Associate Director of Product Management, S&P Global

Aadarsh Bohara

I lead product for a customer identity platform used by 4 million people across 200+ product lines, and I build AI agents that take real work off people's desks.

4M Users 200+ Product Lines $4B+ Revenue Supported

Calgary, Canada
Portrait of Aadarsh Bohara
Organizations I've worked with
Point of View

Two Problems I Work On

Time to First Outcome: Months to Weeks

Most enterprise onboarding time is spent waiting. Removing the waits took client setup from two months to two weeks in local government, and cut customer onboarding time 80% in my current role.

2 months to 2 weeks
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Identity for AI Agents

Agents hold credentials but are not people. These are the five identity questions I answer before an agent touches customer data, drawn from an enterprise agent pilot.

5 questions before an agent acts
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Customer Identity & Entitlements Platform
Enterprise Scale

Customer Identity & Entitlements Platform

The customer identity platform behind 200+ product lines: 4 million users, 42,000 licenses, and $4B+ in revenue supported.

4M+ Users
200+ Product Lines
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Agentic Entitlements Workflow
Applied AI

Agentic Entitlements Workflow

An AI agent that assembles a complete customer entitlement setup from an incoming order, then hands the commit decision to a human. In pilot.

2-5h Manual Work / Order
40+ Specialists
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Platform AI Assistant
Applied AI

Platform AI Assistant

A RAG assistant that lets 150+ internal teams answer their own integration questions. The build took weeks; adoption took months.

60+ → 12 Tickets / Week
50+ Hours Weekly
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Agents do the reasoning and the legwork. Humans keep the commit on anything irreversible.

I lead product teams, and I stay close to the build.

I lead a 22-person product team across three global teams, and I aligned 30+ business lines on shared platform standards without any of them reporting to me. The line above is how the entitlements agent I'm piloting works: it drafts the whole setup, and a specialist approves the commit. On my own time I build AI products and MCP servers, which keeps my calls on models, retrieval and agent design honest.

22 People Led
30+ Business Lines Aligned
150+ Teams on the AI Assistant
Insights

Latest Writing on Product and AI

Notes on customer identity, AI agents and enterprise product, written from the work.

When a Product Leader Goes Back to Building: Reviving 5-Year-Old SaaS With AI
GenAI • 8 min read

When a Product Leader Goes Back to Building: Reviving 5-Year-Old SaaS With AI

Parental leave has a funny way of slowing life down in the best possible way. Between diaper changes, late-night feeds, and short naps, I found myself with something I hadn’t...

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How to Build AI Products That Actually Solve Problems (Not Just Use Technology)
GenAI • 8 min read

How to Build AI Products That Actually Solve Problems (Not Just Use Technology)

The Technology Trap That’s Costing Enterprises Millions Every month, I see the same pattern repeat itself: leadership teams greenlight AI initiatives based on technological capability rather than business necessity. The...

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Integrating Generative AI into Your SaaS Product: A Guide with Real Examples
GenAI • 11 min read

Integrating Generative AI into Your SaaS Product: A Guide with Real Examples

The buzz around Generative AI in SaaS is deafening, and for good reason—it’s opening doors we only dreamed of a few years ago. Yet, amidst the excitement, there’s a crucial...

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Let's Connect

Tell me what you're working on.

If it involves customer identity, AI agents or a platform that has to scale across many products, I'd like to hear about it. I reply personally.

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