Research
Discover how organizations are thinking about AI adoption.
McKinsey argues that business value comes from coordinated output, not just individual worksteps.
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“Most organizations use AI to make individual workflow steps more efficient. A larger opportunity lies elsewhere: in the coordination that takes place between those steps.”
Cutting the ‘coordination tax’: How agentic AI can reshape workflows - McKinsey & Company ↗
Microsoft's Chief Strategy and Information Officer relates the importance of business outcomes and human judgment.
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“Start with the business outcome, not the technology.”
What we’ve learned from Microsoft’s own AI transformation - Kathleen Hogan, Microsoft EVP ↗
Deloitte applies longstanding organization design principles to developing a new operating model.
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“At a minimum, the agent should:
[1] operate within a single defined team … ,
[2] have a single human leader accountable …,
[3] support a defined set of outcomes….”
Why C-suite leaders need to rethink organization design for the agentic era - Deloitte ↗
MIT CISR proposes five effective management practices to drive AI business value.
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“Getting value from AI, and particularly from agents, requires redesigning workflows, roles, and handoffs between humans and AI.”
AI Value Creation: Five Provocative Proposition - MIT Center for Information System Research ↗
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