Illustrative example. This is not a real business. It shows how a business like this could use AI, so you can picture it for your own.
How a picture framer turns counter conversations into clearer follow-ups
An illustrative example of a picture framer using a business briefing and consultation notes to draft clearer follow-up emails, while keeping prices, recommendations and the final send in her own hands.
- Area
- Sell Better · Offers, funnels and sales
- Industry
- Picture framing
- Size
- small team
- Tools
- ChatGPT
This illustrative example follows Maya, a fictional picture framer running a small high street workshop with an assistant. Customers bring in wedding photographs, prints and football shirts. Her job is to help them choose a frame that protects the piece and suits the room, not simply to sell the nearest option.
Picture the moment after a counter conversation. The customer says they will think about it, and Maya means to send a clear quote with the options they discussed. By the end of a busy day, her notes are scribbled on order pads and the follow-up feels awkward to write. When it does get written, it has to explain the choices without inventing a price, pushing a decision or promising a collection date she has not checked.
What they did
- She wrote a one-page briefing about the shop: who usually comes in, the framing choices she offers, how she explains conservation glass, and the friendly but straightforward tone she wants.
- She listed the details she needed from each enquiry, such as the item, rough size, frame styles shown, glazing preference and any deadline.
- She pasted her consultation notes, with names, contact details and identifying details removed, into ChatGPT with the briefing and asked for a short follow-up email with clear options and questions still to answer.
- She asked AI to flag missing details instead of guessing, especially prices, measurements and collection dates.
- Maya still checked every price against her own price list, chose the recommendation and sent the email herself.
What changed
What changes is the handover from conversation to draft. Instead of asking AI to work out what happened at the counter, Maya gives it the facts it is allowed to use. Missing information stays visible for her to resolve before anything reaches a customer.
The most important step is writing the business briefing before drafting the email. It gives AI the shop's context and boundaries. The framing recommendation remains Maya's judgement, and a plausible sentence is never a substitute for a checked price or measurement.
Try this first
- Write a short briefing covering your customers, options, tone and promises only you can authorise.
- Take a practice enquiry, remove names, contact details and identifying details, and list the choices discussed, confirmed details and unanswered questions.
- Ask for a follow-up draft, compare every detail with your notes, then edit it yourself.
Do not automate prices, framing recommendations, collection promises or the final send.
The playbook is included with Monthly and Annual membership
Step by step how to do this yourself, with the prompts, working alongside the course workbook.
See what is includedThe courses that teach this
- Give AI the Context It's Missing Write down what AI needs to know about you, once, and stop re-explaining your business
- How to Close More Sales with AI The three moments where deals are won or lost
- How to Build Your Brand Voice and Ideal Customer Avatar for AI So everything AI writes actually sounds like you