Are you tired of chatbots having no idea what you are talking about? Agentic AI can solve that problem and make this a thing of the past.
I’ll settle with less frequent!
PWC with a nice read that will help you better understand Agentic AI and why it’s a game-changer.
When A chatbot gives you bad answers, it is most likely because you deviate from the expected script. The bot has no knowledge beyond what is in its script.
Agentic AI is smarter because it can access additional agents (AI and non-AI) to actually solve the problem.
👉TAKEAWAYS
Agentic AI Advantages:
Enhanced decision-making
Agentic AI systems can analyse vast amounts of data quickly and accurately, providing valuable insights to inform better decision-making. Businesses can leverage these insights to optimise revenue and operations, identify market trends, and make data-driven decisions.
Boosted efficiency and productivity
Agentic AI can significantly enhance business efficiency and productivity by automating routine tasks and processes. This allows employees to focus on more strategic and creative activities.
Improved customer experience
By integrating agentic AI, businesses can offer personalised and responsive customer experiences. AI-driven chatbots and virtual assistants can provide instant support, answer queries, and even recommend products based on customer preferences and dynamic interactions.
👊STRAIGHT TALK👊
For an easy example of agenticAI, let's stick with chatbots and banking to show how accessing multiple agents can solve your problem.
Let’s say you ask an agentic chatbot for your bank balance.
Sure, the AI will query the account agent and tell you your balance.
Next, you ask about the rules for accounts needing foreign tax verification. The AI can access an FAQ agent where that data exists and answer.
Now, ask the agent if your bank balance is high enough to require foreign tax verification. Here’s where the magic happens: the agentic AI can query both sources to deliver an answer.
This is a game-changer as the AI has the ability to access data across agents, independently analyze it, and answer. It doesn’t need to stick to a script or search through existing answers.
While chatbots are an easy example, this same methodology can be applied to everything from bank regtech to healthcare imaging and, of course, Netflix figuring out what to show you next.
This is a game-changer.
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