For CFOs of SMEs: AI Agent Audit — Limits, Registry, and Control

An AI agent works like an employee on autopilot. It's convenient, but without control, it can lead to costs and data chaos. Here’s a simple financial framework: limits like a credit card, a registry like a bank statement, dual approval, and quick agreements with CRM/ERP. You can implement this without coding in n8n/Make/Zapier and a spreadsheet.

AI Agent in Business: A Simple Overview

An AI agent is a program that automatically takes steps to achieve a goal. For example, it collects data from emails, creates tasks in a CRM (Customer Relationship Management system), and prepares offers. It operates based on a command called a prompt (a short text description of the task). In practice, think of it as an 'intern on autopilot.'.

Regulators are closely monitoring such solutions; the Bank of England has announced a review of rules for AI agents in finance. The use of tools like ChatGPT (an OpenAI service for chatting with AI) is also increasing in businesses. The takeaway: treat the agent like a company credit card — with limits and a statement.

Limits Like a Credit Card: Monetary and Thematic

Monetary limits are thresholds for money or volume. They work like in a bank: if the amount exceeds a certain limit, the agent stops and asks for approval. Thematic limits define what is allowed and what is not (e.g., allowed to tag in CRM, not allowed to change prices in ERP).

How to set this up without coding? In n8n/Make/Zapier (tools for connecting applications with clicks, no programming needed), you add a conditional step. When the threshold is exceeded, the scenario halts the action and sends a request for approval via email or Slack. The conclusion: limits mitigate risks before they become costly.

• Example monetary thresholds: up to $500 — automatically; $500–$2,000 — leader approval; above $2,000 — CFO approval.
• Email sends: up to 50 recipients daily — automatically; 51–200 — leader approval; >200 — CFO approval.
• Bulk changes in CRM: up to 30 records at a time — automatically; 31–200 — leader approval; >200 — CFO approval.
• Thematic limits (whitelists/blacklists): allowed — organizing fields in CRM, creating draft emails, invoice projects; require approval — price changes in ERP, sending invoices, deleting records.
• Ready message for the team: 'The agent will do X up to limit Y. Above Y, it halts the action and requests approval in the #approvals thread. No approval in 2 hours = rejection.'

Decision Registry Like a Bank Statement

The registry is the 'statement' of the agent's actions. It shows what the agent did, when, and why. A simple spreadsheet like Google Sheets or Excel Online is enough. Each step automatically logs there with the date and the person who approved or rejected it.

What to record at a minimum? The list below is sufficient for auditing and discussions with clients or auditors. The conclusion: without a registry, there is no control.

• Date and time.
• Agent name and the AI 'engine' used (e.g., ChatGPT).
• Application/area (CRM/ERP/email).
• Description of the action and amount or volume.
• Prompt (command) and a brief summary of the AI's response.
• Link/ID of the record in the source and target systems (if available). Status: completed / halted / rejected, plus reason and comment from the approver. Who approved and when. Optionally, the cost of using AI (if you are

The Principle of Dual Approval and Quick Agreements with CRM/ERP

The principle of dual approval means that for sensitive actions, two people make the decision. In no-code tools, the agent sends a request for approval, and the leader or CFO clicks YES/NO in an email or Slack. Without this approval, nothing gets executed. The conclusion: sensitive steps always have a second pair of eyes.

An agreement is a comparison of data from two sources to confirm consistency. For example, every 2 hours, the automation compares changes in the CRM with the agent's registry. If it finds discrepancies, it creates a task to 'clarify' and blocks similar changes. The conclusion: quick agreements catch errors before they reach the client or accounting.

• Establish when dual approval is needed: price change in ERP >1%, discount >5%, sending to >50 recipients, deleting records, publishing data to clients.
• Agreements: tolerance of 1–2% in volume; 0 tolerance for financial data (amounts must match 1:1).
• Schedule: comparison every 120 minutes + daily review at 5 PM (email summary).
• Message to the team: 'If the agent requests approval — we respond within 1 hour. No response = rejection. Data discrepancy = pause and task 'clarify' assigned to the process owner.'

These four elements — limits, registry, dual approval, and agreements — give CFOs real control over the AI agent without slowing down work. If you’d like, I can help set up thresholds, reports, and messages in n8n/Make/Zapier and a spreadsheet. Reach out, and together we’ll launch a 'controlled agent' in your company.