People and delivery
Whether someone owns the work and your team can run and adopt it.
Who owns AI in your business?
Why it matters: Projects without an owner tend to stall after the pilot.
A first step: Give one senior person ownership of AI outcomes, even if it's only part of their role.
Could your team build or operate an AI system?
Why it matters: AI systems need monitoring and upkeep after launch.
A first step: Decide what you'll build, buy or partner on, and who will maintain each system after launch.
How does your team feel about AI changing its work?
Why it matters: Tools that staff avoid don't deliver value.
A first step: Involve the people who do the work in choosing the first use case, and train them on it.