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Automated checks find known defects. Ford shows why companies still need the experience of people from operations

Ford uses more than 100,000 automated tests in parts of its quality control, yet it has also brought…

Employees work faster with AI, but the company may not earn more. The link between personal time savings and business results is missing

Higher individual productivity does not automatically mean higher company performance. Data cited by…

Manager assessment may change: knowing how to use AI will not be enough; what matters will be how leaders design work with it

Knowledge of AI tools is quickly becoming a basic expectation. For company leadership, however, it…

Bad data are not an IT department problem. The error often begins in the process that creates the information

Most leaders approached at an INSEAD forum refused to bet their own bonus on the completeness and…

Companies are finding that AI will not fix a bad process. Automation can simply accelerate a problem that already exists in the organization

When a company adds AI to an outdated process, it may not achieve a more modern operation. It may…

Employees do not want promises that AI will threaten no one. Leadership should say precisely what it knows and what it does not yet know

Uncertainty around AI cannot be removed by a presentation about productivity or a promise that every…

AI is accelerating work faster than companies are changing their organizations. The result can be more output but worse decision-making

A company can give employees access to ever more capable AI and still fail to achieve a…

A manager who lets AI write everyday communication can save time while weakening their own credibility

AI can quickly prepare an email, announcement or feedback. For a manager, however, communication is…

AI can already recommend firing an employee. But responsibility cannot be hidden behind an algorithm’s decision

An AI system can monitor attendance, allocate shifts or recommend personnel measures. Once its…

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