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Description
For consultants, advisors, and solo practices that want AI running the back office — the research, the exhibits, the debriefs, the follow-ups — so the founder stays focused on the actual thinking clients pay for. Ten hours with someone who spent years at Bain and as a Director at Deloitte, and who now runs his own prep business on the systems he builds: client research, exhibit and model pipelines, debrief notes, follow-up drafts, content for the practice itself. We start with positioning, because a system built on a fuzzy sense of what the practice actually promises ends up automating the wrong things. Then we build one client-facing or back-office system end to end, with a rules file, documentation, and a handover so you can extend it without me. Delivered over four to six weeks, with written support between working sessions.
What you'll get from this package
A positioning and workflow map — what your practice actually promises, and which steps get handed to an agent
One production system running end to end (for example: client research prep, debrief notes, follow-ups, or content), documented so you can maintain it
A rules file and handover notes so the system stays yours to extend after the sessions end
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
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Offered by Ashwin S.
Joined June 2024
4.96
Build AI solutions from prototype to production
I coach people who want to build something real with AI, not just get better answers out of a chat window. I run a software business that I built this way myself. No engineering team. That means I have made most of the mistakes already, and I can usually tell within a few minutes why someone's project is stalling. A few things I can help you build: • A working product or internal tool. MBB Prep runs AI case simulations, a large drill library, and a web app I built and shipped without engineers. If you have a product idea and no technical team, this is the conversation I know best. • Content and document pipelines. I generate presentation decks, formatted documents, and PDFs programmatically at volume, with quality checks that catch errors before anything reaches a customer. Most people stop at the first draft. The value is in the checking layer. • Research and data workflows. I run a weekly scraper that pulls listings from multiple sources and returns a clean, formatted spreadsheet. Same pattern applies to competitor tracking, market research, or any task you currently repeat by hand every week. • A house style a model can actually follow. I built a written system that keeps my scripts, sales copy, and coaching explanations in one consistent voice across everything I publish. If your AI output all sounds the same as everyone else's, this is the fix. • A single problem you are stuck on. Bring the project. We will scope it, work out whether a model can realistically finish it, and build the first working version together. • I will also show you where these tools fail. Output that looks polished is often quietly wrong, and business logic and maths are where it goes wrong most. So I will show you how to check a result before you rely on it, when to push back on what a model gives you, and where your own judgment still has to do the work. My consulting background is the useful half here. Structuring the problem before you prompt it is most of the work, and it is the step almost everyone skips.
$1,990
10h of coaching