Enterprises everywhere are running dozens sometimes hundreds of artificial intelligence experiments. Yet, only a fraction ever survive the leap from impressive prototype to secure, mission-critical production.
The bottleneck facing enterprise leaders is rarely the intelligence of underlying foundation models. Instead, it lies in the fragile gap between speculative demonstrations and production-grade reality: governance, evaluation frameworks, deep systems integration, and human-centered change management.
In an in-depth conversation on the AIScento Podcast, host John Okoro sat down with Raghav Aggarwal, Co-Founder & Managing Director of Fluid AI an enterprise AI platform based in Mumbai that has spent over a decade automating complex workflows across banking, energy, and the public sector.
