Optimizing ROI for future strategies with automation and AI

Automation and AI to optimize ROI

Automation and analytics, along with the latest generative AI (GenAI), have an incredible ability to boost performance. For businesses to fully harness the potential of these advanced technologies, they must effectively evaluate their impact. One key way of doing this is through assessing the return on investment (ROI). This allows companies to understand the effectiveness of these technologies, and subsequently, maximize their strategies for better performance.

The role of ROI in future strategies

Ensuring ROI optimization in future strategies—especially those involving AI and automation—is crucial for success. But before being able to optimize for improved ROI, organizations need to ensure they’re successfully measuring and tracking ROI.

To achieve this, an end-to-end analytics solution is key. Such a solution provides extensive insights, facilitating businesses to track, assess, and forecast the efficacy of their AI and automation endeavors.

More importantly, data-driven performance dashboards can directly affect company key performance indicators (KPIs)—those essential measures of ROI.

According to MIT Sloan Management Review, 70% of respondents agreed that evolving KPIs using AI is critical for business success.

“Companies that use AI to inform their KPIs are far more likely to see improved metrics.”

Using AI to create new KPIs

Source: MIT Sloan Management Review

Much like a telescope improving our understanding of distant stars, an end-to-end analytics solution offers intricate details on AI and automation implementation. This increased visibility provides many benefits: improved operational oversight, the ability to identify common errors, and ensuring AI and automation are used in the best possible way. All these factors contribute to improved ROI.

Building on this foundation of improved ROI, let’s explore how businesses can leverage these benefits to maximize their impact.

End-to-end analytics

We find that each business metric is rooted in an operational one. By linking analytics to how well AI and automation work in real business scenarios, as well as measuring factors like how productive the system is and how much it can process, business can track their successful actions and tie them back to business results.

Reviewing substantial and reliable data becomes vital as businesses evaluate the performance and ROI of their AI and automation investments. An end-to-end analytics solution fundamentally transforms how companies understand, use, and strategically approach automation, driving value and fostering a collaborative environment through exportable dashboards.

These analytics capabilities provide operational teams and business leaders with the flexibility to define key metrics based on their needs. Specific, customizable business KPIs—such as ROI and process outcomes—boost confidence and pave the way for continued investment in AI and automation. These measures spotlight how AI and automation are enhancing bottom-line outcomes, impacting employees, and improving customers' experiences.

With an end-to-end analytics solution, stakeholders across a business gain a single source of truth. This assists in evaluating key outcomes from AI and automation, making it easier to act upon these insights. As a result, businesses can measure and appreciate significant cost and time savings. Also, these strategic improvements equip business leaders with the tools and confidence they need. They will be better able to make strategic decisions, backed by AI-driven data.

Automation and AI-driven data with UiPath Insights

By utilizing analytics to enhance operations and monitor KPIs, organizations can confidently expand their AI investments. This, in turn, can potentially lead to the development of new capabilities in AI and automation, further augmenting the organization’s efficiency and productivity.

In this context, UiPath Insights steps in as a pivotal tool. Insights is available via the UiPath Business Automation Platform. It offers real-time monitoring that provides a live feed of UiPath Orchestrator activities, a crucial feature for maintaining operational efficiency and reliability. In addition, Insights includes customizable alerts for processes, queues, and machines. These alerts act as a safeguard, ensuring all operations align with set expectations, making it a powerful tool in upholding performance standards.

UiPath Insights real-time monitoring completed jobs vs uncompleted jobs

For example, Crown Castle, the largest provider of shared communications infrastructure in the United States (U.S.), uses Insights to improve their operations by enabling proactive monitoring and issue resolution.

According to Crown Castle's Center of Automation, UiPath Insights has become an essential daily tool for their production support team, offering substantial value in monitoring and resolving issues. Key features include queue level monitoring, machine-level exception tracking, and timeline charts that help to visualize performance trends. Built-in dashboard templates and adaptive filters assist in focusing on relevant data, boosting productivity and user experience.

Consumed AI Units grouped by UiPath product

UiPath customers can now take advantage of the newly introduced AI Units dashboard within Insights. This dashboard offers an additional layer of control, allowing users to meticulously track their AI Units usage. Informed decision making, streamlined operations, and a path to success in the digital realm are all made accessible with UiPath Insights.

Real-time monitoring feature in UiPath Insights

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judy lee uipath
Judy Lee

Product Marketing Manager, UiPath

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