The People Stack › Tools › Workforce Design Calculator
Free Workforce Design Tool

Design Your Workforce Stack

Model your optimal human, AI, and hybrid configuration for every role. Companies that design their workforce intentionally — stacking the right talent, AI, and hybrid models — see 3x output vs. equivalent all-human or all-AI setups (McKinsey 2025). Enter your company profile below to get a personalized stack design: recommended configurations by role, cost and performance data, AI autonomy levels, and a prioritized 3-phase action plan. All formulas shown. All data sources cited.

BLS wage data (2024)
Formulas transparent
No fabricated numbers
Sources cited

Your Company Profile

Fill in your team details to generate a personalized analysis

1 · Company
2 · Team
3 · Analysis
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Your Analysis Awaits

Fill in your company profile on the left to generate your personalized workforce optimization analysis.

Calculating your workforce model…

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Stack Design by Role Human · AI · Hybrid Configurations

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AI Autonomy Spectrum by Role Recommended automation levels

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Action Plan What to automate, augment, and keep human

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AI Autonomy Spectrum by Role Recommended automation levels with rationale

How autonomy levels are determined: Each role is scored across five dimensions — task repetitiveness, data structure, regulatory exposure, empathy requirement, and decision complexity. Roles scoring ≥ 80 points are classified as Level 4 (Fully Autonomous). 60–79 = Level 3 (AI-First). 40–59 = Level 2 (AI-Augmented). Below 40 = Level 1 (AI-Assisted). Formulas and weights shown in downloadable report.
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Risk Assessment by Role Autonomy tolerance and implementation risk

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3-Phase Action Plan What to automate first, augment next, keep human

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Industry Benchmark Your industry's hybrid workforce model

Frequently Asked Questions

How does workforce optimization work?

Workforce optimization involves analyzing each role in your organization across three dimensions: cost (fully-loaded human vs. AI vs. hybrid), productivity (output per dollar), and risk (autonomy tolerance based on regulation, judgment requirements, and customer-facing sensitivity). Most roles exist on a spectrum — from fully human to fully autonomous AI — with hybrid configurations delivering the best unit economics for many functions.

What is the AI autonomy spectrum?

The AI autonomy spectrum describes how much of a role can be handled by AI vs. humans. Level 1 (AI-Assisted): human does the work with AI tools. Level 2 (AI-Augmented): AI handles 40–60% of tasks, humans focus on exceptions. Level 3 (AI-First): AI handles 70–85%, humans provide oversight. Level 4 (Fully Autonomous): AI handles 90%+ with humans reviewing outputs. Most roles fall between Level 2 and 3, making hybrid models the optimal economic choice.

What does designing a hybrid workforce stack actually deliver?

Hybrid stacks consistently outperform equivalent all-human or all-AI configurations. McKinsey 2025 data shows hybrid teams delivering 3x output vs. comparable all-human setups. PeopleStackHub.ai data shows companies that design their human/AI/hybrid mix intentionally reduce workforce operating costs by 28–48% for eligible roles — while growing faster. Customer support, data processing, content production, and administrative functions see the highest stack design gains.

Which roles should be automated first?

Prioritize automation for roles with high task repetitiveness, structured data inputs, and low regulatory exposure. Top candidates: data entry and processing, tier-1 customer support, appointment scheduling, report generation, and social media management. Avoid automating roles requiring nuanced human judgment, empathy in sensitive situations, or regulatory compliance sign-off without a hybrid safety net.

What data sources does this calculator use?

The calculator uses BLS Occupational Employment and Wage Statistics for median salary benchmarks by role and region. Benefits burden estimates (28–35% of base salary) are from BLS Employer Costs for Employee Compensation surveys. AI tooling costs are estimated from market pricing as of 2025–2026. All formulas are shown transparently in the output. Industry multipliers are derived from PeopleStackHub.ai proprietary analysis.