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🔭 Exploring Responsible and Agentic AI
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🔭 Exploring Responsible and Agentic AI

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@aiexponent

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apundhir/README.md

AskAjay.ai. I help leaders make AI real.

Ajay Pundhir

Founder, AI Exponent LLC · AI Strategist · Executive Coach · Speaker

I help leaders make AI real.

I spent fifteen years building AI inside large companies: Nokia, Samsung, American Express and Presight (G42). Today I run AI Exponent LLC. Through AskAjay.ai I advise boards and leadership teams on AI strategy and governance, coach executives, and write about what holds up in production. Through AiExponent.com we build open-source tools that turn EU AI Act duties into evidence a team can check.

Credentials: Forbes Technology Council · IEEE Senior Member · HBR Advisory Council · MIT Technology Review Committee · Stanford LISA mentor · One League Global Mentorship Board

AskAjay.ai The Brief LinkedIn X YouTube


What I'm working on

  • Measuring AI agents the way you measure a new hire
  • Governance that can actually stop a model, not just a policy on paper
  • What boards should ask before they fund an AI programme
15+ 12+ 20+ 2,500+
years in AI organisations advised keynotes and talks readers of The Brief

Latest writing

More at askajay.ai/thinking. Every other Tuesday I send The Brief: one argument, one correction of the week's coverage, one move for Monday.

Published elsewhere

My Forbes Technology Council profile has the full list of columns.


Frameworks

Minimum Viable AI Governance (MVG) · The Trust Premium · The PRIME Framework · The Liability Ledger · Agentic AI Readiness (A7)

Free to use, with worksheets, at askajay.ai/tools.


Open source

Project What it does
LitmusAI Offline CLI that screens an AI system description against the EU AI Act Article 5 prohibited practices
RiskForge Builds an audit-trailed EU AI Act Article 9 risk management file from the command line
RAG Benchmarking Framework-agnostic evaluation harness for RAG and agentic AI systems
License Compliance Checker License and AI model scanner for software dependencies, with SBOM output
Agentic Document Analyser Turns documents into structured JSON for compliance evidence, using vision-language models
Advanced RAG Knowledge Engine RAG and knowledge routing engine with evaluation, guardrails and observability
30 Days with Agents Free course that takes you from agent basics to advanced patterns in 30 days

The first five are built and maintained by AiExponent, the product arm of AI Exponent LLC.


Work with me

The quickest way to reach me is askajay.ai/connect.

Pinned Loading

  1. aiexponent/rag-benchmarking aiexponent/rag-benchmarking Public

    RAG Benchmarking — Framework-agnostic RAG/agentic-AI evaluation harness. Faithfulness, agentic metrics, EU AI Act Article 15 accuracy evidence. Apache 2.0.

    Python

  2. advanced_rag_knowledge_engine advanced_rag_knowledge_engine Public

    Production-grade RAG and knowledge routing engine with evaluation, guardrails, and observability.

    Python

  3. aiexponent/license-compliance-checker aiexponent/license-compliance-checker Public

    Multi-ecosystem license + AI model scanner for EU AI Act Article 53 GPAI compliance. CycloneDX/SPDX SBOM, training-data risk. Apache 2.0.

    Python 1

  4. aiexponent/agentic-document-analyser aiexponent/agentic-document-analyser Public

    Multi-agent document analysis pipeline for AI risk management under EU AI Act Article 9

    Python

  5. 30_days_with_agents 30_days_with_agents Public

    This open course is a guide to learn agents from Basics to Advanced in 30 days.

    Python 1

  6. shivam-MBZUAI/cross-cultural-mel-bias shivam-MBZUAI/cross-cultural-mel-bias Public

    Python 3