Prepared by Andrew Herbert · AI Strategist · REMAP.ai
For years Francesca’s growth has been predictable, week on week — until this year, when it wasn’t. In one call we found three concrete frictions behind that shift: a fully manual locket fulfilment process that costs two seasonal hires every peak, a $1M/month Meta program running without AI-assisted analysis, and a website that is invisible to the AI search engines your customers are starting to use instead of Google.
We do not need to imagine the friction. You described it. Here it is reflected back — because solving it starts with making sure you know we actually heard it.
“We have to hire like two Filipino people to do it over our busy periods.”
“The process that got us here is not going to get us there.”
“Breach of information, something happening to any of the plugins, the website, all the things.”
Specific to a business like yours — with the complexity, team, and clients you are managing.
Picture your busiest week of the year. A locket order lands in Shopify. Within minutes the image is pulled, cropped, and placed into the print template, then queued for production — no one touching a mouse, no seasonal hires required.
Your $1M/month Meta budget is now backed by an agent that watches your competitors’ top-performing ads, benchmarks your own creative against them, and hands your team a weekly brief — a human always approves the spend, never an autonomous agent.
Someone asks ChatGPT for a personalised locket necklace in Australia, and Francesca is the answer it gives them — because your site now speaks the structured language AI search engines read.
Before this conversation, we ran a quick audit on your website — checking how Francesca appears to AI search engines. What we found matters, and most businesses have no idea this is happening to them.
francesca.com.au is a rich Shopify storefront built to convert browsing shoppers — but when we checked how AI engines read the same pages, most of what makes Francesca distinctive (the $1.25 million in charity giving, 9,000+ five-star reviews, the locket customisation process) is not structured in a way ChatGPT or Google’s AI Overviews can extract and cite.
An agent watches every live ad, benchmarks your own Meta spend against your competitors’ top performers, catches creative fatigue before it costs you, and shifts budget toward what’s already winning — a human always approves the spend, never an autonomous agent. See “Since we last spoke” below for what’s changed here.
We connect directly into Shopify’s API to pull each locket image the moment an order lands, crop and place it into your print template automatically, and queue the final file for production — the entire manual process replaced end to end.
We fix the three gaps the audit identified. Your homepage content becomes readable to AI crawlers. Structured answer content goes in so AI engines can extract what Francesca does. Your credentials are wired into structured data that AI search engines can verify, cite, and surface when someone asks for a business like yours.
A dedicated layer sits between your business systems and any AI tool you connect — Claude, ChatGPT, or otherwise — so customer and order data never leaves your control without your knowledge.
A quick update for you and your team while this is under review.
You flagged your Meta ad spend as the biggest lever available to you. Since we first spoke, we went looking for the most proven way to act on that — and found it in the same open-source AI agent framework REMAP already builds on for clients. It watches every live ad, catches creative fatigue before it costs you, and shifts budget toward what’s already winning — without adding headcount or replacing your creative team. The same tooling extends cleanly to TikTok the moment that becomes part of your mix.
The four projects above are what we identified without looking inside Francesca. The AI Adoption Pathway is what happens when we do.
In month one — running alongside the candidate selection and the four identified projects — your team completes the AI Adoption Pathway surveys. We map every process, every friction point, every place where time is being lost or value is being left on the table.
Andrew holds a strategy session with you at the end of week two to three. What comes out is a prioritised, ROI-ranked plan of AI opportunities specific to Francesca. Not a generic framework. Your plan. Your specialist works from it every week, reviewed every quarter.
The four projects give you momentum from day one. The Pathway gives you direction for everything that follows.
All engagements are a minimum three-month term, billed monthly in Australian dollars. Rates are fixed for the full engagement.
Infrastructure costs and Private AI hosting quoted separately. Full details at remap.ai/aispecialist
A clear sequence. Every step is managed by REMAP — your involvement is focused and minimal.
You sign the engagement agreement. Billing begins. The specialist search opens immediately, and we send your team the AI Adoption Pathway surveys so that process runs in parallel from day one.
We build your panel of three matched specialists. You meet all three and make your selection — typically completed by the end of week two. Pathway surveys are completed by your team in this window, running alongside.
Your specialist joins Francesca and can initiate all four identified projects from day one. The AI Adoption Pathway audit wraps up. Andrew holds your strategy session — the full roadmap is built, reviewed together, and handed to your specialist as their expanded work queue.
Your specialist works from the full roadmap — the four identified projects running to completion, alongside newly prioritised opportunities from the Pathway audit. First quick wins typically ship in this window. Delivery continues, reviewed and reprioritised quarterly.
You have done the hard part — you know what needs to change. The next step is simply beginning. Everything from here is managed by REMAP.