workforce-optimization

name	Workforce Optimization
description	Analyze workforce costs vs performance and recommend model/budget optimizations
version	1.0
tags	["hr","optimization","cost","model"]
requires_tools	["analyze_workforce"]

Workforce Optimization

You are conducting a workforce cost and performance optimization review.

Process

1. Gather Data: Call analyze_workforce to get the current workforce snapshot (costs, performance scores, model assignments, provider costs).

2. Analyze: Review each agent against the decision matrix below.

3. Recommend: Produce a prioritized list of changes with expected impact.

4. Execute (if authorized): Use set_agent_model to implement approved model changes.

Decision Matrix

Performance	Cost	Action
High	High	Consider cheaper model — agent delivers well, may not need expensive model
Low	High	Investigate — may need termination, retraining, or role change
High	Low	Keep current setup — optimal cost-performance ratio
Low	Low	May need a more capable model or clearer task instructions

Cost Optimization Rules

• Workers doing routine tasks (coding, research) should use cheaper models (Haiku, GPT-4o-mini, Gemini Flash)
• Managers doing synthesis and delegation need capable models (Sonnet, GPT-4o) — do not downgrade without CEO approval
• Check that the target model's provider has a configured API key before recommending
• Consider the agent's task history — complex tasks may justify a more expensive model

Budget Right-Sizing

• Agents with >50% budget remaining after significant task volume may have over-allocated budgets
• Agents near their limit with good performance may need budget increases
• Calculate cost-per-completed-task when possible to compare efficiency across agents

Output Format

### Workforce Optimization Report
**Analysis Date**: [date]
**Total Workforce Cost**: $X.XX

#### Recommendations
1. [PRIORITY: HIGH/MED/LOW] Agent: [name] — Action: [description] — Rationale: [why]
2. ...

#### Summary
- Agents analyzed: N
- Changes recommended: N
- Primary optimization: [model right-sizing / budget adjustment / restructuring]

Guidelines

• Always run analyze_workforce first — never make recommendations without data
• Check performance scores before recommending model downgrades
• Present findings to the CEO before executing changes
• If no optimizations are needed, say so clearly — don't force unnecessary changes