Developing an AI strategy – successful implementation in the company
Brief description
This intensive, four-day AI strategy workshop shows managers and project managers how to systematically transform their company into an AI-ready organization. Participants develop a clear AI vision, define data and infrastructure standards, establish an innovation-friendly AI culture and design scalable use case roadmaps. Interactive exercises and practical frameworks deliver directly applicable results – from data governance to the business case. Maximum group size: 10 people for personal exchange and individual coaching.
Target group
Executives, digital and innovation managers, CDOs, data/IT managers and project and process managers who want to strategically anchor AI and scale it to create value.
Learning objectives
Participants can then:
Aligning an AI vision with corporate goals.
Prioritize suitable use cases and calculate business cases.
Define data strategy & governance for AI.
Establish an AI culture that promotes learning and develop talent.
Implement pilot projects iteratively and scale them company-wide.
Contents & Methodology
AI Readiness Check & Vision – Detailed maturity level analysis, comprehensive opportunity/risk assessment, derivation of a differentiated strategic positioning and formulation of a clear vision for the AI transformation.
Data & Infrastructure – Development of a holistic data strategy, data monetization, design of scalable cloud and on-prem architectures as well as introduction of MLOps pipelines, security & compliance processes.
Culture & Talent – Definition of modern role profiles, development of a company-wide upskilling program, practical change management and implementation of effective communication strategies to promote a sustainable AI culture.
Use case generation & prioritization – creative ideation techniques, evaluation according to feasibility and business impact, development of a use case backlog.
Use-Case Funnel & Business Cases – Systematic in-depth study: quantitative and qualitative evaluation, detailed ROI calculation and development of a KPI framework for measuring success and continuous optimization.
Rapid prototyping with AI tools – hands-on sessions, low-code platforms and prompt engineering to create working prototypes in hours (e.g. Lovable, v0)
Roadmap & Governance – Creating an actionable roadmap with clear milestones, planning pilot projects, scaling strategies across business units and building a center of excellence approach with governance model.
Methods: Keynote speeches, group workshops with canvas templates, live tool demos, rapid prototyping sprints, peer feedback and coaching slots.
** Impulse lectures, group workshops with canvas templates, live tool demos, peer feedback, coaching slots.
Organizational matters
Duration: 4 days, 09:00-17:00 (online or face-to-face)
Maximum number of participants: 10
Preparatory task: Maturity level self-check & short data inventory survey
Technology: Laptop, browser, access to collaboration tools (Miro / Mural)
Your added value
Concrete AI strategy & roadmap for your company
Data and infrastructure blueprint for scalable projects
Training & culture concept for employee empowerment
Pilot use case including business case & KPI set
Register now and make your company AI-ready!