AI Solution
AI-Powered Workflow and Process Automation
This solution automates operational processes through AI-powered decision engines, LLM integrations, event-driven architecture and intelligent workflows.
LLM Integration
LangChain / AI Orchestration
Node.js / .NET Core Web API
Microservices Architecture
Event-Driven Architecture
Workflow Engine
Vector Database
PostgreSQL / MongoDB
Redis
Docker & Kubernetes
REST & GraphQL API
Role-Based Access Control
Real-time Processing
Data Analytics & Reporting
Category
AI Solution
Technology
14 different technologies
Process
4 step approach
AI Solution
Project Approach
Project planning and development process
Every project is handled holistically with needs analysis, experience design, technical development and a sustainability approach.
01
STEP 01
Operational process analysis and data mapping
Enterprise workflows, recurring operations, decision points and data flows are analyzed in detail.
02
STEP 02
Smart workflow and AI decision engine design
LLM-assisted recommendation systems, automated decision mechanisms and user interaction scenarios are designed.
03
STEP 03
Integration, development and automation
API integrations, data sources and event-driven infrastructure are brought together to develop the system.
04
STEP 04
Performance optimization and continuous learning
System performance, processing times and output quality are monitored so models and processes can be improved continuously.