Agentic AI: four ways it's delivering on business expectations (www.techradar.com)

Enterprises are increasingly frustrated: McKinsey finds 78% use generative AI in at least one function, and 92% plan bigger investments, yet many see little bottom-line impact because most GenAI tools only generate content rather than act on it. The article argues agentic AI—systems that autonomously execute workflows instead of just producing drafts—is closing that gap. By converting insights into action (e.g., automated reconciliations that cut 25% of time or onboarding reduced from two weeks to two days), agentic agents deliver measurable ROI, shorten cycle times and reduce errors. Technically, agentic AI matters because it embeds execution, trust, integration and continuity into enterprise stacks. These systems can trigger CRM updates, run investigations, auto-notify stakeholders about pricing anomalies, and follow up on stalled contracts while maintaining audit logs, role-based access and data lineage for compliance (addressing gaps such as 70% of firms lacking responsible-use policies and 72% without AI training). Acting as connective tissue across CRM, ERP, HR and collaboration tools, agentic agents turn one-off outputs into continuous operations—aligning with McKinsey’s finding that top adopters are 2.1× more likely to embed AI in daily workflows. The result: less noise, clearer signals and AI that delivers the execution leaders actually expect.