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ENTERPRISE AI ROLLOUT PREPARATION

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How Mid-Sized and Large Companies Can Prepare

Whether you have already rolled out your AI solutions across the enterprise, or are starting to think about it, review our essential preparation roadmap for a high-impact AI rollout. Our step-by-step downloadable guide outlines actionable tasks, ownership roles, and key metrics to track progress and accountability. 
At Caspius, we know that a high-impact AI rollout isn’t just about installing software, it's about reshaping how your company operates. And that demands leadership, structure, and strategic focus from the very beginning.

Define a Clear AI Vision and Business Value

Organizations that align AI initiatives to core business goals are 2.5x more likely to achieve successful outcomes (McKinsey).

Why It Matters:

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Strengthen Data Integrity and Integration

Why It Matters:

Poor data quality is the leading technical cause of AI rollout failure: 57% of companies cite it as a major barrier to scaling AI. (PwC)

Design & Prioritize Pilots with Targeted Adoption Measures

Why It Matters:

While 80–85% of companies run AI pilots, only 20–25% successfully scale them into operational use. (Gartner)
 

Well-designed pilots boost enterprise adoption success rates by up to 67%. (BCG)

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Identify Enterprise AI Task Types

Why It Matters:

Up to 50% of current work activities can be automated with existing technologies, but failure to classify them correctly leads to wasted AI investment. (McKinsey Global Institute)

Establish Governance, Ethics, and Risk Frameworks

Why It Matters:

59% of organizations have faced regulatory, legal, or reputational risks due to insufficient AI governance. (Deloitte)

Competitive Analysis identifies and evaluates the business strategies of your competitors,

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