Agentic AI vs. Chatbots: Beyond Q&A for Business Automation

Chatbots: The AI Breakthrough

The speaker explains that chatbots made AI accessible to everyday people and were a significant breakthrough, but they are only the beginning of AI's potential.

Chatbots are Reactive, Not Active

It's clarified that chatbots are reactive, responding to prompts, which is useful but doesn't handle the multi-step actions required for most business work.

Introducing Agentic AI

The concept of agentic AI is introduced as AIs that plan steps, execute tasks, and complete workflows within defined guard rails and permissions, effectively 'doing the work'.

Intern vs. Junior Teammate Analogy

A powerful analogy is used: a chatbot is like an intern who only talks, while an agent is like a junior teammate who can actually perform tasks with oversight.

Rapid Growth of Agentic AI

Gartner's prediction is cited: 33% of enterprise software will include agentic AI by 2028, up from less than 1% in 2024, showing rapid adoption.

Chatbot vs. Agent in Practice

A concrete example demonstrates the difference: a chatbot provides an email template, while an agent finds stalled deals, drafts personalized emails, logs activity, and stages for human review.

The Importance of Integrations

The speaker emphasizes that neither chatbots nor agents work effectively without being able to connect to actual systems and data, setting up the next topic on integrations.