Agentic AI marks the new frontier in automation. Because unlike AI chatbots which just search answers from databases or AI agents - that can perform one task, Agentic AI systems can basically understand, reason and take actions on multiple problems autonomously.
And the implications are HUGE!
For example, agentic AI for customer support - can operate beyond simple FAQ. It can upsell, cross sell, help customers edit account information or even act as an advisor when needed. Agentic AI can be the brand’s representative that is with the customer on click of a button.
Research papers define Agentic AI as autonomous artificial intelligence systems capable of pursuing complex goals with limited direct supervision. Agentic AI systems are designed to independently perform tasks, make decisions, and take actions on behalf of users or other systems by designing their own workflows and utilizing available tools
Agentic AI is different from other forms of AI in the sense that agentic AI acts independently, makes decisions autonomously and can mimic human actions without human interventions.
Recent research by Bommasani et al. (2023) indicates that agentic systems demonstrate three critical capabilities absent in earlier AI:
- Persistent goal orientation - maintaining focus on objectives despite changing conditions.
- Internal state management - developing and refining mental models.
- Autonomous planning - creating multi-step plans without human guidance.
How does Agentic AI work?
Agentic AI systems consist of several crucial components working together to make decisions:
Perception Module
This component collects and processes data from various sources, using techniques like computer vision and natural language processing to understand the environment.
Cognitive Module
The system's "brain" analyzes data, establishes goals, and plans actions using sophisticated reasoning algorithms. This often employs what researchers call "chain-of-thought reasoning"—breaking complex problems into logical steps.
Action Module
This component executes decisions through digital interfaces or physical actuators, allowing the system to affect real change.
Memory Systems
Persistent storage allows the agent to learn from experiences, maintain context, and improve over time—a critical feature for truly autonomous systems.
Dr. Melanie Mitchell from the Santa Fe Institute notes in her research, "The difference between simple AI and agentic AI is the latter's ability to maintain an internal state that evolves through experience, allowing for increasingly sophisticated decision-making."
How does Agentic AI differ from traditional AI systems?
Let’s dive into how Agentic AI differs from traditional AI and generative AI systems.
Traditional AI systems are basically rule based - programmed AI systems that need human intervention. These systems are trained for only one specific purpose and will fail if given a task. It's like a chess program that follows specific rules to determine the next move
Whereas, generative AI - can create new content based on its training data. Something like ChatGPT. You can ask them to write a poem on “how rain falls on stones” or a children's story with certain characters in it. But, if you ask it to add a new user to your insurance policy - it might not be able to do that.
Now, coming to Agentic AI. Agentic AI can set goals, make decisions, and take independent actions to achieve objectives, adapting to changing circumstances along the way.
Simple example: Imagine a travel assistant AI that doesn't just answer questions about flights but actually plans your entire trip. You tell it, "I want to visit Paris for a week in October with a budget of $3,000." The agentic AI would : research flight options, select the best flight tickets, check weather forecasts, book your flights, transportation and stay - while provisioning detailed itineraries so you can enjoy the trip to the fullest!
The differences become even clearer when we look at industry applications:
For example, let’s compare using all the three kinds of AI in customer service:
- Traditional AI: A basic FAQ bot that matches keywords to pre-written answers
- Generative AI: A chatbot that creates natural-sounding responses to customer questions
- Agentic AI: A virtual assistant that not only answers questions but can access customer accounts, process refunds, recommend products, escalate issues to human agents when necessary, and follow up with customers later—all without human intervention
If we use all 3 AI systems in healthcare:
- Traditional AI: A system that flags abnormal test results based on predetermined thresholds
- Generative AI: A tool that creates detailed patient summaries from medical notes
- Agentic AI: A care coordinator that monitors patient data, schedules follow-up appointments, orders tests when indicated, alerts providers to concerning trends, and sends personalized health reminders to patients
The progression from traditional to generative to agentic AI represents increasing levels of autonomy and capability. While traditional and generative AI are powerful tools that require human direction, agentic AI functions more like a partner that can take initiative and solve problems independently.
How can agentic AI help businesses?
By 2028, 33% enterprises will use agentic AI in one form or another and deliver up to 2.3X more growth as compared to lagging competitors. 78% execs believe agentic AI will become a key form of competitive advantage within 3 years!
Agentic AI can help businesses become streamlined, automate manual tasks as well as improve efficiency of their human teams going forward. Let’s take a look at how agentic AI can help businesses briefly.
Automate any process
Businesses using agentic AI report a 27% average increase in operational efficiency compared to traditional automation approaches. Agentic AI can automate any manual task and help businesses eliminate decision bottlenecks like loan eligibility checks, fact checking incoming documents like verification of customer documents, and more.
Make your customer support human
Agentic AI is the best candidate for customer support as it can take decisions on it’s own, help any customer 24/7, on all channels while providing personalized, contextually aware service. Too many jargons. What it means is - your customers won’t have to wait on call for human assistance. Agentic AI systems can do everything that humans can - within seconds and with low errors. Using agentic AI for customer service can reduce customer wait times to minutes, increase FTR by 80% all while slashing costs by 88% or more! Alltius specializes in using agentic AI for customer service. See how it works.
Help your agents in real time
Perhaps most importantly, research shows that agentic AI excels not at replacing humans but at creating more effective human-AI teams. Teams combining human specialists with agentic AI assistants solve complex problems 41% faster than either humans or AI working independently. Organizations using collaborative intelligence frameworks report 57% higher employee satisfaction and 39% greater retention of key talent (Deloitte Human Capital Trends, 2024)
Agentic AI systems can help customer support agents solve customer problems quickly with pre-drafted answers. Whereas, for sales agents, agentic AI can help them handle sales objections over call, or send follow up emails automatically or even call the prospects to determine their interest using voice ai agents! All these tasks help agents become more efficient by removing all manual hurdles from their daily tasks and ensuring that they focus only on helping customers.
The possibilities are endless.
How to get started with agentic AI?
Agentic AI can help enterprises, insurance companies, financial and banking institutions improve their processes exponentially for their customers as well as their teams. With the ability to have impact on customer support, sales, writing software, automating manual tasks and more - agentic AI can have effects on bottom as well as top line.
Alltius AI makes it easy for enterprises, insurance companies, financial and banking institutions to get started with Agentic AI. Our platform helps you create agentic AI systems tailored to your needs, that work on your systems, integrate with entire backends while being extremely compliant.
Alltius stands at the forefront of agentic AI implementation, delivering solutions that go beyond theoretical possibilities to create real business impact. Our approach focuses on practical applications that drive measurable results across industries.
Unlike traditional automation tools or basic AI assistants, Alltius's agentic AI systems are tailored for financial institutions, have domain specific expertise & are based on decades of research that can:
- Operate autonomously with minimal human supervision
- Adapt to changing conditions in real-time
- Navigate complex decision trees based on business objectives
- Continuously learn and improve from each interaction
For customer support alone, Alltius's agentic AI extends far beyond answering basic questions. Our solutions can perform 400+ tasks like: upsell, cross-sell, help customers modify account information, and serve as comprehensive brand representatives available instantly at the click of a button.
Contact Alltius today to discover how our solutions can transform your operations, enhance customer experiences, and drive sustainable competitive advantage through the power of autonomous, intelligent systems.
