Insights

Field notes from building AI in production

Short pieces on what actually works — and what quietly breaks — when AI meets real organisational data and real teams. Written by Vikram Katyani, founder.

Data Readiness · 13 Apr 2026

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.

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Engineering · 7 Apr 2026

AI applications aren't 'build once, run forever'

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.

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AI Strategy · 2 Nov 2025

When expertise meets AI: lessons from a multi-agent system

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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