Transform Manual Workflows Into Intelligent Automated Systems
AI automation consultant in Geneva specializing in intelligent process automation, AI-powered document processing, and workflow optimization. I combine robotic process automation (RPA) with machine learning to eliminate manual bottlenecks, reduce errors by up to 90%, and deliver measurable ROI within weeks. 8+ years implementing automation solutions for Swiss enterprises.
Proven ROI — clients achieve 40-70% cost reduction on automated processes
Intelligent document processing with 95%+ extraction accuracy using AI/ML
End-to-end workflow automation from assessment to deployment and monitoring
Custom chatbot and virtual assistant development with LLM integration
AI-powered quality control and anomaly detection systems
Change management expertise ensuring smooth team adoption
Integration with existing ERP, CRM, and enterprise systems (SAP, Salesforce)
Scalable architecture — start small, scale to enterprise-wide automation
Geneva-based with deep understanding of Swiss business processes and compliance
Identify, design, and implement AI-powered automation for high-impact business processes. Combine RPA with machine learning to handle complex, decision-heavy workflows that traditional automation cannot address — from invoice processing to compliance checks.
Deploy intelligent document processing (IDP) systems that extract, classify, and validate data from invoices, contracts, forms, and unstructured documents. Leverage OCR, NLP, and custom ML models to achieve 95%+ accuracy and eliminate hours of manual data entry.
Build conversational AI agents powered by GPT-4, Claude, or custom fine-tuned models for customer support, internal helpdesks, and knowledge management. Multi-language support, escalation workflows, and integration with your existing communication platforms.
Design and implement automated workflows that connect disparate systems, route approvals, trigger notifications, and handle exceptions intelligently. From simple task chains to complex multi-department orchestrations with human-in-the-loop checkpoints.
Implement machine learning-based quality control systems that detect defects, anomalies, and deviations in real-time. Applicable to manufacturing, financial data, customer service metrics, and any domain requiring consistent quality standards.
Build AI systems that automate complex business decisions — pricing optimization, risk scoring, resource allocation, and demand forecasting. Combine rules engines with ML models for transparent, auditable, and continuously improving decision-making.