Why 80% of AI Projects Fail

Episode 3: Why Do Most AI Projects Fail?

Industry research suggests that a large proportion of AI pilots fail to reach production. Common reasons include unclear objectives, poor governance, lack of stakeholder buy-in, and focusing on technology rather than business outcomes.

Chris shares lessons from the financial services sector and highlights practical AI use cases that are delivering measurable value today, including reconciliation exception analysis, risk and control monitoring, compliance assurance, evidence gathering, and operational efficiency improvements.