1. • AI chatbots use generative AI to provide responses based on a single interaction. A person makes a
query and the chatbot uses natural language processing to reply.
• The next frontier of artificial intelligence is agentic AI, which uses sophisticated reasoning and iterative
planning to autonomously solve complex, multi-step problems. And it’s set to enhance productivity and
operations across industries.
• An AI agent for customer service, for instance, could operate beyond simple question-answering. With
agentic AI, it could check a user’s outstanding balance and recommend which accounts could pay it off
— all while waiting for the user to make a decision so it could complete the transaction accordingly
when prompted.
• Agentic AI systems ingest vast amounts of data from multiple data sources and third-party applications
to independently analyze challenges, develop strategies and execute tasks. Businesses are implementing
agentic AI to personalize customer service, streamline software development and even facilitate patient
interactions.
Class Notes
2. Info
Agentic AI uses a four-step process for problem-solving:
1.Perceive: AI agents gather and process data from various sources, such as sensors, databases and digital
interfaces. This involves extracting meaningful features, recognizing objects or identifying relevant entities in
the environment.
2.Reason: A large language model acts as the orchestrator, or reasoning engine, that understands tasks, generates
solutions and coordinates specialized models for specific functions like content creation, visual processing or
recommendation systems. This step uses techniques like retrieval-augmented generation (RAG) to access
proprietary data sources and deliver accurate, relevant outputs.
3.Act: By integrating with external tools and software via application programming interfaces, agentic AI can
quickly execute tasks based on the plans it has formulated. Guardrails can be built into AI agents to help ensure
they execute tasks correctly. For example, a customer service AI agent may be able to process claims up to a
certain amount, while claims above the amount would have to be approved by a human.
4.Learn: Agentic AI continuously improves through a feedback loop, or
“data flywheel,” where the data generated from its interactions is fed into the system to enhance models. This
ability to adapt and become more effective over time offers businesses a powerful tool for driving better
decision-making and operational efficiency.
