Secure AI Implementation

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Secure by default

• Least privilege. Each automation gets only the accounts, folders and permissions its job needs, with separate service accounts rather than someone's personal login.
• Personal data masked. Names, account numbers and other identifiers are removed or masked before text reaches an AI model, wherever the task allows.
• Business-grade AI providers. Models accessed through business APIs whose terms do not use your data for training by default.
• Verified inputs. Web forms and webhooks check that requests are genuine before anything runs, and treat AI output as untrusted until it is checked.
• A person in the loop. Anything that goes to a customer, moves money or changes records waits for human approval unless you decide otherwise.
• Logging and retention. A record of what each automation did, and automatic deletion of data it no longer needs.
• Secrets kept secret. API keys and passwords stored in a secrets manager or environment settings, never in the workflow itself.

What you get

• The working automation, documented: what it does, what it can access, and how to switch it off.
• A data-flow diagram showing where customer information goes.
• Tests showing it refuses the obvious attacks, including prompt injection through the content it reads.
• A handover session for whoever will look after it.

Already running AI automations?

We can review existing workflows, including ones built on n8n, Zapier or Make, against the same standard and give you a prioritized list of fixes.