How EasyManage AI Works

EasyManage AI is a platform that helps to analyze data with AI, get actionable insights and make stronger decisions. It allows chat interface to input queries in plain English and receive insights, reports and charts, without coding.

What Does EasyManage AI Do?

• EasyManage AI enables you to get instant actionable insights from across all your data.
  • EasyManage AI connects to databases and generates AI-Ready Data product modules along with Agentic AI systems.
  • So that you can build Agentic Workflows and Enable AI Integrations to Legacy Systems in days.
• The generated code is yours, no lock-in. So you can extend and customize it fully.

• Key Capabilities

		Chat interface	←		←	Input queries in plain English
AI-Ready Data		MCP Tools , APIs	→ ←	Connect	→ ←	[ Databases like PostgreSQL, MySQL, SQL Server. Or Data warehouses like snowflake ]
		↑ ↓ Add Context
Agentic AI		AI Agents, AI Workflows	→ ←	AI Systems and LLMs	→ ←	[ Any LLM, Mix LLMs ]
		↓ → Unified Data Insights	→	Plus Proactive insights	→	[ Share Responses, Reports, Charts ]

Who Uses EasyManage AI?

EasyManage AI is helpful for Businesses of all sizes, Startups, Agencies, SMEs and Enterprises, across various industries.

Roles In Organizations

Purpose	Role
Set up EasyManage AI account • Connect it to your data sources • Build agentic AI systems & MCP Servers, Backend • Download generated code	No-Code Developer
Extend and customize Agentic AI systems	Developer (Optional)
Make available Agentic AI systems via chat or integrate into existing apps	No-Code Developer and Developer (Optional)
Use Agentic AI Systems • Chat with LLMs • View Reports, Charts	Business users

​

EasyManage AI vs Other Solutions

​ EasyManage AI lets you Build Agentic Systems Pre-configured for your Data. Unlike other solutions, it enables:

AI-Ready Data In Minutes With Enterprise Features:

• No more data silos! ✅
• Zero-Copy ✅
• Zero-ETL Federation ✅
• Pushdown Predicates ✅
• Pushdown Joins ✅
• Pushdown Limit/Top-N ✅
• Cross-database ✅
• Data Modeling ✅
• Optimized Nested Data ✅

Get optimized and trusted data for AI Systems and LLMs to perform Best!

• Real-time Data ✅
• Context-Rich Data ✅
• Ensures Models Perform Reliably ✅
• Explainable Outcomes ✅
• Stronger Decisions ✅

Architecture Overview

EasyManage AI helps you Build And Deploy AI Agents With Zero-copy Data. Get Instant MCP Server For Any Data.

Agentic AI Platform

EasyManage Agentic AI Platform lets you Build And Deploy AI Agents With Zero-copy data.

info

• Agentic AI

  • Agentic AI refers to the orchestration and execution of agents that use Models (LLMs) as a "brain" to perform actions.
  • Agentic AI systems can break down complex objectives into sub-tasks, adapt to context given and use tools to execute multi-step processes to achieve its goals.

• AI Agents

  • AI Agents are the building blocks of Agentic AI. Use one or more AI Agents together to achieve higher-level goals.

• AI Workflows

  • AI Workflows are kind of agents where Models (LLMs) and tools are orchestrated through predefined code paths.

Agentic AI Stack

The tech stack for AI agentic workflow development consists of layers with key components that enable developers to build, deploy, and manage agentic AI solutions.

Presented here is brief on Core Components and Key Technologies.

Agentic AI Tech Stack Layers

Layer	Purpose	Key Technologies	Example Frameworks/Tools
Model Layer	Models that power AI capabilities	Large Language Models (LLMs)	OpenAI's GPT models, Anthropic's Claude, open-source models e.g. Ollama.
Memory/Context Layer	Manages memory for context awareness and learning from history.	Vector Databases	PostgreSQL pgvector
Action/Tool Layer	Enables agents to interact with external systems, MCP Tools, APIs, and data sources.	MCP Tools	Spring AI MCP
		APIs: REST, GraphQL	Spring Boot - REST, GraphQL
		Zero Copy Data
Orchestration Layer	Bring all components together, manage workflows and agents.	Agentic AI Building Frameworks	Spring AI
Observability & Governance	For monitoring, ensuring safety & compliance.	Frameworks	Spring Observability & Governance Tools
Infrastructure/Deployment	For running and scaling the agents.	Cloud Platforms: Any.	Containerization: Docker, Kubernetes.

