Enterprises must shift from AI-assisted to AI-native operating models
By Adi Kuruganti, Chief AI and Development Officer, Automation Anywhere
Over the past couple of years, enterprise AI has become a part of everyday business conversations. Organisations have experimented with copilots, automated repetitive work and helped employees complete tasks faster. These early wins have demonstrated AI’s potential, but they have also exposed a limitation. Improving individual productivity doesn’t automatically change how work moves through an organisation.
The next phase of enterprise AI is unfolding at a different level. Instead of focusing on isolated tasks, organisations are beginning to rethink the workflows, decisions and governance that sit behind them. AI is now moving beyond assisting employees to participating in how work gets executed across the enterprise. This shift is what defines an AI-native operating model.
The execution gap
Recent McKinsey research illustrates why this matters. Organisations generating the greatest value from AI are nearly three times more likely than their peers...
Copyright of this story solely belongs to expresscomputer.in. To see the full text click HERE
