⚡ Breaking - What's not working in TRAI's AI led spam crackdown?

📰 BREAKING

TRAI's AI-powered spam detection system is blocking legitimate business messages at scale while fraud calls continue. The regulator deployed pattern-matching AI without operational feedback loops, creating false positive rates that Indian banks and telcos now inherit as reputational risk.

This is what happens when compliance AI runs in production without governance architecture built in from the start. No human-in-loop escalation paths. No model drift monitoring. No fallback protocols when the classifier fails.

For CTOs building agentic workflows under APRA CPS 230 or Privacy Act requirements, this is the preview: regulatory AI that can't self-correct becomes a liability, not a control. Production readiness means designing for failure modes before deployment, not patching governance after the system scales.

At QikAI, we architect agent systems with compliance as infrastructure—audit trails, human override paths, and drift detection baked into the workflow layer. Because pilots that work in demos break differently than systems that break in production.

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