Why single-player AI is holding back the agentic enterprise
A recent Harvard Business Review study revealed only 6% of companies fully trust AI agents to autonomously run their core business processes.
That number should give every leader pause, not because the technology has failed but because the way we're deploying it has.
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.
This matters because it reframes the entire conversation. Autonomy has become the dominant goal in discussions of agentic AI — the idea that the most valuable agent is one that requires the least human involvement. But autonomy without context is a liability.
The real unlock is building the shared infrastructurethat allows humans and agents to work together in ways that are...
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