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A closer look at practical AI systems, the workflows they connect, and the controls that keep people involved.
All case studies
6 case studies
A chatbot that helps customers track personalized orders and report problems, while reducing the support team’s workload.
40% of requests resolved in chat, 75–80% less email back-and-forth on escalated requests, and eight guided support workflows.
A conversational AI workflow that structures company strategy, supports roadmap intake, and keeps people in control of review and submission.
Covers 22 strategic questions, document-assisted input, answer review, and roadmap prioritisation.
A workflow that turns personalized Shopify and Amazon orders into printer-ready grids, barcode sheets, shipping labels, and gift-note files.
Reduces a six-hour daily process to minutes across two order sources, Billbee synchronization, and printer-ready file generation.
I automated contact preparation and email personalization so the team could launch campaigns faster, achieve 90% higher reply rates and support up to three times as many clients per representative.
10,000 contacts processed in 30 minutes, 90% higher reply rates, and up to three times as many clients supported per representative.
I built an AI conversation engine that turns positive and neutral email replies into sales conversations, follows up consistently, and hands booked meetings to salespeople with the full conversation history.
Doubled meeting bookings for one client, with larger increases reported for others.
An AI-assisted workflow that discovers Steam games, turns their trailers into narrated vertical videos, and schedules approved content across social platforms. I built it to experiment with automated video production while keeping control over the final edit.
2–5 minutes per video, four or five drafts processed in parallel, and approved content scheduled across three platforms.
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