From 10 People to 100-Person Firepower

Do not use AI to shrink headcount. Use it to turn your current team into an execution army with faster throughput, better judgment leverage, and nonstop operational momentum.

10-to-100 Strike-Team Estimator

Model raised output using three levers: automation depth, verification quality, and coordination drag.

How To Use This Tool

Use your current team and workflow reality, not ideal-state assumptions.

  • Team Size: Number of people actively executing this workflow.
  • Base Output: Typical completed units per person per quarter before AI changes.
  • Automation Depth: Percent of repetitive work AI/workflows can handle.
  • Verification Quality: Percent of outputs that are decision-ready after QA.
  • Coordination Drag: Percent of effort lost to handoffs, rework, and approval lag.

Interpretation: 1x-2x baseline, 2x-3x developing, 3x-5x advanced, 5x-10x strike-team performance.

100
Effective Team Equivalent
300
Verified Output Units / Qtr
10.0x
Firepower Multiplier

Benchmark: Advanced operator band (3x-5x)

At this operating model, your 10-person team is tracking near 100-person firepower.

We tailor recommendations to your exact firepower model inputs.
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Build 100-Person Firepower from Your Current Team

Book a working session and we will map your AI operating model into a 90-day execution sprint.

Secure a Strategic Debrief

Firepower FAQs

How should I use these estimates?

Start with current-state values, run one scenario at a time, and use the benchmark band to prioritize which lever to improve first: automation depth, verification quality, or coordination drag.

How does this model calculate firepower?

In this model, leverage comes from automation depth and verification quality, net of coordination drag. That reflects raised output with reliability, not just activity volume.

Can I use this in board and IC discussions?

Yes. This estimator gives leaders a simple way to frame capacity expansion goals and align AI investments around execution impact, not layoffs.