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3 min read

Increasing Levels Of Autonomy and Enterprise Impact With AgenticAI

Increasing Levels Of Autonomy and Enterprise Impact With AgenticAI

Since the dawn of computing, technology advancements have improved productivity, profitability and market impact directly through the automation of tasks and the ability to process large amounts of data, turning information into knowledge. Recent advancements in AI have eclipsed the previous 50 years of computing solutions and AgenticAI is the most recent transformative technology with the potential to revolutionize every industry.

Why should you care? According to industry analyst Gartner Group “By 2028, 33% of enterprise software applications will include AgenticAI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously.”

Imagine 15% of day-to-day decisions being made autonomously and the impact to productivity and profitability that will provide, and you have a primary reason to dig deeper into the value of AgenticAI for your organization.

What is AgenticAI and how to evaluate value

Put simply AgenticAI is a type of AI that focuses on impacting areas and systems that can make decisions and perform tasks without human intervention. Specifically empowering autonomous systems and actions to automatically respond to conditions, identify patterns and produce process results within governance and compliance constraints.

While traditional AI helps solve problems by providing a preprogrammed solution based and GenAI provides content based on the patterns it learned from sources like a Large Language Model (LLM), AgenticAI can act autonomously to plan, organize, and execute all the steps necessary to achieve a specific goal, even adapting to unforeseen challenges along the way.

But, as you can imagine, not all AgenticAI solutions deliver on all aspects of expected results. There are actually 3 levels of abilities that AgenticAI can realize:

  • SENSE: Deliver real-time insights with agents that augment human decision-making by connecting, interpreting, and surfacing data across silos—enabling users to ask questions in natural language, automate search, and summarize complex content.
  • DECIDE: Deliver optimized decisions with agents that are trained on enterprise data to recommend next-best actions and optimize resource allocation, forecasts, and planning processes—helping organizations drive better decisions at scale.
  • ACT: Deliver autonomous execution with agents that reach full autonomy—learning from data, simulating outcomes, and executing actions via APIs with human-in-the-loop oversight. These agents transform processes by automating not just insights but also enterprise actions.

Most cloud platforms now offer varying degrees of these abilities with tools to deliver Assistant Agents that “SENSE” and even some level of “DECIDE” for optimized decision making but lack the horsepower to reach full autonomy at the “ACT” level by learning from data, simulating outcomes, and executing actions. This is where new technologies to compliment and supplement platform tools like CoPilot with true AgenticAI at the “ACT” level come into play.

Use Case Exploration: demand planning reinforcement learning agents

Let’s explore a typical use case for demand planning reinforcement learning agents. In this diagram you can see the flow starts with the ingestion of data from multiple disparate sources that provides context so that natural language queries to Assistant Agents start a decision process that Autonomous Decision Agents can then expand upon to even provide automated execution of desire outcomes.

UBIX AgenticAI

It should also be no surprise that dependencies on legacy applications directly impact a company’s competitive position. So, modernization of these legacy systems has become a “need to have” for organizations looking to maintain their competitive standing and operational profitability. Instead of continuing down the path of proprietary solutions that require dedicated tools and resources, many are AI transformation projects to deploy new AgenticAI capabilities necessary to increase levels of autonomy and enterprise impact.

Realizing autonomy and enterprise impact in days not years

The good news is that you won’t have to wait months or even years to realize the benefits of AgenticAI. Emerging developments in zero-code, open source SaaS platforms enable true AgenticAI with a data intelligence cloud that reduces dependencies on proprietary systems and the costs of dedicated tools and resources without any business operations disruptions in days.

A data intelligence cloud is a cloud computing platform that leverages to power of GenAI, Reinforcement Learning and AgenticAI to enhance its capabilities and transform data into usable information accessible by the average person. Having the ability for an average business executive to “converse” with a machine using natural language (NLP) to get the analytics they need to gain actionable insights and make better decisions by inspecting hundreds of variables instantaneously from across all systems within the enterprise and combine that with data that is publicly available.

Vendors like UBIX deliver on the promise of a zero-code, highly scalable and flexible cloud architecture that leverages the best-in-class cloud technologies to democratize data and support modern data workloads, including analytics, AI, Reinforcement Learning and AgenticAI. A perfect fit for any AI transformation or intelligent cloud project. With an architecture that is designed to adapt to the varying demands of large and small enterprises, allowing them to scale up or down based on their specific requirements.

Learning how GenAI and emerging advancements like Reinforcement Learning and AgenticAI can deliver on the promise of a data intelligence cloud for increasing levels of autonomy and enterprise impact. Download our free eBook titled “5 Steps to AI Business Transformation Success” to help better understand the nuances of emerging AI concepts and technologies and offer a set of best practices for consideration to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–AgenticAI Readiness Workshop, you can contact one of our AI experts today.

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