Revolut's Real-World Lessons in Deploying GenAI
nathanbenaich · x · 2026-07-19
Revolut's Nikolay Donets shared practical insights from their large-scale AI rollout:
- The company now has twice as many GenAI use cases as traditional ML, spanning 40+ countries and 200+ products.
- They encountered deployment issues like "a model in the fallback chain silently failing, leaving the team completely blind."
- Generative model costs are also substantial, with frontier models costing up to 8x more than alternative solutions.
- At a scale of 25,000 calls per month, their voice assistant has increased issue resolution speed by 8x.
More from coding & agent
- GPT-6 Astra beats Factorio with enemies in 44 in-game hours at ~$4,500 API cost — liminal_bardo · 2026-09-11
- 105 hidden bugs, 2 repos: DeepSeek V4.1 Flash fixes 24 at $1.80 vs Opus 5's 27 at $51.33 — ChartsJournalX · 2026-09-11
- Investment Analyst Asks How to Build a Claude-Based Diligence Agent Stack — Careless_Tie2286 · 2026-09-11
- Treating agents like 50 First Dates: a 3-layer context system so every conversation doesn't start from zero — evielync · 2026-09-11
- Running the Firefox MCP on Android via Termux, ngrok, and mcp-proxy — Nervous-Strain7544 · 2026-09-11
- SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11