Artificial Intelligence has already transformed how we automate tasks, analyze data, and interact with technology. But we’re now entering a new era where AI systems don’t just respond to inputs but act purposefully.
Welcome to the age of Agentic AI.
What is Agentic AI?
Agentic AI refers to AI systems that are reactive, proactive, goal-driven, and self-directed. These agents can:
- Set and pursue objectives
- Break down tasks into steps
- Make real-time decisions
- Learn and adapt as they go
An agentic AI thinks and acts more like a human assistant or co-worker, capable of handling multi-step operations without constant oversight.
From Models to Agents: A Shift in AI Architecture
Most of today’s popular AI tools are powerful but passive. They wait for a prompt and then respond.
Agentic AI is different. It’s an orchestrator, capable of:
- Planning its actions
- Calling external tools or APIs
- Gathering information
- Updating its behavior based on feedback
This shift is what makes agentic systems suitable for complex workflows, not just single-turn responses.
Real-World Applications
IDC research found that over 50% of the enterprise application market is already AI assistant or AI advisor-enhanced, with about 20% incorporating complete AI agents. Here are some real-world applications:
Personalized Virtual Assistants
Assistants who can manage schedules, coordinate meetings, draft documents, and follow up with coworkers autonomously.
DevOps & IT Automation
Agents that detect issues in infrastructure, identify root causes, execute fixes, and monitor results—all without human input.
Customer Service Bots
Multistep agents that triage requests, access internal systems, resolve issues, and follow up proactively.
Marketing Automation
AI agents that plan campaigns, generate content, schedule posts, monitor performance, and optimize messaging in real time.
Key Enablers Behind Agentic AI
- Large Language Models (LLMs): Enable reasoning, understanding, and communication
- Vector Databases: Store and retrieve relevant context and memory
- Tool Integration: APIs, webhooks, and software connections for taking real-world action
- Orchestration Frameworks: Agents like Auto-GPT, LangChain, and CrewAI manage task flows
Keeping Pace with the AI Evolution with VMware Tanzu Platform
As the #1 Global Delivery Subcontracting Partner for VMware by Broadcom, ClearBridge has provided VMware Tanzu support for companies to modernize applications and infrastructure for faster software delivery, continuous improvement, and better developer experiences.
VMware Tanzu is a modern application platform that enables teams to build, run, and manage cloud-native apps across any cloud. With Tanzu, organizations can create the infrastructure foundation and developer experience needed to support the dynamic, containerized environments where Agentic AI thrives.
Key capabilities include:
- Kubernetes-native infrastructure for scalable AI agents
- DevSecOps pipelines for continuous deployment and monitoring of AI workloads
- Enterprise-grade governance and security to ensure responsible AI operations
- Cloud-native integrations for LLMs, vector databases, APIs, and more
Final Thoughts
Agentic AI represents the next major leap in artificial intelligence. By combining reasoning, memory, and action, agentic systems can transform work, from operations and customer service to development. It’s not just AI that answers questions, it’s AI that gets things done. With Tanzu Platform, businesses can quickly start to iterate, learn, and evolve their AI application strategy.
Need Agentic AI support? ClearBridge can help!
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