Capgemini Study: 70% of Companies Struggle to Scale AI
Capgemini's study, 'AI Transformation - From the Experimental Phase to Productive Scaling', highlights key challenges and trends in AI implementation. Realistic expectations and effective change management are vital for successful AI integration, with only 30% of companies successfully transferring AI prototypes into operational use.
Poor change management and inadequate data quality are the main obstacles to successful AI integration. Cross-departmental collaboration, clear responsibilities, and a defined business benefit are crucial for successful AI implementation.
Currently, 38% of companies are experimenting with AI agents, with 5% in the testing phase and 18% using them selectively. The banking sector has the least resistance, with 42% not using them but 37% having first pilot projects and 21% using them productively. The insurance industry is at the forefront, with 11% extensively using AI agents, but 73% not using them at all.
By 2028, agentic AI is expected to become more important, with 73% of decision-makers anticipating its increased significance. The maturity level of AI in a company influences its use in both non-critical and sensitive processes. Currently, 69% of companies use AI solutions for non-critical processes, and 27% use them for sensitive, personal processes.
To ensure successful AI integration, companies must address change management and data quality issues. As AI agents gain prominence, industries like banking and insurance should prepare for increased use. Decision-makers should anticipate the growing importance of agentic AI and consider its role in both non-critical and sensitive processes.
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