Agentic Workflows AI Patterns, Use Cases, Examples, and Build with AI agents, Agentic AI, Agentic architectures, Agentic workflows

 What are agentic AI?

AI agents are systems that combine LLMs for reasoning and decision-making with tools for real-world interaction, enabling them to complete complex tasks with limited human involvement. Agents are assigned specific roles and given varying degrees of autonomy to accomplish their end goal. They are also equipped with memory, allowing them to learn from past experiences and enhance their performance over time.

Components of AI Agents

• Reasoning is Planning and Reffection 
• Prompt is Task and Role
• Tools is aVector Search Engine, Web Search, internet serach, vector search, Code interpreter and AIP
• Memory short-term and long-term

Type of Agentic Workflow

The Workflow is series of concept design to task and goal. The agentic workflow is a series of connected steps dynamically executed by an agent, or series of agents, to achieve a specific task or goal.

• Automatic workflow (role-base non ai)
• AI workflow (non agentic)
• Agentic Workflow

Step of workflow agentic

• make of plan
• execute action and tools
• Reflect and iterate

Pattern of workflow agentic

• planing pattern
• Tools use pattern
• Reflection Pattern

Benefits of Agentic Workflows

• Flexibility, adaptability, and customizability
• Improved performance on complex tasks
• Self-correcting and continuous learning.
• Operational efficiency and scalability.

Challenges and Limitations of Agentic Workflows

• Unnecessary complexity for simple tasks.
• Reduced reliability as a result of increased autonomy.
• Ethical and practical considerations.

Methodology of Agentic Workflows

Agentic workflow Methodology is 3 phase 

1. Pattern identification & analysis 
1. Searching
2. Selection
3. Snowballing
4. assessment
5. Data Extract
2. Known uses searching & mapping and 
1. Gray literature
2. Real world Application
3. Reporting
1. Context
2. Problem statement
3. Forces
4. Solution
5. Consequences
6. Knowleage

Engine of Agentic workflow

• Creator
• Passive goal creator 
• Proactive goal creator 
• Prompt/response
• Retrieval augmented
• One-shot model
• Incremental model
• planing
• Single-path plan
• Multi-path plan
• Reffection
• Self-reflection
• Cross-reflection 
• Human reflection 
• Role
• Voting-based cooperation
• Role-based cooperation 
• Debate-based cooperation
• Multimodal guardrails
• Tool/agent registry 
• Agent evaluator 

Use Cases of workflow agentic

• Agentic RAG
• Research Assistants Agentic
• Coding Assistants Agentic

Examples of workflow agentic

Claygent 

• Find your competitive edge via unique data & custom plays. 
• Custom prompts across all your tables
• First party data through custom MCP servers
• Take human-like research actions to scrape public data
• Research and enrich company data. Claygent can research any company based on its website or public information on the web. Find detailed information about customers, job positions, office locations, or whatever you can think
• Research and enrich people data
• Go from companies to people in one search. Do crazy things like finding customers named in company case studies and checking if they still work there.

ServiceNow AI Agents

ServiceNow AI Agents. a cloud-based platform that streamlines and automates workflows across IT, operations, HR, and customer service domains.