The India AI Impact Summit 2026 in New Delhi is not just a policy event; it is a clear signal of how AI will shape enterprise strategy, governance and operations over the next decade. Even if you could not follow every session at Bharat Mandapam, the first three days already tell us what enterprises need to do next.
Here’s a concise recap from an enterprise lens.
1️⃣ Day 1 – From hype to national AI strategy
Day 1 set the tone with keynotes, policy focused panels and expert roundtables that framed India’s “AI for All” and impact first vision. The message was clear: AI is now a national priority, tied to economic growth, public service delivery and inclusion, not just a tech experiment.
For enterprises, this means:
- Expect stronger expectations on AI governance, transparency and responsible use.
- Align AI roadmaps with national priorities like digital public infrastructure, inclusion and citizen‑scale services.
- Move beyond pilots leaders now expect visible, measurable impact from AI investments.
2️⃣ Day 2 – Applied AI and sector playbooks
Day 2 shifted from strategy to execution with a high energy Seminar on Applied AI and the launch of sectoral AI Knowledge Compendiums casebooks covering deployed AI use cases in health, education, agriculture, energy, gender empowerment and accessibility. These casebooks showcase over 170 real implementations and policy aligned use cases.
Enterprise takeaways:
- Applied AI is no longer theoretical: there are concrete patterns for how to use AI across industries.
- The winning implementations combine data foundations, workflow automation and guardrails rather than just model selection.
- Organisations that systematise “idea → use case → pilot → scaled deployment” will pull ahead fastest.
This is exactly where platforms and partners who understand both business process and AI (like Mejuvante.ai) can help: document intelligence, decision support, intelligent automation and risk‑aware deployment.
3️⃣ Day 3 – Bridging research, infra and real‑world scale
On Day 3, the Research Symposium and industry sessions focused on connecting frontier AI research with real deployments, including sovereign AI infrastructure, trusted AI systems and full‑stack solutions from global and Indian players. Discussions ranged from national AI platforms and sovereign models to supply chain transparency, digital identity, and full stack AI with cloud and edge.
What this means for enterprises:
- You will increasingly operate in an ecosystem with sovereign and domain specific models, not just one global model.
- Infrastructure choices (cloud/on prem/edge) and data architecture are now strategic, not just IT decisions.
- Research grade ideas like multimodal AI, agentic workflows and safety evaluation will reach production much faster than before.
Enterprises that invest early in MLOps, monitoring and governance will be able to absorb this innovation safely and at lower cost.
So, what should enterprise leaders do now?
From Days 1-3, three clear action items emerge for CIOs, CDOs and business heads:
- Define your AI north star Tie AI initiatives to 3-5 concrete business outcomes (cost, revenue, risk, experience) that also align with India’s impact first approach.
- Build a practical AI operating model Establish governance, data readiness and a repeatable process to take use cases from idea to scaled deployment, using learnings from the sector casebooks and applied AI sessions.
- Prepare for a multi model, regulated future Design for sovereign/Indic models, domain models and global models co existing, with clear policies on risk, compliance and monitoring.
At Mejuvante.ai, we see these three days as a wake up call: AI strategy is now enterprise strategy. The organisations that move first on governance, applied AI use cases and scalable infrastructure will define the next decade.
If you’d like a deeper breakdown or a custom enterprise AI roadmap aligned with the Summit themes, we’re happy to share more insights and frameworks.
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