Recover Hidden Cash
Find duplicate payments, unapplied credits and price drift, then turn the evidence into a controlled recovery workflow.
Learn general AI through realistic company work. Every project uses Inspector to define the evidence boundary, then brings in only the Mariete products needed to finish and verify the result.
9 projects
Each project teaches the general AI method, uses Inspector to control evidence, then applies the relevant Mariete products to finished work.
Find duplicate payments, unapplied credits and price drift, then turn the evidence into a controlled recovery workflow.
Review a contract against house positions, preserve every quote and model the consequences of accepting the disputed terms.
Turn support tickets, interviews and cancellation data into a defensible churn diagnosis and a rehearsed retention response.
Compare list prices, invoices, discounts and market evidence, then choose a price action with its consequences visible.
Use current customers, lost deals and adjacent demand to choose one evidence-backed growth move and prepare it for market.
Turn financial, customer and operational evidence into a board decision whose claims, assumptions and consequences can be inspected.
Convert a proven evidence task into a bounded AI workflow with tools, evaluations, approvals and recovery paths.
Choose a company context, define the evidence and decision, then deliver one complete multi-product project without a prepared path.

Redesign a real university assignment so AI deepens learning while student understanding remains visible and reviewable.