Agentic AI, powered by Large Language Models (LLMs), handles various tasks independently, streamlining workflows in real time. What’s more, it enables teams to engage in more deep knowledge work, by automating mundane tasks to give teams their time back to focus on the things they are truly brilliant at.

For example, did you know that “nearly 2 in 3 people (64%) say they struggle with having the time and energy to do their job—and those people are 3.5x more likely to also struggle with innovation and strategic thinking” according to this Work Trend Index Annual Report from Microsoft?

What is an AI Agent?

AI agents are digital tools with intelligent processing, going beyond standard automation. Adaptive and proactive, they can make decisions based on data and context, benefitting areas such as customer service, manufacturing, and healthcare. These agents continuously improve at complex tasks, whether answering customer questions, diagnosing issues, or optimising inventory.

Key Benefits and Applications

Here are some examples of how Agentic AI solutions are transforming work across manufacturing, Healthcare Management and Customer Service.

Customer Service and Experience

Across customer service and experience in many sectors, we are seeing AI agents revolutionise customer interactions by providing quick resolutions and managing high volumes of queries. In retail, for instance, these agents help troubleshoot, analyse feedback, and prioritise support, enabling teams to focus on more impactful tasks.

Smart Automation in Manufacturing

Manufacturing has seen AI agents drive predictive maintenance and quality checks. Accessing live production data, they can identify potential issues early, arrange preventive measures, and enhance supply chain visibility. This AI-led approach minimises downtime and improves resource use, boosting operational resilience.

Healthcare Management and Diagnostics

When it comes to use cases in the healthcare sector, AI agents have transformative potential, from patient diagnostics to administrative functions. They can track symptoms, highlight urgent updates, and simplify scheduling. They’re also adept at handling routine tasks, like managing records or coordinating care plans, allowing healthcare professionals to focus on direct patient interactions.

Moving Forward with Agentic AI: Getting started is easier than you think

Getting started with an Agentic AI proof of concept can be surprisingly straightforward and practical. Begin with a specific, manageable task—like answering customer queries or sorting data—within a department that could quickly benefit from automation. With the help of SimplyAI, our AI platform, you can choose your preferred foundation model, which could be from the likes of Azure OpenAI, Google Gemini, or Llama and with our specialist team's help, we will help you structure your data so that you can find value from your Proof of Concept deployment.

After we ingest your sample set of data into the SimplyAI platform, we'll test the agent’s performance on small tasks, iterating on settings if needed, and gather feedback from team members to identify improvements.

After running the pilot, we'll work with you to track the benefits—whether it’s quicker processing times or increased user satisfaction. By starting with a single task, you’ll gain experience with AI workflows, making it easier to expand and scale your Agentic AI approach across more areas of your business.

As Agentic AI solutions evolve, they’ll support more complex and dynamic industries, performing autonomous micro-tasks that enrich knowledge work. Their role in assisting and enhancing human capabilities will not only be key in knowledge-driven sectors across the world, but also industries where skills shortages are stunting growth, innovation and productivity.

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