Multimodal and real-time voice AI will unlock new interaction models
FinTech BizNews Service
Mumbai, 30 December 2025: As we step into 2026, Ganesh Gopalan, Co-Founder & CEO, Gnani.ai, has shared an insightful thought for action. Gnani.ai is an India-born Agentic AI and Voice Infrastructure company building foundational voice models and systems for enterprises and governments. Fluent in over 15 Indian languages, Gnani.ai works with 200+ large organizations, including Tata Group, Mahindra Group, and Air India, to deploy speech-first AI at population scale:
Ganesh Gopalan, Co-Founder & CEO, Gnani.ai, explains:
“Enterprises are no longer satisfied with AI that waits for instructions. They are demanding systems that understand context, anticipate intent, and act with confidence inside real operational environments. That shift became unmistakable in 2025 and fundamentally changed the conversation around what enterprises will expect from AI in 2026. 2025 also set the foundation for the next phase of enterprise AI adoption. Agentic AI moved from concept to capability, generative models shifted from experimentation to production impact, and enterprises began standardizing on AI systems that can reason, orchestrate, and act autonomously. As we look to 2026, this momentum accelerates. Agentic systems will become the default operating layer for customer operations, risk, and service workflows. Small Language Models and speech-to-speech architectures will drive higher precision, lower latency, and stronger compliance in regulated environments. Multimodal and real-time voice AI will unlock new interaction models, while sovereign and responsible AI frameworks will move from policy discussions to hard deployment requirements. With strong tailwinds from initiatives like the India AI Mission and growing global demand for trusted, production-grade AI, 2026 will not be about whether enterprises adopt agentic AI. It will be about who can deploy it at scale, securely, and with measurable outcomes. 2026 will be the year AI agents move from conversation to action and become embedded into core enterprise workflows.”
