Expert guidance on implementing AI in your energy infrastructure – from use case identification to ROI realization and change management.
Book Consultation →Unsere Experten helfen Ihnen, die richtigen AI-Technologien auszuwählen und erfolgreich in Ihre Energieinfrastruktur zu integrieren. Von der Use-Case-Identifizierung über die Technologie-Auswahl bis zur ROI-Berechnung und Change-Management – wir begleiten Sie durch den gesamten KI-Transformationsprozess.
From initial assessment to production deployment – strategic guidance at every stage of your AI journey.
Comprehensive evaluation of your organization's AI readiness across data infrastructure, team skills, processes, and governance. Identify gaps and create prioritized roadmap for AI adoption. Typical duration: 2-3 weeks.
Request Assessment →Facilitated workshops to identify high-value AI use cases specific to your operations. Evaluate feasibility, impact, and effort. Prioritize projects using our proprietary scoring framework. Output: 3-5 prioritized use cases with business cases.
Book Workshop →Design data pipelines, storage architecture, and governance frameworks for AI/ML workloads. Covers data quality, lineage, versioning, and MLOps practices. Ensure your data foundation supports AI at scale.
Design Architecture →Independent evaluation of AI platforms, tools, and vendors for your specific requirements. RFP support, proof-of-concept design, and vendor negotiations. Save 6-12 months of trial-and-error.
Get Recommendations →Detailed financial modeling of AI investments including TCO analysis, benefit quantification, risk assessment, and NPV/IRR calculations. Build compelling business cases for stakeholder buy-in.
Calculate ROI →Design AI organizational structure, define roles (data scientists, ML engineers, etc.), and create upskilling programs. Hands-on training workshops tailored to your tech stack and use cases.
Build AI Team →A regional utility (500k customers) engaged us for AI strategy development. Our readiness assessment identified 12 viable use cases across customer service, grid operations, and trading. We prioritized 4 high-impact projects and built detailed business cases. Result: Board approved €12M AI investment fund. First project (chatbot for customer service) went live in 6 months, handling 40% of inquiries.
A manufacturing conglomerate wanted to deploy predictive maintenance AI across 50+ plants but struggled with vendor selection. We conducted RFP process, evaluated 8 platforms, and ran POCs with 3 finalists. Recommended solution reduced deployment time from 24 months (vendor estimate) to 6 months (actual). Total savings vs. initial vendor quote: €800,000.
A real estate company struggled with fragmented building data across 200+ properties. We designed unified data architecture, implemented IoT data lake, and established governance framework. This enabled 6 AI applications (HVAC optimization, occupancy prediction, maintenance forecasting). Cumulative 3-year ROI: 340% (€4.2M savings on €1.2M investment).
Schedule a consultation with our AI energy experts to discuss your strategic initiatives and build your AI roadmap.
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