AI-Automation-Sprint
Ein kompakter, branchenspezifischer Strategie-Sprint, der Chancen, strategische Risiken und konkrete Handlungsfelder für den Einsatz von KI in Ihrem Unternehmen strukturiert sichtbar macht – ohne Hype, dafür mit Klarheit und Entscheidungsreife.
Overview
We provide focused AI strategy and architecture services that help organizations move from ambition to execution—without analysis paralysis or compliance uncertainty. Our business-first, outcome-driven engagements deliver actionable decisions and production-ready foundations within 6 to 12 weeks, giving leaders the clarity, control, and momentum needed to scale AI with confidence.
AI Risk Exposure Workshop: 3 Executive Decisions to Reduce Business Risk
Identify where AI creates real exposure today — compliance, data leakage, brand trust, and financial downside — including Shadow AI and vendors.
Make three executive decisions: AI guardrails (what’s allowed vs. off-limits), accountability (who owns approvals and outcomes), and minimum safeguards (controls required to operate).
Leave with a 90-day risk-reduction plan: prioritized actions, named owners, and practical guardrails that prevent costly incidents.
AI Risk & Governance Assessment
We embed governance, security, and compliance into AI initiatives without slowing innovation.
Production-Ready Execution
Our services are designed to move AI from concept to scalable, real-world systems—not stalled pilots.
Focused services. Clear outcomes. Fast execution.
Each engagement is designed to give leadership clarity, control risk, and move AI initiatives forward—without unnecessary complexity.
AI Strategy & Value Definition
Most organizations struggle not with AI technology itself, but with identifying where AI can create meaningful business value. Without a clear strategy, AI efforts become scattered, unfocused, and difficult to justify.
Our AI Strategy & Value Definition service helps executive teams answer the critical questions: Where should we invest in AI? What are the highest-impact opportunities? How do we prioritize across competing use cases? What does success look like, and how do we measure it?
The outcome is a clear, actionable AI strategy document that includes an opportunity map, prioritized use cases with business cases, a high-level roadmap with investment estimates, success metrics and KPIs, and a go-forward plan for execution. This is not a theoretical strategy—it’s a decision-ready blueprint that enables leadership to allocate resources and move forward with confidence.
We deliver this work in focused sprints, typically lasting 2 to 4 weeks, ensuring that you have clarity fast without sacrificing rigor.
AI Governance & EU AI Act Readiness
Most organizations struggle not with AI technology itself, but with identifying where AI can create meaningful business value. Without a clear strategy, AI efforts become scattered, unfocused, and difficult to justify.
Our AI Strategy & Value Definition service helps executive teams answer the critical questions: Where should we invest in AI? What are the highest-impact opportunities? How do we prioritize across competing use cases? What does success look like, and how do we measure it?
The outcome is a clear, actionable AI strategy document that includes an opportunity map, prioritized use cases with business cases, a high-level roadmap with investment estimates, success metrics and KPIs, and a go-forward plan for execution. This is not a theoretical strategy—it’s a decision-ready blueprint that enables leadership to allocate resources and move forward with confidence.
LLM Security & Risk Review
Most organizations struggle not with AI technology itself, but with identifying where AI can create meaningful business value. Without a clear strategy, AI efforts become scattered, unfocused, and difficult to justify.
Our AI Strategy & Value Definition service helps executive teams answer the critical questions: Where should we invest in AI? What are the highest-impact opportunities? How do we prioritize across competing use cases? What does success look like, and how do we measure it?
The outcome is a clear, actionable AI strategy document that includes an opportunity map, prioritized use cases with business cases, a high-level roadmap with investment estimates, success metrics and KPIs, and a go-forward plan for execution. This is not a theoretical strategy—it’s a decision-ready blueprint that enables leadership to allocate resources and move forward with confidence.
We deliver this work in focused sprints, typically lasting 2 to 4 weeks, ensuring that you have clarity fast without sacrificing rigor.
AI Portfolio & Use-Case Management
Most organizations struggle not with AI technology itself, but with identifying where AI can create meaningful business value. Without a clear strategy, AI efforts become scattered, unfocused, and difficult to justify.
Our AI Strategy & Value Definition service helps executive teams answer the critical questions: Where should we invest in AI? What are the highest-impact opportunities? How do we prioritize across competing use cases? What does success look like, and how do we measure it?
