The rise of agentic AI

Artificial intelligence is a rapidly evolving landscape. Generative AI has only just made its debut, but already pushing its way onto center stage now is a new and refined technology – agentic AI. Enterprises are still largely hesitant to adopt AI in the first place, with 56% of businesses only now embarking on their AI journeys.

Further hesitance towards agentic AI is anticipated, so understanding what it is and how it can transform your business workflow, and enhance value creation is vital.

The artificial intelligence most people are familiar with is generative AI, a subset of AI that uses generative models to produce text, images, videos or other forms of data. Generative models make use of available knowledge to generate outputs when prompted. While capable of assisting employees with some tasks, such as improving the wording in written documents or assisting with coding tasks, a human is still needed to prompt, guide, and oversee what the models produce before they can have any real use.

Now, given the rise of agentic AI, the relationship between humans and AI in the workplace stands to be transformed from one defined by instruction, to one defined by collaboration.

Broadly defined, agentic AI is artificial intelligence that has the ability to make use of other AI models autonomously. Using the information available to it to solve problems, make decisions, and take action where necessary. Instead of only performing tasks when prompted, it takes its own initiative to perform tasks to achieve a defined goal.

The tasks AI agents can perform are multifaceted. From designing software, crafting and sending emails, and developing marketing plans; to process optimization and even fraud detection. AI agents’ ability to understand intent behind instruction has set them up to fill an important role in almost any industry.

Finding the best agent match for your business

At the centre of the discussion about agentic AI is the inevitable restructuring of almost all industries that will occur if agents are in fact widely adopted. In order not to fall behind, it is important that businesses understand how best to implement agentic AI to give them a competitive advantage.

The idea of letting an autonomous AI model run loose in your systems evokes fear that, instead of setting up that meeting with your boss, the agent decides its efforts are better placed using business funds to buy the latest Porsche.

An AI agent is only as powerful as the tools you equip it with. Through fact-injection features, you are able to control what information the agent uses to inform its decisions and guide interactions with customers. This prevents any risk of sensitive data being shared and also mitigates the risk of hallucinations, which might otherwise place the credibility of your brand on the line.

Keeping it personal with bots

Businesses should implement AI agents in a way that won’t wash away brand identity in a river of automation. How do you avoid all interaction with customers being reduced to a robotic, monotone engagement?

ecosystem.Ai’s agentic capability, Ecogentic, incorporates tools like journey-building, fact-injection, recommender creation, dynamic experimentation as well as other tools on the ecosystem.Ai Prediction Platform for immediate injection into your existing data pipeline.

Backed with the concept of ecogenetics, which views all processes as interconnected within an ecosystem, Ecogentic equips your system with adaptability and a consideration for the human in the system.

This enables hyperpersonalization in all interactions with an agent. By applying behavioral analytics, backed by computational social science, agents can adjust recommendations in real-time; making offers continuously relevant to the customer. Ecogentic’s agentic capabilities can also assist in performing tasks necessary to get your customer to where they want to be.

For a personal interaction, it is important that no two interactions are the same. By applying the Interaction Science Module, made available by ecosystem.Ai’s Prediction Platform, the agent can adjust the tone and style of messaging, and various other elements, to cater to a customer’s preferences, making them more receptive to any offers that may follow.

Informed by tools such as the Intelligent Sales, Interaction Sciences and Spend Personality Modules, Ecogentic can create a more holistic picture of who your customer is and what they desire. Ecogentic’s use cases are dependent on where you choose to apply its capabilities, but here are some areas of your business the agent can transform:

Getting to know your customer

By implementing mass engagement experiments, such as A/B and multivariate testing, agentic AI can gain a more intimate understanding of your customers. Informed by the Interaction Science Module, engagement can then be adjusted accordingly.

Guiding customer journeys

Use a freeflow chat to determine customer goals, or adopt a more focused stance by taking your customer from a specific point of entry to achieving their desired goal. With the ability to recognise intent, agents have the flexibility to change track where needed.

Personalized, automated marketing

Agents can push out personalized marketing messages by analysing customer behaviour in real-time, adjusting the marketing approach accordingly. Equipped with Modules such as Spend Personality, agents can target customers in a way most suited to them and implement tactics such as behavioral nudging.

Process optimization

Agents can automatically pick up on inefficiencies or weak points in your system and take action where needed.

Using Ecogentic to build agents

By leveraging solutions like Ecogentic, businesses can stay ahead of the curve in the AI race, maintaining both scalability and personalization. Ecogentic works to enhance rather than replace the human touch, which grows ever more relevant in a world shifting towards automation. Those who harness the power of agentic AI in the right way won’t just keep up with the competition – they’ll set the pace.