Enterprise AI

AI Strategy

An AI strategy is the structured plan through which a company purposefully deploys artificial intelligence for value creation. It defines prioritized use cases, required resources, data foundations, governance policies, and a roadmap for phased implementation — aligned with business objectives and organizational maturity.

Why does this matter?

Without an AI strategy, companies invest in isolated pilot projects that rarely reach production. A well-considered strategy prioritizes use cases by ROI and feasibility, avoids duplication, and creates the organizational prerequisites for sustainable AI value creation. For mid-sized businesses, it is the compass between hype and real business value.

How IJONIS uses this

We develop your AI strategy through a structured workshop process: analysis of current state and data landscape, identification of quick wins and long-term transformation projects, technology selection, and creation of a roadmap with clear milestones. The result is an actionable plan — not a PowerPoint graveyard.

Frequently Asked Questions

Does every company need its own AI strategy?

Yes. A generic off-the-shelf AI strategy does not work because every company has different data, processes, and bottlenecks. The strategy must be tailored to your specific value chain — from available data to your employees' readiness.

How long does it take to develop an AI strategy?

A solid AI strategy for mid-sized companies typically takes 4-6 weeks: assessment, workshops with business units, technology evaluation, and roadmap creation. The first quick-win use case can already start as a prototype in parallel.

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