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.”

Result:

• Simple Prompt → Generic, incomplete 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:

• 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

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?

The way you design prompts directly impacts the quality of the output

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

• OpenAI

  • leads agentic AI with systems that can autonomously plan, reason, and execute multi-step tasks using tools, APIs, and real-world software environments

• Microsoft

  • delivers enterprise-grade agentic AI through frameworks like AutoGen and Copilot Studio, enabling coordinated multi-agent workflows deeply integrated with Azure and Microsoft 365

• UiPath

  • combines agentic AI with robotic process automation to create autonomous agents capable of adapting, deciding, and executing business workflows at scale

• Adept AI

  • focuses on agentic AI that can operate software interfaces like a human, allowing autonomous agents to complete complex tasks across multiple applications

• Moveworks

  • applies agentic AI to enterprise operations by enabling autonomous resolution of IT, HR, and business requests across internal systems

Providers of Agentic AI

Leading platforms already enable businesses to deploy 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.