Who is Adarsh Agrahari?

Adarsh Agrahari is a product leader working on AI products and platforms. He is Associate Director, Product & Design at HROne, where he led One AI, a multi-agent HR copilot. Earlier he built the Spend Power credit decisioning engine at Paytail, the Work Graph at Soroco, and SolarPulse predictive maintenance at Mahindra.

What has Adarsh Agrahari built?

One AI at HROne, a multi-agent HR copilot running in production across enterprise orgs. Spend Power at Paytail, a credit decisioning engine that scaled from pilot to a pan-India lending book. SolarPulse at Mahindra, anomaly detection across a gigawatt-scale renewable portfolio. The Work Graph at Soroco, which models how enterprise teams actually work.

What companies has Adarsh Agrahari worked at?

HROne (Associate Director, Product & Design), Paytail (Senior Product Manager), Soroco (Product Manager, AI & Automation), and Mahindra Group (Product Manager, Renewable Energy). He has also advised Doubtnut, Quarical.ai, Bitgrit, and Relevel by Unacademy, and founded HCS Business Solutions and GSpin.

Where does Adarsh Agrahari teach?

He teaches GenAI Product Development as visiting faculty at Masters' Union, product management at ISB Executive Education, and has taught at Mesa School of Business and Upraised. He has spoken at XLRI Jamshedpur and ProductTank.

How does Adarsh Agrahari approach multi-agent AI systems?

Specialized agents for each domain rather than one model doing everything, a lightweight orchestrator to route between them, vector memory for context retention, and human-on-loop guardrails wherever a decision has consequences. One AI at HROne uses this architecture across payroll, leave, and performance.

What does Adarsh Agrahari write about?

Essays on product management, AI governance, and systems thinking, plus case-study teardowns of the systems he has built. He has also published books on personal finance and product development.

Case Notes

Case Studies

Each one is written as a decision document: the question we faced, the call we made, the tradeoff it carried, and what the evidence showed afterwards. Full case notes coming soon on Substack.

HROne•2023 – Present

One AI: From Chatbot to Multi-Agent HR Copilot

The Question

How do you build AI that understands context across payroll, attendance, leave, and performance — without hallucinating on compliance-sensitive data?

The Evidence

Running in production across live enterprise orgs.

Full case note on Substack — coming soon

Paytail•2022 – 2023

Spend Power: Credit Decisioning for Offline India

The Question

How do you build a credit engine that works without CIBIL, for borrowers the bureaus cannot see?

The Evidence

Scaled from pilot to a pan-India lending book.

Full case note on Substack — coming soon

Mahindra TEQO•2020 – 2021

SolarPulse: Predictive Maintenance for Gigawatt-Scale Renewable Assets

The Question

Mahindra TEQO managed a gigawatt-scale renewable portfolio. Can we predict inverter failures before they happen?

The Evidence

Deployed across the managed renewable portfolio.

Full case note on Substack — coming soon

KUBER.ai•2024 – Present

KUBER: The UI-Less Business Concierge

The Question

Can a business run entirely through conversation — orders, inventory, invoicing — without a single screen?

The Evidence

Live with small businesses running entirely over chat.

Full case note on Substack — coming soon

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