Streamline inquiries

  • Simplify invoicing

  • Analyze contracts

  • Data validation


Between manual data entry, document processing, security compliance, and information requests, government agencies have many applications for RPA. Intelligent automation provides flexible technology that works with legacy, cloud, and hybrid systems to complete and optimize complex government tasks.

Government agencies are adopting automation at a rapid pace to reduce hours spent on repetitive tasks, freeing up their employees to work on higher-value activities.

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RPA for Government



You can see examples of NLP most prevalent through chatbots, voice assistants, and automated emails. NLP in RPA can help analyze structured, unstructured, and semi-structured data, and extract it for further analysis.

Through AI-driven practices, RPA vendors must scale their NLP capabilities to keep up with the demand and bandwidth of automation. Especially when automating end-to-end processes, NLP can provide a humanistic touch to enhance user experience.

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Natural Language Processing (NLP)


Hyperautomation is used to describe next-level automation initiatives, which means the act of automating end-to-end business processes that go beyond standard rule-based tasks. This is achieved by combining robotic process automation technology with Machine Learning and Artificial Intelligence.

Specifically UiPath hyperautomation capabilities, as well as Automation Anywhere hyperautomation capabilities, are impacting RPA business users who wish to achieve seamless automation within their exiting processes.

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