AI Policy
Last updated: 11 September 2026
Why this page exists
I help businesses use AI, so I should be clear about how I use it myself and where I draw the line. If you’re going to trust me with the systems that support your customers and team, you should be able to understand what AI does, what remains human and how your information is handled. Clear information about this should be standard.
Where I use AI in my own work
- Drafting and thinking. I use AI tools to draft, research, structure and pressure-test my own writing and materials. Everything published under my name has been read, edited and approved by me.
- Research. For market and competitor work, checked against original sources rather than taken on trust.
- Building systems. The tools and automations set up for clients often use AI as a component — for drafting replies, sorting enquiries, answering routine questions.
Which tools I use
I ask clients to expect a straight answer about which tools their data touches, so here are mine.
- Claude (Anthropic) — drafting, research, analysis, and the reasoning behind the Business Leak Check
- ChatGPT (OpenAI) — occasional drafting and comparison
- Lovable — building this site and the tools on it
- Supabase — storing what the forms collect
- MailerLite and Resend — email
- Microsoft 365 — email and documents
- GoHighLevel is one possible platform for customer systems and automation. Tools are selected according to the business need, existing systems and agreed requirements. More complex technical implementation may involve specialist support, with responsibilities and access agreed before work begins.
Client work may use different tools where the job needs them. You’ll be told which before anything is built, and it goes in writing.
What always has a person in it
- Anything I send you, or publish, or put my name to.
- Every recommendation about your business. A diagnostic can narrow the question; it doesn’t make the decision, and neither does a model.
- Any judgement about whether something should be automated at all.
What I won’t do
I won’t put your customers’ personal information into a general-purpose AI tool without agreeing it with you first, in writing, and only where the tool’s terms allow it.
I won’t build a system that makes the final decision about a person—who receives a service, what they’re charged, whether they’re hired or how a complaint is handled. AI may help organise information or support the administrative work, but a named person with appropriate authority must consider the wider context and make the decision themselves.
I won’t build an AI that pretends to be human. Any chat or voice agent I set up says clearly that it’s automated, and can hand over to a real person when someone asks or when it’s out of its depth.
I won’t write fake reviews, testimonials, case studies or results, with AI or otherwise. If I quote a client, they said it and they’ve approved it.
I won’t automate something that’s working. Adding AI to a process that already runs reliably adds cost and fragility for no gain, and I’ll tell you when that’s the situation even though it means selling you less.
Your data in client systems
If a system set up for your business uses AI on its data, I’ll tell you before we start: which tool it uses, what data goes into it, where that data is held, whether it could be used to train the model, and how to turn it off. If I can’t answer those questions about a tool, I won’t use it on your business.
Ownership, access and exit arrangements are agreed before work begins. Wherever the platform permits it, systems are set up so that you retain appropriate ownership, administrative access and export options. Any platform limitations or dependencies are explained before you commit.
Keeping systems under review
AI tools and platforms change, and a system that worked as intended when it was built may need to be reviewed later.
A review is needed when a platform changes materially, the business begins using the system for a different purpose, new information is introduced or someone reports an unexpected result. Systems involving AI should have a documented way to pause them while a problem is investigated.
Where I continue to support a system, the review and support arrangements are agreed in writing. Where the business manages it independently, the handover explains what should be checked, when to review it and who is responsible.
When AI shouldn’t be used at all
Some things shouldn’t be automated regardless of what’s technically possible — moments where someone needs a person, decisions with real consequences for someone’s wellbeing, and anything where being handled by a machine would itself be the problem. Working out where that line sits in your business is part of the job, not an afterthought.
Before this, I worked in HR and then in private practice as a therapist. Confidentiality, consent and knowing when something needs a person aren’t new questions to me — they were the job.
Questions
claire@builtforher.ai — ask me anything about this, including about a specific tool you’re considering.
