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Building Trusted Human-Agent Collaboration: A Practical Framework

Nobody is talking about trust frameworks. Everyone is racing to deploy agents.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As agentic AI moves from pilot to production, enterprise leaders need governance models that balance autonomy with oversight. This Salesforce framework addresses the operational and ethical questions CTOs will face in 2026.

The key facts

9 to know
  1. Focus on human-agent collaboration design patterns

  2. Emphasis on trust and responsibility in agentic systems

  3. Enterprise workflow integration context

  4. Practical governance framework for agent deployment

  5. Focus: human-agent collaboration trust design

  6. Context: agentic AI embedded in enterprise workflows

  7. Source: Salesforce (vendor perspective)

  8. Framework-based approach to responsible AI deployment

  9. Addresses governance/trust barriers to agent adoption

Go to the source

Salesforce Blogsalesforce.com

Publisher excerpt: As agentic AI becomes embedded in enterprise workflows, the question is no longer what agents can do — it's how we design systems people can trust. A practical framework for building responsible human-agent collaboration, from the ground up.
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