The solution worked because it matched the scope of each automated component to a defined responsibility and reserved consequential choices for human review. ¹

WorkedDid not

Ownership

Defined specialist roles ¹

Unbounded responsibility ¹

Coordination

Routing agent orchestration ¹

Manual cross-department coordination ¹

Decision rights

Human approval for consequence ¹

Machine-only approval ¹

Cadence

Weekly forecasting ¹

Monthly forecasting ¹

The architecture separated task execution from decision authority. Specialist agents handled defined sub-domains, and the routing agent directed work between them. ¹ That allowed the assembly process to be machine-driven without making the final judgment machine-driven. ¹

Human approval was required for consequential decisions, enforcing a visible decision boundary. ¹ At the same time, the forecasting cadence improved from monthly to weekly, giving the organisation a more current basis for decisions. ¹ The design principle is straightforward: automate repeatable coordination, then keep an accountable review point where consequences matter.

Mayo Clinic deployed multi-agent autonomous forecasting with human-approval boundaries