Swap’s Agentic Automation Guide

AI is rapidly transforming how businesses operate, with agentic automation emerging as the next frontier. Going way beyond traditional bots and scripts, this new approach leverages intelligent agents that can perceive context, plan tasks, and make autonomous decisions, all with minimal human input.

79% of senior executives say AI agents are already being adopted in their companies. Additionally, 66% of adopters report increased productivity, and more than half are seeing cost savings, faster decision making and improved customer experience.

As adoption accelerates, 96% of enterprises say they plan to expand their use of agentic AI within the next year. Agentic automation unlocks a powerful shift, from static workflows to dynamic, goal-driven systems that learn and adapt over time.

In this guide, we'll break down what agentic automation really means, how it works, and why it's quickly becoming a cornerstone for forward-thinking organisations, particularly those exploring agentic process automation, AI workflow orchestration, and next-gen platforms like agentic commerce or agentic shopping systems.

What is Agentic Automation?

Agentic automation is the latest evolution in automation technology. It empowers AI agentic software agents to act autonomously, using tools like using tools like large language models (LLMs), generative AI, and large action models (LAMs) to understand goals, assess situations, and complete tasks without step-by-step instructions.

Agentic automation allows systems to learn from their environment, adapt in real time and make decisions based on changing data.

These agents can perceive context, ask questions, reason through problems, and dynamically structure the steps needed to reach a goal.

This opens the door to automating complex, unpredictable workflows that were previously considered too variable to automate. From customer support and IT ops to ecommerce and finance, agentic automation extends the reach of intelligent systems to handle high-value, end-to-end business processes.

For example, in travel booking, an agentic commerce platform could take a high-level request like “plan a weekend getaway to Barcelona on a budget”

It would search for the best flight and hotel deals, consider user preferences from previous trips, compare options in real time, and complete the booking process.

How does Agentic Automation Work

Agentic automation takes advantage of multiple advanced technologies, combining LLM’s and LAM’s that decide what actions to take and carry them out. Generative AI is then used to create content such as text, images or ideas.

Here’s how a typical agentic automation system works:

• Goal Recognition: The agent receives a high-level goal such as resolving a customer issue or to optimize inventory levels
• Context Gathering: It pulls data from multiple systems: databases, APIs, user history etc
• Dynamic Planning: Based on the goal and available context, the agent breaks down tasks and chooses the best method to achieve success.
• Action Execution: The agent triggers tools, APIs, RPA bots, or AI models to perform tasks in sequence or parallel.
• Monitoring and Adaptation: It evaluates outcomes in real time, correcting courses or escalating as needed.

These systems are often designed using a broader agentic automation framework that includes memory, feedback loops, and even human-in-the-loop escalation logic.

Agentic Automation Example

To bring this to life, consider an example in ecommerce where an AI agent is managing a customer’s return and refund request.

1. Goal RecognitionThe agent receives a high-level goal: process a return and issue a refund.
2. Context GatheringIt checks the customer’s order history, product details, shipping data, and previous interactions.
3. Dynamic PlanningThe agent determines that the item is eligible for return and identifies the fastest resolution path based on company policy.
4. Action ExecutionIt initiates the return request, updates the CRM, sends the return label to the customer, and issues a refund via the payment gateway.
5. Monitoring and AdaptationIf the return is delayed or the refund fails, the agent automatically follows up or escalates to a human agent as needed.

This end-to-end process happens without the customer needing to navigate what could be a complex support system.

Swap Commerce’s agentic shopping platform featured advanced capabilities which structured ecommerce product data to be readable & interpreted by AI agents.

It enables autonomous systems to understand, compare, and surface relevant products dynamically across voice, chat, and embedded channels, powering a truly agentic shopping platform.

This means customers will be involved in an immersive experience where the agentic shopping platform will recommend customers products based on their user behaviour.

Benefits of Agentic Automation

Agentic automation is gaining traction across industries because of the tangible business benefits it delivers. These include:

Scalability

Agentic automation can scale across departments and geographies, adjusting dynamically to handle higher workloads without compromising quality.

Improved Customer Experience

By responding in real time and personalising interactions, agentic systems improve customer satisfaction and retention. This means shoppers receive instant, tailored support and product suggestions based on their behaviours or preferences.

Product Discovery

Agentic systems make it easier for customers to find the right products quickly. By interpreting natural language queries, understanding user context, and surfacing relevant items in real time, they improve the speed and quality of discovery.

Smarter Inventory Management

Agentic automation can track inventory across channels, predict demand using historical and real-time data, and trigger replenishment workflows automatically. This helps prevent stockouts, optimise storage, and ensure that customers can reliably access available products.

Agentic Automation with Swap Commerce

Agentic automation marks a major leap forward in how businesses interact with their customers and manage internal operations. By combining various AI technologies, these systems go beyond traditional automation to deliver intelligent actions at scale.

Businesses adopting agentic automation technology early will be well positioned to lead smarter processes and stronger customer experiences. Swap Commerce with their new agentic ai capabilities is helping brands to become AI agents ready to unlock the real benefits of agentic shopping.

Book a demo with Swap Commerce today and prepare your brand's future with Agentic AI.