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Latest updates from FetchSky.
Company news, and writing on digital transformation, chatbots and digital loyalty for banks and insurers.
- AI in production
Why most enterprise AI pilots never reach production
Most enterprise AI pilots never reach production because they were built to prove the model works, not to prove the system works. The pilot runs on a clean data export with no access rules and nobody depending on it. Production runs on live systems that disagree with each other, permissions written for people rather than software, a risk team that needs an audit trail, and a team that needs someone to call when it misbehaves. The model is rarely the hard part. The engineering around it is.
13 October 2026By Muhammad Ali Khoja
AI in productionEnterprise AI in production: the complete guide
Enterprise AI reaches production when it is built on real data, real permissions and real operations from the first day, not on a sandbox. That means connecting to the systems your teams already use, giving each task only the access it needs, logging everything the AI reads and does, and keeping a person in the loop for anything that affects a customer or moves money. FetchSky does this through a four-stage process: a free consultation, a six-week pilot on your own data, a scoped rollout, and ongoing operation. Published results include trade confirmations with 98% less manual effort and a four-day report cut to three minutes.
12 October 2026By Muhammad Ali Khoja