Are You Ready?
Understanding What Makes AI Projects Succeed or Fail
Two mid-sized manufacturing companies, both with around 150 employees, decided to embrace AI at roughly the same time. Both invested similar amounts. Both hired consultants. Both had ambitious plans.
Twelve months later, Company A had reduced operational costs by 18%, improved quality control, and freed up its management team to focus on growth. Company B had spent £50,000, created internal conflict, and quietly shelved their AI initiative, hoping no one would ask about it at the next board meeting.
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