Democratising AI in business without risking security

Expanding AI use across business units accelerates growth, but success depends on combining governance, culture, and workforce empowerment.
Unlocking AI in the workplace can boost efficiency and innovation, but organisations must balance access with governance, security, and employee training.

Across organisations, AI tools are moving beyond IT teams and into everyday business functions. CIOs now face the challenge of widening access while protecting data, security and trust.

Earlier waves of low-code platforms and citizen data science showed that empowerment can boost innovation but also create shadow IT and technical debt. AI agents and generative systems raise the stakes, with risks ranging from data leaks to flawed automated decisions.

Pressure from boards and business leaders means AI cannot be restricted to a small pilot group. Transparent governance, approved toolkits, and updated data policies are essential to prevent misuse while still enabling experimentation.

Long-term success depends on culture as much as technology. Leaders must define a focused AI vision, invest in literacy and adapt change management so employees use AI to improve decisions rather than accelerate flawed processes.

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