Key takeaways
- AI can be wrong, so we add checks, limits and approvals.
- Every action is recorded so it can be reviewed and undone.
- Start with a person approving everything, then relax as trust grows.
AI is useful, but it can be wrong. It can misread an invoice, make up a detail, or do something you didn't intend. A good automation expects this and is built to catch it.
Why it matters
Imagine an AI that reads supplier invoices and pays them. If it misreads one amount, you pay the wrong sum. The risk isn't that AI is bad. It's that nobody is watching.
What we put in place
Checks. Before anything is saved or sent, the result is checked against rules. Does the amount match the order? Is the date possible? Is a required field missing? If not, it stops.
Limits. Every automation gets a short list of what it's allowed to do. An assistant that reads invoices can't delete records or change bank details.
Approvals. Anything important goes to a person first. You choose what counts: for example, payments over a certain amount, or messages to new customers.
A record. Everything the automation does is written down: what it saw, what it decided, what it did. If something looks wrong, you can trace it and undo it.
Safe stopping. If something unexpected happens, the automation pauses and tells someone. It doesn't guess.
What we can't promise
No system is perfect, and we won't tell you AI never makes mistakes. What we do is make mistakes rare, visible and fixable.
Starting safely
We usually start with a person approving everything. As the automation proves itself, you decide what it can do alone.
Want to see how this would work for your process? Book a 30-minute call.
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