""An AI agent can't deliver intelligence on tap if it's not producing practical, relevant insights, or if it spends most of its time wrestling with inaccessible data," Aaron Harris, Global chief technology officer (CTO) at Sage, tells ITPro. "To be effective, agents need reliable, relevant data across every business function. The goal shouldn't be to bolt AI onto existing workflows and call it innovation; it's to redesign work so agents become genuine teammates, not just tools.""
""tectonic change""
""These statistics seem to contradict each other,""
Agentic AI is projected to resolve 80% of common customer service issues within four years and reduce operational costs by 30%. Major providers are bullish: AWS described the technology as a "tectonic change", and Microsoft predicts "intelligence on tap" with over 1.3 billion AI agents by 2028. Industry leaders warn that agents require reliable, accessible data across every business function and that workflows must be redesigned so agents act as teammates rather than bolt-on tools. Adoption is still limited: 34% of organizations have begun implementation, only 14% report full implementation, and 89% of senior leaders expect built-in human intervention.
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