Marketing leaders spent two years learning to use AI. The harder chapter is making sure it stays accurate, on-brand, and inside the rules — at machine speed.
For India’s marketing chiefs, the first AI chapter was about capability: adopt the tools, ship faster. That’s largely done — 81% of Indian marketers now use AI. The next chapter is control, and it’s harder.
The reason is a mismatch. AI has spread content creation across every tool and teammate, while brand knowledge — the approved claims, the tone, the rules — still lives in documents and a few senior heads. So every tool generates confidently on assumptions, and most are guesses. Multiply small errors across thousands of assets and you get drift: a brand quietly becoming a slightly-off version of itself, in public.
In India, the stakes are sharper. Digital is where the ad rules break most — India’s advertising self-regulator found that of 6,117 ads reviewed, 98% needed changes, with complaints up 70% year on year. An AI tool that softens a required line or invents a benefit isn’t just off-brand; it’s a compliance problem.
The instinct is more review. But review is what AI broke — cross-functional review friction rose 3.4× in a year. You can’t hand-inspect content made in seconds.
“CMOs are told to move at AI speed and stay compliant at human speed, and those two are pulling apart,” says Piush Gupta, Founder & CEO of kbie. “The answer isn’t more reviewers. It’s moving brand knowledge into the tools, so what gets made is on-brand from the start.”
Done right, governance stops being a brake and becomes a rail — the output arrives mostly-right, and review shrinks to real edge cases.
kbie is brand governance for the AI era — it turns your brand into a verified knowledge graph, so everything you and your AI tools publish stays on-brand, accurate, and safe to ship. → https://kbie.ai
The CMOs who treat AI governance as core — not an IT afterthought — will keep their brands coherent as everything speeds up.