AI has come a long way from simple rule-based systems to powerful chatbots like GPT-4. But now, we are moving toward Agentic AI that doesn’t just answer questions but acts on its own, makes decisions, and learns over time.
🔹 What is Agentic AI?
Unlike traditional AI that waits for instructions, Agentic AI can take initiative. It can:
✅ Break big tasks into smaller tasks and steps
✅ Make efficient decisions based on real-time data
✅ Can improve over time
🔹 Why Does This Matter?
For Technical Program Managers (TPMs) and engineering leaders, this could change how we work:
📌 Software Development: AI that fixes bugs and improves code, drastically reducing the cycle time
📌 Operations: AI that predicts and prevents system failures, generates Alerts.
📌 Customer Support: In customer support by better understanding customer query and solve on the go without human interaction
📌 Project Management: AI that tracks progress day in and day out and flags risks automatically
📌 Cybersecurity: Agentic AI can monitor networks, systems, and user behavior to detect unusual data transfers or malware activity and take immediate actions by blocking malicious IPs, isolating compromised systems, or enforcing stronger authentication, all without human intervention.
🔹Although, there can bea few potential Challenges:
âš Can we trust AI to make accurate decisions?
⚠How do we make sure it’s ethical and unbiased?
âš How do humans and AI work together effectively?
AI is no longer just about answering questions; it’s about taking action and autonomous problem-solving.
How do you see Agentic AI changing the way we work? Let’s discuss!
👇 hashtag#AI hashtag#AgenticAI hashtag#Automation hashtag#TPM hashtag#AIInnovation
Rahul Kumar - Driving Tech Success 