Hyperbots at India AI Impact Summit 2026

The India AI Impact Summit 2026 brought together founders, AI practitioners, finance leaders, and enterprise operators for five packed days of conversations around where AI is actually heading, and more importantly, where it is already working. Hyperbots was on the floor at POD-3P29, Hall 3, Bharat Mandapam, New Delhi, and the experience was one of the most energizing we have had.

What We Showcased

Across the summit, we ran live demos of our P2P and O2C automation suite, walking attendees through what it looks like when finance teams move from manual, fragmented processes to end-to-end automation with real accuracy and real control. The interest was high, but what stood out even more was the depth of the questions. Attendees were not just curious about AI in finance, they wanted to know about production reliability, extraction accuracy, and how teams scale without adding complexity.

Three products anchored our presence at the summit:

HyperAPI drew significant attention throughout the event. Most LLMs and OCR tools plateau around 90% extraction accuracy and often drop to around 50% in actual production workflows. HyperAPI consistently delivers 99.8% accuracy across multi-format, multi-language finance documents, including files over 100 pages. That last 10% is not a rounding error. It is what determines whether a finance team trusts automation or spends its time fixing outputs manually. Attendees who understood that distinction walked away with a very different view of what finance-grade AI actually means.

HyperLM resonated strongly with CFOs and senior finance leaders who are not looking for another dashboard. They want unified intelligence, a finance-native AI workspace that reasons across systems rather than just summarizing data. HyperLM spoke directly to that need, and the conversations around it were some of the most substantive we had all week.

Finance and Accounting AI Co-Pilots which facilitated the Accounts receivable and the accounts payable workflows rounded out the demos, showing how AI agents can operate across real finance workflows, from intelligent document processing to faster, smarter, and more autonomous financial operations.

Responsible AI: Building for Conservative Stakeholders

One of the highlights of the summit was a talk by our co-founder Niyati Chhaya on Responsible AI in finance. Her core argument was one that a lot of AI builders tend to overlook: in high-stakes domains like finance, AI only works if conservative stakeholders actually trust it.

That trust is not built through benchmarks. It is built when systems behave predictably, when customer data is protected and anonymized, and when AI agents can operate safely inside messy, real-world enterprise workflows. At Hyperbots, this is the standard we build to every day. Seeing that perspective shape the Responsible AI conversation at a summit of this scale was genuinely encouraging.

Five Days Well Spent

The India AI Impact Summit 2026 gave us a clear signal on how finance teams want to adopt AI going forward. The appetite is real, but so is the scrutiny. Teams are moving past the hype and asking harder questions about accuracy, reliability, and what it takes to build enterprise finance systems they can actually depend on.

That is exactly the problem Hyperbots was built to solve, and we left New Delhi with new connections, sharper perspectives, and a lot of momentum.

More to come. 🚀