# AI Agent Human Review Queue Staffing Calculator

> Source: https://netray.co/tools/ai-agent-human-review-queue-staffing-calculator
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

Estimate how many reviewers an approval-gated ERP AI agent needs, and what the labor saving really is once review and rework are counted.

## Category

ai-automation

## Audience

- CIO
- IT manager
- ERP administrator

## Tool

**Kind:** calculator

**Currency:** $

**Inputs:**

#### Tasks handled per month

**Key:** monthly_tasks

**Type:** number

**Default:** 20000

**Min:** 0

**Step:** 500

**Unit:** tasks

**Help:** Total items the agent processes: PO acknowledgements, invoice codings, ticket triage and similar.

#### Auto-approved share

**Key:** auto_rate

**Type:** slider

**Default:** 70

**Min:** 0

**Max:** 100

**Step:** 5

**Unit:** %

**Help:** Share of tasks above your confidence threshold that go through without a human.

#### Review time per flagged task

**Key:** review_min

**Type:** number

**Default:** 4

**Min:** 0

**Step:** 0.5

**Unit:** min

**Help:** Time to read the agent's proposal, check the evidence and approve.

#### Reviewed tasks needing rework

**Key:** reject_rate

**Type:** number

**Default:** 10

**Min:** 0

**Max:** 100

**Step:** 1

**Unit:** %

**Help:** Share of reviewed tasks where the reviewer corrects or redoes the work.

#### Rework time per corrected task

**Key:** rework_min

**Type:** number

**Default:** 12

**Min:** 0

**Step:** 1

**Unit:** min

#### Fully manual time per task

**Key:** manual_min

**Type:** number

**Default:** 9

**Min:** 0

**Step:** 0.5

**Unit:** min

**Help:** What the task costs today with no agent.

#### Loaded labor cost

**Key:** rate

**Type:** number

**Default:** 45

**Min:** 0

**Step:** 1

**Unit:** $/hour

#### Agent run cost per task

**Key:** run_cost

**Type:** number

**Default:** 0.06

**Min:** 0

**Step:** 0.01

**Unit:** $/task

**Help:** Tokens, GPU share or API fees per task.

#### Productive hours per reviewer per month

**Key:** fte_hours

**Type:** number

**Default:** 120

**Min:** 1

**Step:** 5

**Unit:** hours

**Outputs:**

#### Tasks sent to human review

**Key:** reviewed

**Expr:** monthly_tasks * (1 - auto_rate / 100)

**Format:** integer

#### Review hours per month

**Key:** review_hours

**Expr:** reviewed * review_min / 60

**Format:** number

#### Rework hours per month

**Key:** rework_hours

**Expr:** reviewed * reject_rate / 100 * rework_min / 60

**Format:** number

#### Reviewers needed (FTE)

**Key:** review_fte

**Expr:** (review_hours + rework_hours) / fte_hours

**Format:** decimal

**Primary:** true

**Description:** Total human hours divided by productive hours per reviewer.

#### Monthly cost with agent

**Key:** agent_cost

**Expr:** (review_hours + rework_hours) * rate + monthly_tasks * run_cost

**Format:** currency

#### Monthly cost fully manual

**Key:** manual_cost

**Expr:** monthly_tasks * manual_min / 60 * rate

**Format:** currency

#### Net monthly saving

**Key:** net_saving

**Expr:** manual_cost - agent_cost

**Format:** currency

**Primary:** true

**Description:** Negative means the review burden outweighs the automation.

**Chart:**

#### Reviewer FTE needed vs auto-approved share

**Type:** line

**X:** auto_rate

**From:** 0

**To:** 100

**Steps:** 20

**Series:**

- review_fte

**Disclaimer:** Planning estimate. It assumes review time is flat per task; real review time drops with good evidence display and rises for hard cases.

## Content

**Intro:** An approval-gated ERP agent only saves money if the human review queue behind it is smaller than the manual work it replaces. This calculator turns your auto-approve rate, review minutes and rework rate into reviewer headcount and net monthly saving.

**Sections:**

#### How to use it

**Body:** Enter monthly task volume and the share your confidence threshold lets through untouched. The remaining tasks land in a queue; each costs review time, and a fraction costs extra rework time. Compare the resulting labor plus run cost against the fully manual baseline. Then drag the auto-approved share down to see what happens if you tighten the threshold for a risky workflow such as vendor bank detail changes or price updates.

#### The formula

**Body:** Reviewed tasks = volume x (1 - auto share). Human hours = reviewed x review minutes / 60 + reviewed x rework rate x rework minutes / 60. Reviewer FTE = human hours / productive hours per reviewer. Net saving = manual cost - (human hours x rate + volume x run cost). Note the model charges review time on flagged tasks only. If your policy samples auto-approved tasks for audit, add that sample as a separate line.

**Bullets:**

- Auto-approved share is a policy choice, not a model property.
- Tightening the threshold raises accuracy but moves work into the queue.
- Rework is usually the hidden cost.

#### Reading the result and common mistakes

**Body:** If net saving is small or negative at your planned auto-approve share, the workflow is a poor automation candidate or the evidence shown to reviewers is too thin. A common mistake is using the model's average accuracy as the auto-approve rate: they are different numbers. Another is ignoring queue peaks at month end, when review volume can triple. Size for the peak week, not the monthly average, and keep write-back actions behind approval until the measured error rate supports loosening.

**Cta:** Netray builds approval-gated agents on top of ERP data with the query and evidence shown to the reviewer. If you want the review queue modeled against your real volumes, we can walk through it.

**Faq:**

#### What auto-approve rate is realistic?

**Answer:** It depends entirely on the workflow and your risk tolerance. Low-risk read-only classification can run high, while anything that writes to the ERP or moves money usually stays mostly gated at first. Measure on a pilot sample before setting a number.

#### Should reviewed tasks include audit samples?

**Answer:** Yes, if you sample auto-approved items for quality control. Add the sample share to the flagged volume, or run the calculator twice with the audit share added to the reviewed percentage.

#### Why can net saving be negative?

**Answer:** When review plus rework time per task approaches the manual time, the agent adds cost without removing work. This usually means low confidence calibration or evidence that is hard for reviewers to verify.

#### Does this include the cost to build the agent?

**Answer:** No. It covers monthly operating cost only. Compare the net monthly saving against build and licence cost in a separate payback calculation.

## Search terms

ai agent human in the loop staffing, human review queue calculator, ai approval workflow capacity planning, auto approve rate ai agent, erp ai agent reviewers needed, human in the loop cost calculator, ai agent review workload

---
Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json