What is an AI Value Creation Framework?

Clearly defining how AI will impact or transform your business, solving real business challenges with measurable outcomes with ROI and building a complete AI ready organization, starts with pilot projects and then implementing scalable AI solutions across the organization.

The above might seem complex and with 75% of projects failing, AI value creation needs a solid process. So how do you plan a successful execution of an AI use case?


0. To select the use case among various options use Business Impact & Feasibility as main criteria. See attached picture with examples of use cases.

1. Define the Scope ​

-What problem are you solving?​
-Who is impacted by this problem?​
-What is the cost of not solving it ?​


2. Identify the Right Metrics ​

-Align with existing business KPIs (Operational, Business, Strategic)​
-Easy to measure​
-Linked to value creation ​


3. Execute a risk assessment with mitigation plans ​

-Technical risks​
-Resource constraints​
-Data readiness​
-Cultural considerations Resources ​
-Team composition and skills ​
-Technology infrastructure ​
-Budget requirements ​
-Outsourcing and partnerships ​

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4. ROI calculation ​

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5. Implementation roadmap ​

- Pilot phase ​
- Rollout and learning ​
- Full implementation ​
- Evaluate and improve

With 75% of AI projects failing to reach scaling the process is necessary to achieve results.

If you want to find out more please write to

Info@TenX2.com

www.TenX2.com

Any comments or questions welcome