Case study · The Private Club
DeliveredThe AI engine behind an entire private investment community
How we restructured the operation of an investment community, from handling membership applications to the daily research brief members receive, into one interconnected system a small team can run as well as a much more structured one.
The Private Club is a private investment community with a large online following and a hundred-plus paying members.
The Private Club already has a large, loyal audience and an investment method people pay to learn. Everything else was run by hand. Members were tracked in Excel spreadsheets. Every application to join the club was read and handled one at a time, and whoever took the sales call did it without real preparation on how to close someone interested in joining the community. Every reply was written from scratch. The daily market brief members receive was put together slowly and improvised day by day, and so were the content and the presentations. No one had a single, honest view of how the business was actually performing. A team of a few people was doing the work of a much larger one, and growing meant adding hours of work and hiring more people, not more leverage.
We rebuilt the whole operation as one system interconnected with every activity. It starts at the top of the funnel: a new AI-built website, tuned for search engines, including local and AI search. When a request to join the club arrives, the system summarises it and hands the sales team a ready-to-run brief, so they come to the sales call prepared. Then, as the conversation unfolds, a sales assistant suggests stronger, on-brand replies that drive conversion.
Behind the scenes, members moved off the spreadsheet and into a CRM that manages them end to end, wired to the application form, a lead agent, and the sales flow. Alongside it, a constantly updated financial view: money in, commissions paid, and tool spend. A pool of agents write the daily and weekly reports the team runs on and produce the market brief every morning at the same time in a single pass. And they turn the founder's raw ideas into content ready to record and present to the community.
What used to take up most of the working day now runs automatically, extending what the team is able to handle. Every salesperson arrives prepared and ready to close, the market brief is published punctually every morning, the data lives in a single dashboard. And the founder can spend her time on market research and looking after members' interests, instead of thinking about the back office. The same team, with no hiring and no letting go, runs a community in constant growth, something that would not have been achievable with the methods they used before.
A community lives on trust and personal relationships. By automating the operation and increasing the focus on interactions, measurable satisfaction (NPS) rose considerably, and the team was able to give more time to growth. The method stays human-centric; the way of working has been automated.
The AI architecture we released has been customised and deployed in production, and it keeps evolving with the community.
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