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Agentic AI’s ability to self-direct basically means it doesn’t require step-by-step instructions to carry out complex tasks. By learning from experience and understanding context, it can make informed choices. The autonomous ability to define its own workflow and interact with external environments to solve complex problems has enterprises excited about its possibilities.
That all sounds wonderful, but how far have we come and what is possible today in practical business terms?
It’s only been in the last two years that Generative AI tools (ChatGPT, Claude, Gemini, DeepSeek, Perplexity, and others) have entered the mainstream in a big way. These tools, driven by large language models (LLM), are great for content creation (code, text, images, audio, video).
Their limits soon became obvious around the requirement for human prompts and no ability to execute multi-step workflows autonomously. Agentic AI fills this gap by making decisions and acting independently.
You can find multiple surveys of IT leaders saying anywhere from 30 to over 50 percent of their respondent organizations are adopting or deploying Agentic AI over the next two years. But like every other advancement, its only as useful as its ability to transform real business outcomes. So, we should start with understanding what it really is, how it’s structured, and its current real-world capabilities.
The first thing to understand is Agentic AI refers to a broader system that is driven by AI agents (AI-driven software programs), where each agent has specific capabilities, such as:
Agentic AI’s structure is a system of systems. Each agent is purpose-built to handle specific functions like perception (gathering data), reasoning (analyzing and deciding), and action (executing tasks). They work individually, but also together in orchestrated flows to complete complex objectives.
The architecture is built around modularity, scalability, interoperability through agent communication, and reinforcement learning to improve decisions and outcomes.
These systems organize agents into subagents and primary agents. Subagents focus on specialized tasks while a primary agent oversees them, manages coordination, and ensures outputs from each agent feed into the next step in the workflow.
Agentic AI’s ability to handle increasingly complex operations with minimal human input or oversight requires clear design based on:
With that perspective, let’s look at some of today’s real-world use case possibilities.
Like generative AI before it, Agentic AI is no silver bullet for every situation. The key is finding the right use cases where its proven strengths can apply to real-world business outcomes. These outcomes would be based on speed, efficiency, accuracy, and analysis via specific actions within complex processes and environments.
Agentic AI is the latest tool battling IT architectures complexity. It does this by bringing a level of autonomic, proactive, and adaptive management to workflows. This can include AI-powered self-healing systems for sufficiently autonomous vulnerability remediation and incident resolution. These and other applications work to reduce downtime, increase efficiency, improve security, optimize performance and lower costs.
Gartner predicts Agentic AI will resolve 80 percent of customer service issues by 2029. The big question is, where do you apply it to get the best results?
Agentic AI systems can integrate goal-specific AI agents with third-party apps, such as CRM, ERP, communication tools, and platforms to collect relevant data. They can each do their part in complex customer support process for:
This can play out in countless ways across different customer support workflows and interactions. It depends on the level of Agentic AI system integration with existing applications, platforms, and systems.
Agentic AI and AI agents can transform security and threat management by bringing a higher level of autonomy to complex areas like:
Agentic AI transforms Back-office team and functions spanning finance, HR, legal, IT, and operations where data volumes and compliance process challenges are greatest. Agentic AI can operate in similar ways on a broader scale for BFSI, mortgage, and capital markets sectors.
The reality of moving from the possible to the practical becomes clearer with examples of how sectors can and are using Agentic AI today.
A telco can automate tier-1 NOC tasks by leveraging Agentic AI to streamline operations and improve efficiency, including:
By automating incident resolution and resource management, agentic AI can contribute to building self-healing networks, which can automatically identify and resolve issues with minimal human intervention. These Agentic AI approaches reduce manual intervention in complex systems, lower operating costs, improve predictive maintenance and uptime, and enhance customer satisfaction across complex systems.
BFSI, Personalized Financial Planning and Capital Markets use Agentic AI for:
Over 40 percent of total hospital expenses are administrative costs, according to the American Hospital Association. Healthcare AI agents can bridge the gap between administrative and care time and cost savings through:
Medical device manufacturing can also see many benefits from analyzing huge data streams from thousands of devices to:
Every sector with a sound planning and implementation strategy can achieve big Agentic AI benefits like:
The foundation of any Agentic Ai strategy is accounting for implementation challenges.
Organizations must have a sound strategy for dealing with challenges integrating Agentic AI systems into their operations, starting with:
At Solugenix, we partner with you to move beyond the hype of Agentic AI to the reality of what is possible, practical, and drives real business outcomes. Most solutions today are semi-autonomous rather than fully autonomous, but they can still deliver important business benefits to organizations. The goal is to make better products, services, and workflows. We start by asking, does it serve the users better?
We focus on partnering with organizations to help guide Agentic AI adoption in our specific sector areas of expertise, which include:
The same approaches apply in healthcare, BFSI, capital markets and retail sectors where we have a long history of innovation and digital transformation success.
Our goal is to help organizations plan and implement it within digital transformations that deliver futureproof workflows and business outcomes. We build our approach on understanding the difference between Agentic AI hype and real outcomes based on the proven reality that:
The near future of Agentic AI and AI agents are the multi-agent ecosystems with agents collaborating with each other to achieve complex objectives through orchestration. Multimodal AI (which we will discuss in the next blog) will begin merging with RPA to enable seamless, end-to-end workflows with unified multimodal processing.
Agentic AI marketplace platforms will connect buyers and sellers of AI-powered agents for easier discovery of what works for specific business needs. A current example is Hugging Face enabling teams to upload, find, and download pre-trained AI models in over 35 different tasks and use them with simple API calls.
Other platforms and applications with embedded Agentic AI and AI agent orchestration are already being introduced. These include pre-built agentic AI platforms, hardware, frameworks, and tools from major tech vendors. Some include ServiceNow’s AI Agent Orchestrator and various cloud provider solutions.
AutoGPT helps teams with creation, deployment, and management of AI agents that automate complex workflows. Others like LangChain’s open-source frameworks offer rapid deployment and measurable return on investment. These platforms will enable groups of specialized AI agents to work together in achieving specific complex goals.
Understanding where we are with Agentic AI and where we’re going can make for a complex roadmap for any organization. Plotting the right course based on specified workflows and business outcomes is about moving from decision support to decision execution.
Are your systems ready to think and act on your behalf?
Contact the experts at Solugenix for a consultation to explore pilot opportunities.
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Solugenix
Technology & Process for Growth
601 Valencia Ave, Suite 260
Brea, CA 92823
Call us: 1-866-749-7658
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