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AIAutomationForecastingChatbotEnterprise
AI Control Center for Business Processes
Full visibility into operations, catching issues early
Role:AI Architect & Lead AI-Engineer
Duration:12 months
>20%
Faster operations
Real-time
Full visibility
4 weeks
First prototype
AI Chatbot
For docs, processes & KPI analysis
The Context
A large company lacked oversight of their interconnected business processes. Data was scattered across different systems, and problems were often noticed only when it was already too late.
The Challenge
- 1No overview of running processes
- 2Data had to be manually gathered from various systems
- 3Problems and bottlenecks were detected too late
- 4No connection between individual process steps
The Approach
- 1Analyzed all existing data sources
- 2Built a central data platform
- 3Developed live dashboards with ML-based anomaly detection and KPI forecasting
- 4Built an AI lifecycle management infrastructure for model training, deployment, and monitoring
- 5Developed an AI chatbot for documentation questions, process inquiries, and custom KPI analysis
Technologies Used
PythonAzureTime Series AnalysisWeb-Based DashboardsGPT
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