An AI agent is an autonomous or semi- autonomous software entity that perceives its environment, process information, and
takes actions to achieve specific goals using artificial intelligence techniques.
Gathers input from external sources [ Sensors, databases, APIs, User queries].
Processes information using logic, machine learning, or heuristics
Determines the best course of action based on objectives.
Interacts with the environment (via APIs, automation, or robotics).
Improves performance over time using feedback
Respond instantly based on predefined rules e.g. chatbots,recommender system
Plan actions using AI models orlogic-based reasoning e.g. autonomous robots
Multiple agents working togetherfor problem- solving (e.g financial trading bots).
Mimic human-like reasoningand adaptability e.g AI-powered assistant like ChatGPT
End User
Request / Query
Ai Agent
Camera
Text
Audio
Senser
Memory
KB
Decision Making
Task Execution
Task Execution
Task Execution
End User
Request / Query
Ai Agent
Camera
Text
Audio
Senser
Memory
KB
Decision Making
Task Execution
Task Execution
Task Execution
Ai Agents
Within enterprise + 3rd party
Ai Enterprises
LLM Based
Non LLm Based
Ai Agents
Within enterprise + 3rd party
Ai Agents
Ai Agents
Ai Agents
Popular Gen AI tools are built on public data and does not work well on internal enterprise data
Every enterprise is unique. To stay Ahead of the curve they need a custom AI Strategy.
Bigger enterprises needs the AI datasets to be strictly within their control with fine gained access.
Enterprise Apps
EAI
I/O
Prompts
API GATEWAY
Corporate AI Agent Type1
Corporate AI Agent Type
Tools Registry
No categories provided.
Use Case Formulation Under Progress
Enterprise AI
Strategy
AI Product
Management
Model Training / fine Graining
Quality Assurance
Development
Continuous Re Training
Monitoring and Feedback
Enterprise AI and AI Agentic Frameworks.
