Madhur Khandelwal

AI Transformation Lead • GenAI & Agentic AI • Governance & Value Realization

AI TransformationGenAIAgentic AIAutomationGovernanceValue Realization

Scaling AI from pilot to enterprise adoption—strategy, governance, and measurable value.

I lead enterprise AI transformation programs that convert ambiguous AI ambition into structured execution. My focus areas include GenAI and agentic AI, intelligent automation, use-case portfolio design, responsible AI governance (HITL, RBAC, auditability), and change management—so solutions ship, get adopted, and sustain value.

Tooling: Jira • Confluence • SmartsheetPlatforms: RPA • Process Mining • OCR • GenAI • Agentic AIDelivery: Governance • Adoption • Value realization

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Strategy → Execution

Use-cases • roadmaps • business cases

Governed deployment

HITL • RBAC • audit trails

Outcomes

Productivity • accuracy • cycle-time • $ value

How I scale AI

AI Transformation Playbook

A practical, repeatable approach to move from ideas to production AI with adoption and value realization.

Discover & diagnose

Assess processes, data, risk constraints, and “what good looks like” using structured diagnostics and benchmarking.

Design the portfolio

Define a prioritized use-case portfolio with ROI logic, feasibility, operating mechanisms, and clear ownership.

Build & integrate

Deliver solutions across RPA, process mining, OCR, analytics, GenAI/agentic AI with scalable patterns and integrations.

Govern responsibly

Implement controls: HITL checkpoints, RBAC, auditability, monitoring, and compliance guardrails.

Drive adoption

Enable teams through SOPs, change management, training, and measurable adoption metrics.

Realize & sustain value

Track outcomes (cost, cycle time, accuracy), run continuous improvement, and report value with executive visibility.

Recognition

Top 3 Global Leader — Genpact Agentic AI Program

Recognized among the Top 3 globally for designing enterprise-ready multi-agent solutions with practical business applicability and strong ROI focus.

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Selected work

AI Solutions & Accelerators

A curated set of enterprise AI initiatives—productized tools, governed GenAI patterns, and scalable operating mechanisms.

TMAT — Transformation Maturity Assessment Tool (SaaS)

Enterprise benchmarking + maturity indices + actionable roadmap

Enterprise AIBenchmarkingGovernance

Productized assessment platform used to diagnose maturity, benchmark performance, and translate findings into an execution-ready roadmap. Designed for scale across towers and accounts with standardized metrics, governance, and stakeholder-ready outputs.

See overview View repo

Enterprise AIBenchmarkingGovernanceRoadmappingSaaS

Agentic AI — Collaborative Multi‑Agent Solutions

Practical multi-agent design with controls, auditability, and HITL

Agentic AIHITLResponsible AI

Designed enterprise-ready agentic solutions focused on measurable ROI, safe deployment, and role-based controls. Emphasis on human-in-the-loop checkpoints, audit trails, and operating mechanisms to move from pilot to production adoption.

Read my approach View repo

Agentic AIHITLResponsible AIControlsAutomation

GenAI Contract Risk Analyzer — Portfolio Demo

Explainable risk scoring + evidence mapping + audit log + export

GenAIExplainabilityAuditability

Enterprise-style GenAI demo showcasing explainability, evidence mapping, and auditability. Built to mirror production constraints (governance, schemas, testing) and illustrate how GenAI can safely augment decision workflows.

Watch demo View repo

GenAIExplainabilityAuditabilitySchemasTesting

AI Transformation Governance — Operating Model

Use‑case portfolio + value tracking + adoption + controls

PortfolioValue realizationAdoption

A repeatable governance system to move beyond isolated pilots: intake → prioritization → execution → adoption → value realization. Includes guardrails for risk, compliance, and change management, with executive visibility.

See overview View repo

PortfolioValue realizationAdoptionControlsChange

Thought leadership

Writing

Perspectives on scaling AI, governance, and building production-ready GenAI/agentic solutions.

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What Actually Makes Complex Product Launches Succeed: A Technical Program Management Perspective

A practical execution lens on dependencies, decision ownership, launch gates, executive visibility, and post-launch outcomes—useful patterns for scaling AI delivery too.

ExecutionGovernanceOperating model

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Scaling AI from pilots to production

How to move beyond isolated demos: portfolio design, governance, adoption, and value realization.

AI transformationAdoptionValue

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Background

About

Enterprise AI transformation, delivery leadership, and governance.

AI transformation leader with 13+ years of experience driving enterprise adoption of AI, GenAI, and intelligent automation across global organizations. I lead cross-functional teams across engineering, architecture, analytics, PMO, and business functions to translate strategy into AI roadmaps, governed deployment, adoption, and measurable business outcomes.

Enterprise AIGenAI & Agentic AIAutomationGovernanceValue realization

Let’s connect

Contact

For AI transformation leadership roles, collaborations, or solution walkthroughs.

Email me Message on LinkedIn