Namit Agrawal · Noida, India

I help enterprises turn Agentic AI from experiments into operating systems.

Twenty years into a career spent building delivery organisations, my current obsession is the Agentic Development Life Cycle — how large enterprises move from scattered AI pilots to a durable AI operating model. This is a small corner of the internet where I share what I'm working on and how I think about it.

What I'm working on

Four programs
in flight.

A snapshot of the Agentic AI work currently on my desk — spanning marketing intelligence, HR, manufacturing and enterprise platform engineering.

  • Multi-tier Agent Architecture

    Marketing Intelligence Platform

    Super Agents orchestrating intent, specialist agents across optimisation, audience, creatives, value-at-stake and measurement, sub-agents driving anomaly detection, pacing, scoring and attribution over a persistent memory layer.

    80%reduction in time-to-insights — days to near real-time
  • Multi-agent HR Platform

    HR Transformation — Global Pharma Major

    Multi-agent AI system on Microsoft Copilot Studio automating HR across five modules — Talent Acquisition, Onboarding, Self-Service, Performance and Talent & Learning — delivered in phases.

    5HR modules phased into production
  • 8-Agent Program · Large Aluminium Manufacturer

    Manufacturing Intelligence

    Eight specialist agents surfacing shop-floor insights to Operators, Process Excellence, Maintenance and Leadership — orchestration and cohort-specific delivery.

    4user cohorts served by a unified agent mesh
  • Initiated Jun 2026

    Enterprise Agentic AI Platform — 'AI Nerve Center'

    Reusable agents and workflows, central orchestration of agents, data and business interactions, marketplace of agents/models/playbooks, and a declarative self-deploying runtime with cross-cloud orchestration, governance and lifecycle observability.

    10×targeted deployment acceleration

Moments I'm proud of

A few things I've helped build along the way.

$1M ARR

Built Managed Services & SRE practice from ground up, now >50% margin.

>80%

Customer-success goal attainment across 50+ accounts for three consecutive years.

+30%

Release velocity uplift — Agile transformation for Mongolia's largest private-sector bank (4 value streams, 200+ team).

How I think

The lenses I bring to the work.

  • Agentic AI Program Delivery
  • Agentic Development Life Cycle
  • Technology Delivery
  • P&L & Gross Margin
  • Strategic Accounts
  • Customer Success & Retention
  • Global Delivery Leadership
  • Business & Digital Transformation
  • Change Management
  • Large-Scale Programs
  • Organisational Development
  • Distributed Team Leadership

Tools of the trade

What I stay hands-on with.

Agentic AI — current focus
ADLC · Multi-agent orchestration · Microsoft Copilot Studio · LangGraph · CrewAI · LLM evaluation & guardrails · Gemini · Claude · Python · Data pipelines · Snowflake
Cloud & Infrastructure
AWS · GCP · Azure · Cloud-native migration · API modernisation & API Gateway · Microservices architecture
CMS & DXP
Drupal (PHP) · WordPress · Adobe Experience Manager (AEM)
Frontend, Backend & Mobile
React · Vue · Node.js · Java · Flutter · Native iOS & Android
B2B SaaS & Professional Services
Enterprise SaaS implementations · SOW-based delivery · Managed Services & SRE

Education

PGDM (MBA)
SP Jain Institute of Management & Research, Mumbai
B.Tech, Mechanical
Indian Institute of Technology (IIT), Varanasi

Elsewhere

Always up for a good conversation.

Whether it's Agentic AI, the shape of modern delivery organisations, or a reference request from a former teammate — my inbox is open.

Noida, India