From Chatbots to autonomy: Deloitte charts the next phase of AI in enterprise

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According to AI News, enterprise leaders are now looking past generative AI tools like chatbots and summarizers, focusing instead on “autonomous intelligence” to drive real growth. According to Prakul Sharma, principal and AI & Insights Practice Leader at Deloitte Consulting LLP, autonomous intelligence represents the next stage in AI maturity: systems that can independently execute decisions within defined boundaries, rather than simply augmenting human judgment.

Sharma emphasizes that the economic value of these systems comes not from the AI alone, but from integrating it into revenue-critical workflows with strong governance, identity, and human-in-the-loop safeguards. For example, in enterprise procurement, an autonomous system could monitor supply chains and vendor pricing, approving purchase orders within pre-set financial limits while flagging exceptions for human review.

Deloitte advises companies to start with a decision audit, mapping key workflows where bottlenecks stem from slow or inconsistent decision-making. This helps identify where autonomy can generate measurable impact and reveals gaps in data and governance that might derail pilots.

The technical challenge often lies not in AI models themselves - which have become increasingly capable - but in connecting them to legacy data systems. Autonomous agents require decision-grade data with real-time accuracy, traceable provenance, and proper access controls, unlike the reporting-grade data designed for human analysts. Scaling these systems also demands careful planning of compute costs and safeguards against errors or “hallucinations.”

Sharma notes that many pilot projects fail to scale due to what Deloitte calls “production gaps” and “governance debt.” A small-scale experiment can succeed with curated data and champion teams, but enterprise-wide deployment requires secure identity integration, continuous model evaluation, change management, and compliance-ready governance. Treating pilots as fully production-ready platforms from the outset is critical for successful scaling.

Deloitte’s insights highlight that the shift to autonomous intelligence is less about AI capabilities and more about building robust, reusable platforms that connect seamlessly to enterprise data, identity, and operational processes.