Applied AI · Product Leadership

From AI strategy to products that work.

I build and scale enterprise AI products, combining product strategy, technical judgment and hands-on AI-assisted building to solve real customer problems. My experience spans developer platforms, agentic AI and regulated enterprise workflows.

Harit Shukla in front of a bookshelf
AI Product Leadership · Enterprise SaaS · Developer Platforms

Selected work

Selected work. Real-world complexity.

All impact stories
  1. Bringing GenAI into how enterprise developers build applications

    Shaped the product strategy and developer experience for GenAI-assisted application development on an enterprise automation platform, and took it to customers at annual conferences and developer meetups.

    Read in Impact Stories: UiPath Autopilot for Apps
  2. AI/ML for drug-safety workflows where accuracy is not optional

    Led product for a multi-tenant AI/ML platform for adverse-event processing, used in high-scale pharmaceutical safety workflows where traceability and compliance shape every product decision.

    Read in Impact Stories: Vitrana pharmacovigilance platform
  3. Leading Scout, a Voice AI product live with real users

    As AI Product Lead at TrueArq, I lead Scout: a Voice AI assessment that helps students and parents think through education and career choices. It is live in production at truearq.com (opens in a new tab) and used by real families.

    Live in production Read the Scout story: TrueArq Scout

24 years
B2B SaaS product leadership
0→1 and 1→100
Concept to launch, and platforms scaled to global enterprise adoption
GenAI & agentic AI
Developer platforms, automation and Salesforce-native agents
Life sciences
AI for pharmacovigilance and adverse-event processing

Applied AI Lab

Where I build, test and write up what I learn

Hands-on AI work alongside the product leadership. Every project carries an honest status, and planned work is labelled as planned.

Visit the lab

Point of view

What I believe about building AI products, and where I wrote it down

All writing
  1. Agents fail without the right foundation, not for lack of a better model.

    The Agentic Enterprise: Why Your AI Agents Will Fail Without the Right Foundation
  2. The real product lesson in agent building is workflow control.

    I Built an AI News Agent with IBM Bob. The Real PM Lesson Was Workflow Control.
  3. When an expert overrides the AI, the system should learn from it.

    When an Expert Overrides AI, What Should the System Learn?

About

Twenty-four years of shipping B2B products, now focused on applied AI

I am a product leader with 24 years in B2B SaaS, building both 0-to-1 products, taking them from concept to market launch and early enterprise wins, and 1-to-100 products, scaling platforms to global enterprise adoption.

I also coach a small number of product professionals on AI product strategy, execution and career growth. Book a session on Topmate (opens in a new tab)

Experience & leadership

Contact

Let’s talk about product leadership and applied AI.

Open to global opportunities and selected advisory conversations in AI product strategy and execution. Email is the best way to reach me.

haritshukla@gmail.com