Agentic AI

What is Agentic AI?

Agentic AI is the evolution of artificial intelligence from insights to actions.

Traditional AI can analyze data and provide recommendations.

Agentic AI goes further: it understands goals, plans the steps to reach them, adapts to new information, and executes across connected systems.

In short: where traditional AI provides insights, Agentic AI delivers results.

The Concept of

Prompts

Prompts are the instructions that shape how an AI agent behaves. They act as the bridge between human intent and AI execution.

There are different types of prompts:

• User Prompts 

  • Direct requests from humans (e.g., “Create a weekly sales report”)

• System Prompts 

  • Background rules and constraints that guide the AI (e.g., “Always validate data against CRM before reporting”)

• Role Prompts 

  • Assigning a perspective or persona to the AI (e.g., “You are an IT Consultant. Provide recommendations in a professional, advisory tone”)

Simple vs. Best-Practice Prompts

Simple Prompt:
“Generate a sales report.”

Best-Practice Prompt:
“You are a Business Analyst. Generate a weekly sales report for the EMEA region using CRM data. Include revenue, top 5 deals, and trends compared to last week. Format as a table. Validate all figures against the finance database before finalizing.”

Result:

• Simple Prompt → Generic, incomplete report

• Best-Practice Prompt → Accurate, validated, business-ready output

High-quality prompts turn AI from a drafting tool into a decision-ready partner.

Why Prompts Matter in Agentic AI

The way you design prompts directly impacts the quality of the output. Prompts influence:

• Clarity 

  • Does the AI understand the goal?

• Consistency 

  • Does the result align with business rules?

• Safety 

  • Does the agent stay within defined boundaries?

• Validation 

  • Has the data been checked before delivery?

Best Practices for Creating Prompts

• Assign a Role 

  • Anchor the AI with a perspective

• Be Specific 

  • Define exactly what you need

• Provide Context 

  • Reference relevant systems, regions, or use cases

• Set Boundaries 

  • Define tone, length, or compliance rules

• Add Validation 

  • Instruct the AI to cross-check results

• Iterate 

  • Refine prompts over time for reliability

Leading platforms already enable businesses to deploy Agentic AI:

• OpenAI GPT-based Agents 

  • Language-driven reasoning and orchestration

• Microsoft Copilot & Azure AI 

  • Enterprise-ready AI integrated into Microsoft tools

• UiPath AI Center 

  • AI models combined with RPA for intelligent automation

• Appian AI & Pega AI 

  • Low-code BPA platforms embedding AI-driven workflows

• LangChain & AutoGen 

  • Frameworks for building custom AI agent systems

Providers of Agentic AI

Agentic AI marks a turning point: from AI as a tool to AI as a collaborator. These digital agents bring intelligence, adaptability, and autonomy to domains far beyond automation, reshaping how businesses, governments, and individuals operate.

Organizations that embrace Agentic AI early will not only achieve efficiencies but also unlock new forms of innovation and problem-solving, from smarter healthcare systems to adaptive education platforms and intelligent financial advisors.

Key Takeaway: Agentic AI doesn’t just automate, it augments human capability, enabling a future where people and intelligent agents work side by side to solve the world’s most complex challenges.

Thoughts of Agentic AI

The AI era has only just begun, and Agentic AI is its boldest step forward. By combining prompts, reasoning, and autonomy, these systems move from passive assistants to active collaborators.