Some examples from the last couple of years.
None of these started clean.
Short-term rental operator, 100+ properties. Property management, UAE
A short-term rentals platform built their tech stack with a vendor that became unresponsive. We stepped in as fractional CTO and stood up a lean AI-enabled engineering team from scratch, with strong processes for prioritisation, coordination, and delivery. The team now ships five times faster than the vendor did, at lower cost, on infrastructure the company actually owns. New features now are built in a day, instead of a couple of weeks.
Quick-commerce operator, 200+ warehouses. Ecommerce and fulfilment, Europe and USA
A quick-commerce company running over 200 warehouses had scaled faster than its systems. Master data, inventory, supplier ordering, and fulfilment all lived in ungoverned Google Sheets. The data was incomplete, inconsistent, and impossible to build on. The P2P process was stuck, demand forecasting couldn't run, and supplier orders were not matching deliveries and invoices. Losses from the gap were estimated at 2.5M per month. This was fixed by a unified commercial ops platform that gave all of it one governed home, integrated with suppliers' systems.
Digital agency, $10M+ revenue, 100+ people. Marketing services, Italy
A digital agency doing $10M+ per year with over 100 people and a decade of operational data wanted to move fast on AI. Two goals: expand into new revenue-generating services and cut operational overhead. With everything on the table, they had no clear starting point. We ran a focused strategy engagement: workshops to map the business' and founders' 10x opportunities, prioritisation of the potential initiatives, and a sequenced build plan with a clear first move. The first pilot ran in 4 weeks.
Hospitality AI operator. AI agents for hospitality, Europe
A company building AI marketing agents for hospitality operators launched without any monitoring in place. They had no visibility into whether the agents were working. The service was up. Whether users were actually achieving what they came for was anyone's guess. Posting content, growing engagement, getting direct bookings. All 30 early customers churned silently before anyone understood why. We defined a product analytics framework with clear metric definitions for every agent and set up lightweight PostHog-based monitoring. The second launch kept customers.
Content generation operator. Short-form video, UAE
Their platform produced content with no memory of what it had already made, so every piece looked like the last one. We respecified the context layer as loops tracking prior output per topic and rewrote the prompts around the founder's own voice. Output went to 150+ pieces a week at more than 90% lower cost, reaching millions of viewers monthly.