Industry: Engineering & project-based manufacturing
Function focus: Operations, planning, management

Context

An engineering organization embedded AI into existing team structures to support planning and prioritization.
Over time, leaders realized that the way responsibilities were divided across teams limited the value of AI insights.

The organization structure had been designed around what individual managers could handle — not around how decisions could best be optimized with AI support.

Challenge

• AI constrained by inherited organizational silos
• Teams optimized locally instead of system-wide
• Org charts designed around human limits
• Governance focused on workflows, not decision architecture
• Leadership unaware that structure limits AI potential

Approach

• Rethink where decisions should be aggregated with AI support
• Separate people structure from algorithmic decision space
• Redesign decision responsibilities across teams
• Align org design with how AI actually creates value
• Adapt leadership coordination and escalation paths

Outcome

• Better coordination across teams
• Fewer local optimizations, more system-level performance
• Clearer interfaces between human judgment and AI recommendations
• Organizational structure began to evolve with AI capabilities

Leadership Insight

AI doesn’t just change workflows.
It changes which organizational structures still make sense.