Enterprise leaders must progress past generative applications and scale “autonomous intelligence” to capture real growth.
Generating text or summarising internal communications offers localised productivity improvements, yet these abilities rarely alter the core cost or revenue structure of a large organisation. Enterprises are now focused on deploying systems capable of independent execution. Leaders are demanding applications that can traverse internal networks, execute multi-step logic, and finalise transactions without constant human prompting.
Prakul Sharma, principal and AI & Insights Practice Leader at Deloitte Consulting LLP, said: “At Deloitte, we view this as the third stage on an intelligence maturity curve, from ‘assisted intelligence,’ in which AI and analytics help people interpret information, through ‘artificial intelligence,’ with machine learning augmenting human decisions, to ‘autonomous intelligence,’ where AI decides and executes in defined boundaries.

3 days ago
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