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AI Agents at your service

AI agents are moving from pilots to core enterprise infrastructure, enabling scalable, revenue-producing AI workflows.
Executives increasingly view AI agents as a growth engine, not just a productivity tool.
Model-as-a-service and serverless options are democratizing access to advanced AI for smaller teams.
Governance and guardrails are highlighted as essential for safe autonomy in enterprise AI.
The article argues that the competitive edge will come from data, workflows, and domain-specific agents.
Enterprise AI adoption is shifting focus from model selection to how systems are integrated into business processes.
AI agents are seen as a new distribution channel capable of serving millions of micro-segments.
Boards are urged to redesign processes, incentives, and risk controls around AI-native workflows.
The piece notes AI has shifted from a CTO project to a CEO-level agenda item.
Foundational models fade into architecture as enterprise AI becomes infrastructural.

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