# AI Automation Agency Pricing Summary

Source page: https://aibiztest.com/en/posts/ai-automation-agency-pricing/
Site: https://aibiztest.com/
Language: en
Last reviewed: 2026-06-16

## Standard Answer

AI automation agency pricing should not be based on the tool alone. Quote discovery, workflow mapping, build time, platform usage, AI API cost, testing, documentation, revisions, and maintenance as separate lines. A cheap fixed-price build becomes risky when exceptions, credentials, logs, and support are not scoped.

## Pricing Lines

- Paid diagnostic: workflow map, data access list, risk notes, and rough estimate.
- MVP automation: one trigger, one data source, one output, and human review.
- Production workflow: logging, retries, permissions, documentation, and handoff.
- Monthly maintenance: bug fixes, small edits, monitoring, and usage review.
- AI add-on: extraction, classification, drafting, routing, review, and API cost.

## Minimum Test

1. Run a paid diagnostic or tightly limited discovery call.
2. Map the workflow before choosing n8n, Make, Zapier, or custom code.
3. Deliver one MVP workflow with human review.
4. Track delivery hours and client revisions.
5. Convert ongoing support into a maintenance line item or stop after handoff.

## Stop-Loss Signals

- The client wants a fixed price before the workflow is mapped.
- Sensitive data is involved but no one owns permissions or logs.
- Unlimited changes are expected inside the build fee.
- Platform or API usage is variable but no budget cap exists.

## Data Boundary

This summary is a pricing and scope checklist. It does not promise client results, agency revenue, rankings, traffic, or conversions. Current platform pricing and account ownership must be verified before quoting.