EBOOK

Customer AI: Should We Build or Buy?

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Overview

This ebook provides guidelines to help business leaders make the best decision between building or buying a customer AI solution, based on their goals, timeline, and project specifics. It also includes recent research on what sets apart successful enterprise AI projects.
 

Key Highlights in Decision Making

Top challenges for business leaders to consider:

1. Determine if the AI solution is central to your company’s core offerings and value proposition. If so, build it; if not, consider buying a solution.

2. Evaluate how the solution will give you a competitive advantage. If it’s core to your value proposition, build it; if it’s an industry-standard solution, buy it.

3. Assess your timeline for delivering financial impact. If you have patience for a learning curve, build; if you want near-term results, buy.

4. Consider the risk if the work is not completed or successful when needed. If it’s a critical “bet the company” investment, build; if failure is a significant risk, buy.

5. Determine if you have the right expertise and resources in-house. If you have a skilled team available, build; if not, buy.

 

Additional Resources

The ebook concludes by summarizing the key benefits of both building and buying approaches, and provides additional resources for leaders to stay informed on successful AI project delivery.

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Artificial intelligence (AI projects) have an alarming failure rate. A recent Deloitte investigation finds that only 18% – 36% of organizations achieve their expected benefits from AI and that 87% of AI projects never make it into production.
Robert Cooper

DeGroote School of Business, McMaster University

ABOUT THE CONTRIBUTORS

Richard Owen was a co-creator of NPS and currently CEO of OCX Cognition. Maurice FitzGerald is a former VP of Customer Experience for HP’s $4 billion software business and currently Editor in Chief of OCX Cognition.

Questions?
success@ocxcognition.com

 

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