The outcome is a clear, actionable AI strategy document that includes an opportunity map, prioritized use cases with business cases, a high-level roadmap with investment estimates, success metrics and KPIs, and a go-forward plan for execution. This is not a theoretical strategy—it’s a decision-ready blueprint that enables leadership to allocate resources and move forward with confidence.
We deliver this work in focused sprints, typically lasting 2 to 4 weeks, ensuring that you have clarity fast without sacrificing rigor.
Enterprise AI Architecture
Most organizations struggle not with AI technology itself, but with identifying where AI can create meaningful business value. Without a clear strategy, AI efforts become scattered, unfocused, and difficult to justify.
Our AI Strategy & Value Definition service helps executive teams answer the critical questions: Where should we invest in AI? What are the highest-impact opportunities? How do we prioritize across competing use cases? What does success look like, and how do we measure it?
The outcome is a clear, actionable AI strategy document that includes an opportunity map, prioritized use cases with business cases, a high-level roadmap with investment estimates, success metrics and KPIs, and a go-forward plan for execution. This is not a theoretical strategy—it’s a decision-ready blueprint that enables leadership to allocate resources and move forward with confidence.
We deliver this work in focused sprints, typically lasting 2 to 4 weeks, ensuring that you have clarity fast without sacrificing rigor.
Was Sie nach dem Sprint in den Händen halten
- Ein klares Bild, wo der KI-Markt gerade steht und was davon für Ihre Branche wirklich relevant ist
- Eine Einordnung, wie KI Ihre Wettbewerbslandschaft verändert: neue AI-native Player, Druck auf Wertschöpfungsketten, Auswirkungen auf Margen, Differenzierung und Kundenerwartungen – und ob Ihr Geschäftsmodell langfristig tragfähig bleibt
- Eine konkrete Antwort auf die Managementfrage: Wo kann KI in Ihrem Geschäftsmodell echten wirtschaftlichen Mehrwert erzeugen?
- Ihre Handlungsoptionen als Portfolio: kurzfristige Quick Wins, mittelfristige Initiativen, strategische Game Changer
- Eine pragmatische KI-Strategie für die nächsten 12–24 Monate inkl. priorisierter Initiativen, Pilotideen, Budgetrahmen und einer Governance-Grundstruktur
- Einen Überblick über relevante regulatorische Anforderungen (high level)
Format & Ablauf
Jedes Projekt ist darauf ausgelegt, der Führungsebene Klarheit zu verschaffen, Risiken zu kontrollieren und KI-Initiativen voranzutreiben – ohne unnötige Komplexität.
Session 1 (60 Min.) Standortbestimmung & Zielsetzung
Inhalt:
- Kurzes Kennenlernen & Erwartungsklärung
- Aktuelle KI-Nutzung im Unternehmen
- Strategische Ziele der Geschäftsführung
- Wahrgenommene Chancen & Sorgen
- Wettbewerbsumfeld und Marktposition
Ergebnis: gemeinsame Ausgangslage, Zielbild und präzise strategische Fragestellungen.
Session 2 (120 Min.)
Strategischer Deep Dive
Inhalt:
- Branchenanalyse & Disruptionspotenziale (Marktverschiebung, Wettbewerber, Wertschöpfung, Margen/Differenzierung)
- Strategische Use-Case-Priorisierung (Business Impact vs. strategisches Risiko, Quick Wins vs. Transformation)
- Organisationsfähigkeit (Daten- & Prozessreife, Entscheidungsstrukturen, Kompetenzlücken, strategische Abhängigkeiten)
Ergebnis: priorisierte strategische Handlungsfelder, Klarheit zu Disruptionsrisiken und eine Roadmap-Struktur.
Session 3 (60 Min.)
Ergebnispräsentation & Diskussion
Inhalt:
Zusammenfassung der Erkenntnisse
Bewertung der Auswirkungen auf Markt und Geschäftsmodell
Top 5 priorisierte Initiativen
Strategische Risiken & Absicherungsbedarf
90-Tage-Empfehlung
Ergebnis: klare Entscheidungsgrundlage und ein konkreter nächster Schritt.
Latest News
Latest in AI Governance & EU AI Act News
