Bharat Mandapam was buzzing — 300+ exhibitors from over 110 countries, 20+ Heads of State converging later this week, and Sundar Pichai landing in Delhi for a keynote. The India AI Impact Summit 2026 is massive by any measure.
Which of these AI tools can actually survive contact with Indian government reality?
Not the pitch deck reality. The ground reality. The 10,000-user, legacy-system, compliance-heavy, can't-afford-downtime reality.
With that lens, I walked the expo floor for hours. And seven solutions stood out — not because they had the flashiest booths, but because they addressed problems I deal with every single day.
Here's what I found.
1. Deloitte PRAGYA — When Consulting Meets AI at Scale
Deloitte's PRAGYA platform wasn't just another enterprise AI dashboard. What caught my attention was how it bridges the gap between strategic advisory and operational execution.
In government, we've seen no shortage of consulting reports that gather dust on shelves. What we need are tools that take a recommendation and help you implement it — across hundreds of offices, with varying levels of digital maturity, in real time.
PRAGYA seems to be built for exactly that kind of complexity. For large-scale government transformation programs — the kind where you're implementing a new Act across an entire department — this is the type of AI-assisted project intelligence that could change how we manage reform.
2. LKS In-House Litigation Management — This One Hit Home
If you've ever managed litigation portfolios in government, you know the pain. Thousands of cases. Multiple courts. Overlapping deadlines. Paper trails that would fill a warehouse.
I've spent years in ITAT litigation and transfer pricing disputes both in Mumbai and Amritsar, including cases worth hundreds of crores. The single biggest bottleneck isn't legal strategy — it's tracking, coordination, and institutional memory.
LKS has built an AI-powered litigation management system designed for in-house legal teams (as of now). Automated case tracking, deadline management, outcome analysis, and pattern recognition across your case portfolio.
For the Income Tax Department — which handles lakhs of cases across the country at any given time — a system like this isn't a luxury. It's an operational necessity. The question isn't whether we need it. It's how fast we can adapt it to our scale.
3. Smoothtalk AI — Virtual Calling That Could Transform Citizen Services
Picture this: a taxpayer in a Tier 3 city has a query about their assessment. Today, they call a helpline, wait, get transferred, explain their problem three times, and maybe — maybe — get a resolution.
Smoothtalk AI is building virtual calling agents that can handle these interactions with natural, human-like conversation. Not the robotic IVR menus we've all grown to hate. Actual contextual dialogue.
For any government department that handles millions of citizen queries — and the Income Tax Department certainly does — this technology could fundamentally reshape the service delivery experience. Imagine every taxpayer getting an intelligent, patient, context-aware agent on the other end of the line, available 24/7, in multiple languages.
We're not there yet. But the demo I saw suggests we're closer than most people think.
4. Government AI — A UK Perspective on Sovereign Deployment
This one was fascinating for a different reason. Government AI is a UK-based platform built specifically for public sector use cases.
What made me stop and engage wasn't just the product. It was the philosophy. They've clearly thought through the unique constraints of government — compliance requirements, audit trails, data sensitivity, and the fact that "move fast and break things" is not an acceptable operating principle when you're dealing with citizens' data and rights.
Seeing how another country approaches sovereign AI deployment gives useful comparative perspective. At CBDT, as we think about integrating AI into tax administration, understanding global best practices — not just Silicon Valley practices — is essential. The UK's approach to government-specific AI platforms is worth studying closely. They infact have their own courses on iGOT platform.
5. ACTUALITY — On-Premise Deployment for Data That Can't Leave the Building
This is the unsexy but critical conversation that most AI summits skip.
Every AI vendor will tell you their cloud solution is secure. And maybe it is — for a private company. But when you're dealing with taxpayer data, national security information, or sensitive government records, "trust our cloud" is not sufficient.
ACTUALITY offers on-premise AI deployment. Your data stays on your servers. Your models run on your infrastructure. Full control, full compliance.
For Indian government agencies bound by data localization requirements and handling some of the most sensitive personal data in the country, on-premise deployment isn't optional. It's the baseline requirement for any serious AI adoption. ACTUALITY understands this, and that alone puts them ahead of a lot of flashier competitors who haven't thought through the government procurement and compliance lens.
6. Sovereign AI — Local LLMs for Government Solutions
If ACTUALITY addresses where the data lives, Sovereign AI addresses something equally important: where the intelligence comes from.
Large Language Models trained on Western internet data don't inherently understand Indian tax law, Hindi administrative procedures, or the nuances of how a CBDT circular differs from a notification. They can approximate. They can't natively operate in our context.
Sovereign AI is building local LLMs designed for government use — models trained on local data, in local languages, for local administrative contexts. Data stays within borders. Models understand the operating environment they're deployed in.
This is the future of public sector AI, and India — with its scale, linguistic diversity, and digital infrastructure ambitions — should be leading this charge. The IndiaAI Mission's focus on building indigenous AI capacity aligns perfectly with what Sovereign AI is demonstrating.
I can tell you: the gap between a generic LLM and one that understands Section 148A of the Income Tax Act 1961 is not a nice-to-have. It's the difference between a tool that helps and one that creates more problems than it solves.
7. FUSKI.ai — Training Your Workforce Before You Deploy Your AI
Here's a truth that doesn't get enough airtime at AI summits: the biggest bottleneck to AI adoption in government isn't technology. It's people.
You can have the most sophisticated AI system in the world, but if the 50,000 officers who are supposed to use it don't understand it, don't trust it, and haven't been trained on it — you've just bought a very expensive piece of software that nobody opens.
FUSKI.ai builds AI-powered training modules for workforce upskilling. Custom learning paths. Adaptive difficulty. Progress tracking. The kind of structured capability building that large organizations need before they can meaningfully adopt AI tools.
When I think about our challenge at CBDT — implementing a new Act across 700+ offices with staff at wildly different levels of digital comfort — this is exactly the gap that needs filling. You can't just send a circular saying "use AI now." You need a systematic, scalable training infrastructure.
FUSKI.ai could be that infrastructure.
The Bigger Picture
Walking the expo floor, what struck me most wasn't any individual product. It was the shift in the overall conversation.
Three years ago, the question at these events was: "Should government use AI?"
Two years ago, it became: "Can government use AI responsibly?"
Yesterday at Bharat Mandapam, the question had evolved to: "How fast can we deploy AI, and what's stopping us?"
That's a seismic shift. And it tells you something about where India — and the Global South more broadly — stands in the AI landscape. We're not spectators in this revolution. We're not waiting for Silicon Valley to build solutions and then adapting them for our context.
We're building. We're deploying. We're setting the terms.
The India AI Impact Summit 2026 — anchored in the three Sutras of People, Planet, and Progress — isn't just a diplomatic gathering. It's a statement of intent. India is positioning itself as a global convenor for responsible, inclusive AI. And based on what I saw on the expo floor, the ecosystem is rising to match that ambition.
The summit continues through February 20th (in fact extended to 21st Feb for general public), with PM Modi's inaugural address tomorrow setting the tone for the main event. I'll be watching closely.
But if the expo is any indication, the future of AI in governance isn't coming.
It's already here. Walking the floor at Bharat Mandapam.
