McKinsey says top AI enterprises are 3× likelier to redesign workflows around agents
brucemacv · x · 2026-07-26
McKinsey says top enterprise AI performers are nearly 3× more likely than others to deliberately redesign workflows so AI is embedded in how work gets done.
The post lays out a practical playbook:
- Start from the desired outcome, not the current process.
- Make workflows machine-readable with clear inputs/outputs, structured data, explicit decision logic, and exception paths.
- Define human and agent roles upfront: agents handle volume, coordination, routine decisions, and multi-step execution; humans keep judgment, exception handling, relationship work, and accountability.
- Redesign end-to-end so upstream and downstream steps also change.
- Build governance in from day one, including oversight, audit trails, escalation paths, and autonomy limits.
The quote frames this as the difference between getting stuck in pilots and scaling AI across the enterprise.
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