The 75% Problem: Why Most AI Projects Die Before Production
Three out of four AI projects never reach production. Here's the exact moment they fail — and how to avoid it.
The data is damning: 75-85% of AI pilots never reach production. Companies spend $50K-$500K on "discovery phases" and walk away with a slide deck that never ships.
The failure point is almost always the same. It happens between the proof-of-concept and the production deployment. The POC worked in the sandbox. It impressed the stakeholders. Then it sat in a queue while IT evaluated security implications, procurement negotiated licensing, and leadership debated whether to "scale it."
By month six, the model has been updated twice. The intern who built the POC is gone. Nobody knows how it works. The initiative is quietly shelved.
The fix isn't better technology. It's a different process.
At Berserk, we skip the POC entirely. We go directly to production. Day one of Sprint 1, we're building something that will run in prod. Security is baked in from the start. Ops knows how it works because they're watching us build it. The model gets replaced before we launch? Fine. We're deploying the current version, not the version from six months ago.
Speed isn't about cutting corners. It's about eliminating the gaps where projects go to die.