Most AI strategies fail at data readiness
Integration is the easy part. Anyone can connect Salesforce to an LMS. Then real organisational data shows up and the demo breaks. AI doesn't fix messy data — it amplifies it.
Short pieces on what actually works — and what quietly breaks — when AI meets real organisational data and real teams. Written by Vikram Katyani, founder.
Integration is the easy part. Anyone can connect Salesforce to an LMS. Then real organisational data shows up and the demo breaks. AI doesn't fix messy data — it amplifies it.
AI systems behave like living products. Models evolve, data drifts, user behaviour shifts. The teams winning aren't the ones with the best initial build — they're the ones who treat post-launch as the real work.
Even the smartest agents fail without the right context. The real success of our system didn't come from clever orchestration — it came from the precision of the domain knowledge built in at every step.
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