A short, honest record of AI we've actually put into production — not demos, not slideware. We keep client names private, so these are anonymised, but the systems and the results are real. A few here today; more as we're cleared to share them.
Each of these went past the demo and into daily use, wired to real data, with a person still accountable for it.
A firm that assembled dozens of clients' monthly reports by hand — from email, WhatsApp and photographed receipts — now reviews AI-drafted reports instead. Accurate, source-linked, and signed off by a professional. Live across dozens of clients.
Read the case → Aviation · Customer supportA large US airline was losing customers to slow email support. An AI agent now replies in minutes, holds anything touching money for a human, and cuts time-to-full-resolution by around 70%.
Read the case → Insurance & financeA leading Israeli insurance group's AI kept hallucinating. We traced it to a ~30% mismatch in the data, rebuilt the pipeline, and put a hard 85% confidence floor under every answer.
Read the case → Property managementA large Israeli property manager had 8 people re-keying data by hand. We automated it end to end around a 15-year-old ERP — average handling time fell from 4 hours to 30 seconds.
Read the case → Retail · EnablementA large Western-European retailer had rolled out AI and almost no one used it. Role-specific, hands-on enablement took daily adoption from 15% to 85% and cut admin time by around 40%.
Read the case → Retail · Supply chainA large US retailer was losing money to spoilage and empty shelves. Per-branch demand forecasting a buyer approves cut waste ~30% and out-of-stocks 60%, and dropped buyer admin from 4 hours a day to 15 minutes.
Read the case → Retail · PricingAn Israeli retailer was running promotions that quietly lost money. Real-time margin costing with a hard 12% floor blocks any loss-making deal before it hits the till — lifting gross margin by around 4%.
Read the case → Retail · OperationsStore managers waited days on HQ for a spreadsheet. An AI assistant in WhatsApp answers data questions in seconds and flags issues proactively — cutting report requests to HQ by ~70%.
Read the case → Insurance · FraudA European insurer was bleeding money to claims fraud while honest customers waited days. A real-time risk engine cut fraud losses 60% and false alarms 80%, and dropped legitimate approvals from 5 days to 30 seconds.
Read the case → Media · SubscriptionsA large Israeli content provider was losing thousands of subscribers a month with no warning. Early churn prediction with automated, personalised retention cut monthly churn ~25% and lifted usage 40%.
Read the case → Media · ProductionA large US content company burned thousands of hours tagging and searching its archive. An AI content pipeline plus free-text search cut retrieval from days to seconds and localisation costs ~60%.
Read the case → Advertising · MediaA leading Israeli ad agency sold inventory off fixed rate cards, losing at both ends. A yield engine with privacy-safe audience matching lifted ad revenue ~18% and cut proposals from days to minutes.
Read the case →We don't publish client names — not because we can't, but because the firms we work with would rather their competitors didn't know exactly what they've automated. The engagements are real and the numbers are theirs; the anonymity is deliberate.
If you want to go deeper than a web page allows, that's a conversation. We're happy to talk through how any of this was built, and what it would take on your own systems, on a call.
Reef TRH