What are Agentic AI Frameworks?

by Chris Martin

Agentic AI frameworks are emerging as a transformative approach in the automation landscape, particularly with the integration of Large Language Models (LLMs). These frameworks enable LLMs to operate autonomously, controlling workflows and making decisions based on real-time data and contextual understanding.

In Netcall’s guide about agentic AI frameworks, you’ll learn about:

1. What are agentic AI frameworks?
2. How do agentic AI frameworks work?
3. How does Liberty use agentic AI frameworks?
4. Agentic AI frameworks in action
5. The Liberty platform AI advantage.

What are agentic AI frameworks?

Agentic AI frameworks generally refer to theoretical structures or approaches that emphasise human “agency” – meaning the capacity of an individual to act independently and make their own free choices. This is where the term “agentic” originates from.

While Forrester tells us that “AI agents will soon demonstrate enterprise value, particularly when integrated into complex long-running business processes”, some people will be cautious, instinctively worrying that agentic AI frameworks will not comply with their internal policies and sector legislation. The risks and challenges of agentic AI frameworks are greatly reduced by a platform approach. A platform with an Agentic AI framework, which delivers specific capabilities, helps to address these concerns, in comparison with deploying an AI Agent.

For a closer look at this technology, read our dedicated guide: What is Agentic AI?

How do agentic AI frameworks work?

An agentic AI framework acts as the cognitive operating system for an autonomous agent. While a standard LLM waits for a prompt to respond, a framework provides the structure for the AI to think, plan, and act.

An agentic AI framework acts as the cognitive ‘brain’ for autonomous systems. Unlike standard AI that simply responds to prompts, this agentic AI technology follows a continuous loop to complete complex goals:

1. Goal Setting: The framework translates a high-level objective (e.g., “Onboard this customer”) into actionable steps.
2. Reasoning & Planning: It breaks the task into subtasks and determines which tools, such as an API or a database, are needed.
3. Execution (Tool Use): Within an agentic AI platform like Liberty, the agent autonomously triggers RPA bots or low-code workflows to pull data or update records.
4. Reflection: The agent checks its own work. If an error occurs, it self-corrects and iterates until the goal is met.

How does Liberty use agentic AI frameworks?

With an agentic AI framework powering our Liberty platform, we’re not just enabling automation – we’re empowering businesses to reimagine their processes in a way that feels seamless, intelligent and (dare we say it) quite human.

What sets the Liberty platform apart is its unique position as an end-to-end platform encompassing all the critical tools that businesses need to succeed in this new era of automation. Whether it’s delivering exceptional customer experiences in the contact centre solution, empowering citizen developers to build applications in low-code, or automating processes with RPA, AI underpins it all.

The platform is designed to adapt and evolve with the demands of modern organisations. Liberty’s interconnected solutions make it the perfect foundation for Fextagentic frameworks, offering unparalleled integration and intelligence across every touchpoint.

Let’s explore how some of Liberty’s suite of solutions work together, leveraging agentic frameworks, turning bold ideas into tangible results.

Agentic AI frameworks in action

Customer support automation with Liberty Converse

Liberty Converse, our omnichannel contact centre solution for customer engagement, becomes even more powerful as it is infused with agentic frameworks powered by AI. Imagine a bustling contact centre where every customer interaction is personalised, swift and impactful without exhausting your human agents.

1. Autonomous issue resolution: AI can enable Liberty Converse to resolve customer queries autonomously. For example, when a customer reaches out about an issue with their broadband service, Converse (fuelled by AI) can analyse the complaint, consult troubleshooting guides, review account history and propose a solution—all without needing a human agent to intervene. If the situation calls for human expertise, the system seamlessly escalates the case, providing the agent with all the necessary context to avoid any back-and-forth.
2. Proactive engagement: Customer journeys can be enhanced with proactive interactions. Suppose AI in Converse prompts you that a customer repeatedly visits a specific section of a retailer’s website but hasn’t yet made a purchase. Converse can step in, armed with insights from AI, to send a timely, tailored recommendation. Perhaps with a discount or additional product information, to nudge the customer towards conversion.

Low-code revolution with Liberty Create

Liberty Create, our low-code platform, empowers organisations to develop tailored applications. And it’s powered with an agentic AI framework, making the apps smarter, more responsive and integral to your workflows.

1. Smart patient engagement: Take an NHS practice using Patient Hub, our patient engagement portal, which was built in Liberty Create. Once implemented, it actively monitors patient behaviour to predict and mitigate missed appointments. For instance, if a patient frequently reschedules or cancels, Patient Hub logs them as a risk for non-attendance, using AI. The system springs into action: it sends a personalised reminder, updates the database and notifies the consultant. This is without human intervention, operating autonomously, controlling workflows and making decisions based on real-time data and contextual understanding to proactively improve attendance rates, and providing peace of mind for everyone involved.
2. Effortless data management: Post-appointment, using AI, Patient Hub summarises the consultant’s notes, cross-checking them against historical data to spot potential issues. For example, recurring symptoms could prompt the system to recommend a follow-up or flag patterns for further analysis. This enables healthcare providers to focus on patient care while ensuring nothing important slips through the cracks.

Smarter RPA with Liberty RPA

Liberty RPA, our robotic process automation software, takes automation to the next level by integrating external data, generating insights and executing tasks autonomously—all while working seamlessly with other Liberty solutions.

1. Data-driven marketing: A retail business can leverage RPA in its marketing strategy. Liberty RPA logs into social media platforms, scans reactions to recent campaigns and summarises feedback. If customers rave about a particular tone or visual style, this is analysed by AI to adjust future content accordingly. This insight flows into a Liberty Create app, where the marketing team selects the next campaign. Liberty RPA wraps up by scheduling and posting content automatically.
2. Streamlined procurement: For housing providers, Liberty RPA simplifies procurement. It logs into supplier platforms, extracts pricing and stock information and delivers insights to Tenant Hub, our low-code solution for housing providers. If essential materials run low, the system autonomously orders them, keeping projects on track. By eliminating manual steps, Liberty RPA ensures that both tenants and contractors benefit from uninterrupted service.

The Liberty platform AI advantage

Agentic AI frameworks enrich every product in the Liberty platform, creating powerful synergies across our entire suite. It doesn’t just add intelligence – it seamlessly connects workflows, optimises processes and enhances capabilities by allowing each product to leverage insights and actions from the others.

For example, imagine a customer logging a complaint via Liberty Converse. Liberty Create generates a bespoke workflow to address the issue, Liberty RPA automates the necessary follow-up actions, and agentic AI frameworks refines the process over time, based on feedback. Together, these solutions don’t just solve problems – they evolve with the organisation’s needs, delivering a service that feels seamless and responsive.

A human touch to automation

At Netcall, we believe agentic frameworks aren’t about replacing human ingenuity. They amplify it.

Our enterprise AI platform, Liberty AI, built into the Liberty platform, enhances customer experiences, empowers non-technical teams to create applications, and strengthens operational resilience. It lightens your load so you can focus on what matters most.
By embedding generative and agentic AI directly into your workflow.

Ready to see it in action? Request a demo today.

About the author

Chris Martin

Product Owner (Liberty AI)

Chris serves as the link between artificial intelligence development and product at Netcall, bringing AI features to life. After studying Machine Learning at university, he launched his career as an ML engineer at international firms, working closely with executives and senior teams. That experience naturally led him into product management, where he has also undergone formal training. Today, Chris combines his technical background with a product-focused mindset to drive Netcall's AI roadmap and ensure its solutions deliver real value.