Companies waste hours hunting the internet for what to buy and from whom. A buyer learns what you order, watches your stock, flags what's running low and finds reliable suppliers — it never buys on its own, it proposes and you decide.
Growing companies rarely have a dedicated controller — controlling lives in one person's spreadsheets, arrives late and looks backward. We show how to turn it into a loop that collects, validates, explains and gets sharper at forecasting every month.
Customer requests arrive through email, forms, chat, calls and internal notes — an inbox that looks busy but gives no control. We show how to turn scattered requests into a controlled loop that classifies, prioritizes, assigns, drafts a reply and measures what keeps repeating.
Many companies say they have reporting — what they have is someone copying numbers between Excel, ERP, CRM and email every week. We show how to turn recurring reports into a controlled improvement loop that collects, validates, explains and tracks decisions.
Invoices rarely get stuck because accounting is slow — they get stuck in scattered emails and follow-ups. We show how to build a controlled approval loop that captures invoices, routes them, tracks what's waiting and learns where the bottlenecks are.
How AI turns scattered calls, emails and meeting notes into a living company wiki that stays up to date by itself — with sources, fact-checks and a human in control.
How to cut empty kilometers in trucking — a solution that suggests concrete steps to the dispatcher and learns from decisions. With a model saving of ~€660k/year on a 200-truck fleet.