Why enterprise AI agent adoption is stalled by poor implementation, not capability limits
By
Arnab Bose
Sesame, salt, and substance. A flagship bake.
Summary
A Harvard Business Review study found only 6% of companies fully trust AI agents to autonomously run core business processes. The article argues this trust deficit isn't due to AI capability limitations but rather poor implementation — specifically the lack of guardrails, shared structures, and organizational context needed for reliable collaboration. The author contends that companies are deploying AI agents as isolated "single-player" tools rather than integrating them into shared enterprise infrastructure, which is holding back the potential of agentic enterprises.
Key quotes
· 3 pulledA recent Harvard Business Review study revealed only 6% of companies fully trust AI agents to autonomously run their core business processes.
The deficit in trust isn't a capability problem. Today's AI agents can handle complex tasks and synthesise information at speed.
The problem is implementation: the absence of the guardrails, shared structures, and organisational context that make any collaborator — human or artificial — reliably effective.
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