How EasyManage Fits in Agentic AI Stack

• When building Agentic AI solutions using EasyManage, see How EasyManage helps in Agentic AI Stack.
  • EasyManage AI : For No-Code building Agentic AI, MCP Servers.
  • EasyManage No-Code : For No-Code buiding Backend REST, GraphQL.

Layer	Key Technologies	EasyManage Tool	How EasyManage Fits
Model Layer	Large Language Models (LLMs)	EasyManage AI	Use Any Model, Can Mix LLMs in agentic workflows.
Memory/Context Layer	Vector Databases	EasyManage AI	Pre-Configured for using PostgreSQL pgvector
Action/Tool Layer	MCP Tools	EasyManage AI	Build MCP Tools for any data.
	APIs: REST, GraphQL	EasyManage No-Code	Build REST/GraphQL APIs.
	Zero Copy Data	EasyManage No-Code	APIs built with zero copy data architecture.
Orchestration Layer	Frameworks: Spring AI	EasyManage AI	Build Agentic AI
Observability & Governance	Frameworks: Spring		Integrate and use any tools.
Infrastructure/Deployment	Cloud Platforms Containerization		Use any cloud platform Provided DevOps, Docker scripts

Product Packs

How EasyManage AI Products Are Used Together? Here are primary packs of EasyManage AI products used together and their benefits.

The Data-Driven Agentic AI Pack

• Products
  • Agents & Dashboard
  • AI Agents - Agent Server
  • MCP Server
  • Backend
• How They Work Together
  • EasyManage AI enables building no-code Agentic workflows. These agents pull live data from data sources to get actionable insights. You can publish these Agents in Apps and share with end-users. App users use these Agentic AI apps and share insights and resports via dashboard.

Embedded Agents Pack

• Products
  • AI Agents - emagent, emchat
  • MCP Server
  • Backend
• How They Work Together
  • EasyManage AI enables multiple agents to collaborate—using agentic patterns. These agents pull live data from data sources to get actionable insights. You can embed these Agents Apps into your products or use via command line or chat interface.

The AI-Ready Data Pack

• Products
  • MCP Server
  • Backend
• How They Work Together
  • EasyManage AI enables getting Instant Insights From Your Data. Build no-code MCP Servers. These MCP server tools pull live data from data sources, that can be used by any MCP-supporting AI Tools, e.g. Cursor. Get actionable insights, also discover opportunities with Proactive Insights.

AI Agents - Spring Java

Are based on Spring AI project Spring AI Docs

Agent Types

AI Agent emagent

• Agentic System Workflows with all supported agentic patterns, with access to MCP Tools

AI Agent emchat

• Chat Agent with access to MCP Tools

Agent Server

From Agents & Dashboard: Agent Project uses companion Agent Server to Run Agents.

AI Agents Configuration

LLM Providers & Models

All Supported LLM Providers & Models as per Spring AI are supported, see in docs Spring AI Docs

e.g. OpenAI, Anthropic, Ollama.

• Configuration

• Agent Server : Default Configuration

  • Provider: OpenAI
  • Default Model: As per your key
  • Choose Model At Runtime ? : Yes, From same Provider

tip

To check OpenAI models available for your API Key OPENAI_API_KEY, Run:

curl https://api.openai.com/v1/models -H "Authorization: Bearer <OPENAI_API_KEY>"

• emagent and emchat : Default Configuration
  • Provider: OpenAI
  • Default Model: As per your key

Customize and Extend

• Easily Customize Agents For
  • Configure Another Provider
  • Choose Different Providers and Models At Runtime

Can Implement:

• Configure Multi LLM Providers and use Mix-LLM models in one workflow.
• Configure security OAuth2

MCP Server - Spring Java

Please see details at MCP Servers

• MCP Server For REST
• MCP Server For GraphQL