AILOS← All modelers

AI Leadership Operations / 01

Pro

Who should own this task — human, AI, or AI + review?

Three paths, one task. The math compares cost, error leakage, and throughput. The situation decides what's actually allowed.

About this tool

About this modeler

For any recurring task, the delegation question is rarely binary — it's human-only, AI-only, or AI-with-review. This modeler compares all three on cost, error leakage, and throughput, then shows the AI error rate at which the answer flips. Use it when you're deciding whether to route a workflow to AI, how much review to keep, or whether to invest in lowering the AI error rate at all.

When to use it

  • Deciding which tasks to delegate to AI in a team workflow
  • Setting a review policy for AI-generated output
  • Pressure-testing a vendor's accuracy claims

Related tools

Blast radius

Reversibility

Sensitivity

Novelty

Who owns it

Owner seniority

Your numbers

The task

How much of it, and how long it takes a person today.

With AI

What AI does, and how often a human needs to check it.

Money

What a mistake costs, and what an hour of the team costs.

Pro modeler

Read the framing free. Run the numbers on Pro.

Inputs are locked on the Free plan. Upgrade to run every modeler with your own numbers.

Upgrade to Pro →

Sample numbers shown. Upgrade to Pro to edit and save your own.

Annual savings vs. human-only

$278,200

Let AI draft it, a human ships it. That combo saves about $278.2K a year vs human-only.

AI + review · $278.2K/yr saved with the safety rail

Annual savings: AI-only / recommended path / best case

Pessimistic
$57,200
Realistic
$278,200
Optimistic
$278,200

Key numbers

Human-only · weekly cost$7,100
AI-only · weekly cost$6,000
AI + review · weekly cost$1,750
Breakeven AI error rate14.2%
Recommended pathAI + human review

What to do next

  1. 01

    Write one prompt template for the task and put it where the team will actually find it.

    Owner · the task owner
  2. 02

    Set the review step at ~3 minutes per output and name the reviewer.

    Owner · a senior reviewer
  3. 03

    Start a simple log of overrides + reasons; review it next month.

    Owner · the task owner

Save this scenario

Create a free account to name, save, and revisit this run from your dashboard.

Save it →

Plain-English read

Baseline read

200 tasks/week. Human-only costs $7,100/wk all-in (60 hrs of labor + $2,000 of mistakes).

AI-only at 12% error costs $6,000/wk in errors. AI + review pulls leakage to 1.8% for 10 hrs/wk of human time.

Breakeven AI error rate vs human: 14.2%. You're at 12%.

Recommendation: route through AI, gate at the human. The review step is the leverage point.

Recommended process

  1. 01

    AI drafts the output from a structured prompt template

    Owner AI

    2-min generation replaces 18 min of human draft time.

  2. 02

    a senior reviewer reviews and edits before send

    Owner the task owner

    Review (~3 min) catches ~85% of AI errors.

  3. 03

    Log every override + reason in a shared doc

    Owner the task owner

    Override reasons become next month's prompt-library updates.

  4. 04

    Re-rate AI error rate every 4 weeks

    Owner the task owner

    If error rate drops below breakeven, sample-rate can come down.

Share this decision

  • 200 tasks/wk · human 18min @ 4% vs AI 2min @ 12%.
  • Bad-output cost $250; review 3min catches ~85%.
  • Weekly all-in: human $7,100 · AI $6,000 · AI+review $1,750.
  • Recommendation: AI + human review. Annual savings vs human: $278.2K.
  • Situation: blast: med · rev: costly · sens: routine · nov: trodden · owner: mid · reviewers: 1.