Von Proof-of-Concept bis zur Produktiv-Einführung mit vollständigem Training, Support und Wissenstransfer – wir liefern funktionierende KI-Lösungen.
Proven methodology that takes AI projects from concept to production with minimal risk and maximum impact.
4-6 week sprint to validate technical feasibility and business value. Build prototype with subset of data, demonstrate core capabilities, and quantify expected ROI. Go/No-Go decision point before full investment.
Start POC →2-3 month implementation at limited scale (single site, department, or asset). Production-grade architecture with monitoring and security. Gather user feedback, measure KPIs, and refine before scaling.
Launch Pilot →Full-scale deployment across all sites/assets with CI/CD pipelines, automated testing, and blue-green deployments. Includes load testing, disaster recovery, and compliance validation (ISO 27001, GDPR, etc.).
Scale to Production →Comprehensive training programs for data scientists, ML engineers, and operations teams. Hands-on workshops, documentation, runbooks, and code walkthroughs. Ensure your team can maintain and extend the AI system.
Train Your Team →Set up model versioning (MLflow/DVC), experiment tracking, feature stores, and automated retraining pipelines. Real-time monitoring of model performance, data drift, and concept drift with alerting.
Setup MLOps →3-6 month hypercare period with dedicated support team. Performance tuning, bug fixes, user training, and continuous optimization. SLA-backed response times and escalation procedures.
Get Support →Let us handle your end-to-end AI implementation – from POC to production with full training and support.
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