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