Informat AI Agent
— Automation Engine × AI Assistant: Building an Enterprise-Grade AI Automation Platform
I. Why Choose Informat AI Agent?
As AI workflow platforms such as Dify and Coze attract widespread attention, the Informat AI Low-Code Platform goes beyond simply adding AI workflow capabilities. It integrates AI deeply into real enterprise business systems.
Unlike platforms that focus solely on orchestrating AI prompts and API calls, Informat AI Agent = Enterprise Business Systems × Automation Engine × Large Language Models × MCP Capabilities.
In one sentence:Dify turns AI into workflows; Informat turns AI into productive digital employees for the enterprise.
II. Informat AI Agent Architecture
┌────────────────────────────────────┐
│ AI Agent │
│ ┌────────────┐ ┌──────────────┐ │
│ │ AI Assistant││ Automation Engine││
│ │ (Reasoning/Decision)││ (Process/Orchestration) │ │
│ └────────────┘ └──────────────┘ │
│ ↑ ↑ │
│ ┌────────────┐ ┌────────────┐ │
│ │ Data Tables/ │ │ MCP Server │ │
│ │ Business Systems││ External Capabilities │ │
│ └────────────┘ └────────────┘ │
└────────────────────────────────────┘
III. AI Assistant Capabilities (The Intelligent Core)
3.1 What Is the AI Assistant?
The Informat AI Assistant is an AI agent with enterprise context awareness. Rather than serving as a single-session chatbot, it:
- Understands your business model
- Retains knowledge of your data structures
- Participates continuously in business processes
- Can be invoked by automated processes at any time
3.2 Native Understanding of Business Data (A Core Advantage)
✅ Data Tables as Knowledge Bases—No Additional Modeling Required
The AI Assistant natively understands business data tables in Informat, including:
- Table structures, including field types and meanings
- Relationships between primary, child, and related tables
- Permissions and data isolation
- Real-time business data
Supported operations:
- Query
- Insert
- Update
- Delete
IV. Automation Engine Capabilities (The Execution Layer)
4.1 Automation Is More Than a Simple Workflow
Informat Automation is an enterprise-grade process engine, not merely a tool for connecting nodes.
It supports:
- Conditional branching
- Parallel execution
- Loops
- Scheduled triggers
- Event triggers
- Exception handling and compensation
- Data table CRUD operations
- Workflows
- Dashboards
V. MCP Server: Connecting AI to the Real World
5.1 Informat Can Both Call MCP and Provide MCP Services
Informat AI Agent can operate as:
- An MCP Client
- An MCP Server
VI. Canvas Orchestration: Visual AI Automation
6.1 A Unified Visual Canvas
Informat AI Agent uses a unified visual canvas that brings the following capabilities together in one orchestration interface:
- 🤖 AI model calls
- 🔁 Automation process orchestration
- 🧠 AI reasoning and decision-making
- 🗂 Business data table operations
- 🔌 MCP Server tool calls
- 🌐 External APIs and webhooks
In one sentence: The same canvas connects thinking (AI) with execution (automation) from end to end.
6.2 Core Node Types on the Canvas
1️⃣ AI Assistant Node
- Supports natural-language instructions
- Supports structured output using JSON or schemas
- Supports contextual memory
- Can read process context, business data, and variables
Example uses:
- Determine whether a process should proceed to the next step
- Generate business decisions
- Output parameters required by subsequent nodes
2️⃣ Automation Process Node
- Conditional logic (If/Else)
- Parallel execution
- Loop processing
- Scheduled triggers (Cron)
- Event triggers, such as data or status changes
3️⃣ Data Table Node (A Core Enterprise Capability)
- Query data
- Insert data
- Update data
- Delete data
- Enforce permissions and tenant isolation
The key difference from platforms such as Dify is that these operations act on real business databases, not temporary context variables.
4️⃣ MCP Tool Node
- Calls external MCP Servers
- Calls third-party AI capabilities
- Connects to maps, reports, search services, and enterprise systems
6.3 Complete Canvas Example (Text Version)
AI Customer Follow-Up Agent:
[Scheduled Trigger]
↓
[Query CRM Customer Data]
↓
[AI Assistant: Analyze Customer Status]
↓
[Conditional Logic]
├─ High Intent → [Generate Follow-Up Suggestions] → [Notify Sales]
└─ Low Intent → [Start Nurturing Process]The entire process:
- Requires no code
- Uses visual nodes throughout
- Creates a closed loop of AI decision-making and automated execution
6.4 From Proof of Concept to Production
The Informat canvas is not a demo tool. It is a business engine designed to run directly in production systems, with support for:
- High concurrency
- Permission controls
- Logging and auditing
- Exception rollback and compensation
VII. Fundamental Differences from Dify and Coze
7.1 Different Product Positioning
| Platform | Core Positioning |
|---|---|
| Dify / Coze | AI workflow orchestration platform |
| Informat AI Agent | Enterprise-grade AI automation platform |
Dify addresses how to use AI. Informat addresses how the business operates.
7.2 Core Capability Comparison
| Comparison Dimension | Dify / Coze | Informat AI Agent |
|---|---|---|
| AI workflows | ✅ | ✅ |
| Automation capabilities | ⚠️ Basic | ✅ Enterprise-grade |
| Data sources | Documents / APIs | Real business data tables |
| Permission system | Basic | Enterprise-grade RBAC / Multi-tenancy |
| Complex processes | Limited | Parallel execution / Loops / Events |
| MCP capabilities | Client only | Client + Server |
| Custom development | Limited | Extensive low-code and extension capabilities |
| Production readiness | PoC / Supporting use cases | Core business systems |
7.3 A Generational Difference in MCP Server Capabilities
Dify / Coze:
- AI can call external tools
- The platform cannot serve as a capability provider
Informat AI Agent:
- AI can call external tools
- The platform can also expose business capabilities to external systems
For example, capabilities such as customer lookup, order creation, and process approval can be published directly through an MCP Server for external AI systems to call.
7.4 Different Target Users
| Platform | Primary Users |
|---|---|
| Dify / Coze | AI application developers |
| Informat AI Agent | Enterprises, business system teams, and platform teams |
7.5 In One Sentence
Dify is an orchestration tool for AI; Informat is an onboarding platform for AI in the enterprise.
In Informat, AI has:
- Permissions
- Data
- Processes
- Responsibilities
- Outcomes