Mohit Bhatnagar

Gurgaon · Delhi NCR / Remote worldwide

Mohit
Bhatnagar — AI Operations & Transformation Consultant

Based in Gurgaon, Delhi NCR, and focused on enterprise agentic AI, autonomous operations, LLM systems and workflow automation.

I don't advise on AI. I ship it — then I prove it moved the number.

Sixteen years in operations. I architected and shipped a GenAI product end to end while running a 500+ person organisation across Europe, Asia and the US. Lean Six Sigma Black Belt. The discovery discipline to measure how work actually runs, and the hands to build the agents that replace it.

Mohit Bhatnagar, seated, in a dark green suit and tan tie.
500+Org scaled
300%+Productivity
76% → 99%+Quality lift
MB

Ask Mohit AI

Business questions only · live

Ask me anything about Mohit's services, track record, or how an engagement works. For anything else, email mohit@mohitbhatnagar.com or use the contact section below.

01 / What the work produced

Measured deltas. Not estimates.

Every initiative carried a baseline, instrumentation and a validated outcome before it was allowed to count. These are the numbers that survived that test.

500+

Person org scaled from zero — engineering, product, design, sales, ops across three continents

300%+

Productivity gain from AI-led process automation, baselined and tracked over time

76%→99%+

Delivery quality — lifted alongside throughput, against the normal trade-off

16yrs

Operations, process excellence and transformation — banking, ITES, payroll, real estate, AI SaaS

~$10M

Raised as co-founder at Mercans Finansal Limited — operating narrative and investor diligence

02 / The centrepiece

Watch an operation rewire itself.

This is the shape of the work. A delivery workflow held together by people chasing people, redrawn as an instrumented pipeline where humans handle judgment and exceptions — nothing else. Scroll to run it.

Before — manual, uninstrumentedStage 0% rewired
Workflow transformation diagramA tangled ten-step manual delivery workflow reorganising into a three-lane agentic pipeline with automatic classification, retrieval, a Claude reasoning step, an evaluation gate, and human review reserved for exceptions.IntakeIntakeTriageAuto-classifySpec huntContext retrievalEmail chasePolicy checkDraftClaude reasoningReworkGenerationQA pass 1Eval gateQA pass 2Exception queueEscalationHuman reviewDeliveryDelivery
Delivery quality76%
Productivity index100baseline = 100
Human touchpoints7per request
Instrumented steps0of 10

Diagram is illustrative of a delivery workflow. Quality (76% → 99%+) and the 300%+ productivity gain are measured outcomes at Prezent AI, not projections.

03 / Engagements

Six ways in. One operator throughout.

No agency layer, no junior handoff, no slide deck as the deliverable. You work with the person who measures the process and then builds the thing that replaces it.

For teams who suspect AI should help somewhere but can't say where — or who have already bought tools that nobody uses.

  • Current-state map with real cycle-time, effort and quality baselines — measured, not workshopped
  • Opportunity register scored on ROI, feasibility, reuse and risk
  • A sequenced build roadmap, with the steps that should be deleted rather than automated marked as such
  • Stage-gate intake design so the next twenty ideas get triaged without you

Pricing on requestView details →

For operations, delivery and customer success teams carrying repetitive coordination work that quietly eats a third of the week.

  • Working agents and automations wired into live workflows — n8n, Zapier, Asana AI Studio, Claude
  • Evaluation harness and monitoring, so quality is observable after I leave
  • A runbook and champion handover — your team operates it without me
  • Before/after measurement against the baseline we set on day one

Pricing on requestView details →

For founders with a real product idea who want it architected and shipped, not prototyped and abandoned. Zero to one.

  • Two-stage pipeline design — the architecture I built and shipped independently at Prezent AI
  • Model selection and evaluation approach, with the trade-offs written down
  • Claude-based reasoning layers and agentic workflow architecture
  • Deployment, documentation and an optional support retainer

Pricing on requestView details →

For Series A/B founders who are still the operating system — every decision, escalation and process routing through them.

  • OKR and KPI frameworks with real-time dashboards (Power BI, Salesforce) as single source of truth
  • SOP, playbook and reuse libraries across delivery, HR, legal, vendor and finance
  • Governance cadence — weekly triage, biweekly leader reviews, monthly executive readouts
  • Founder-independent infrastructure: the org runs when you're not in the room

Pricing on requestView details →

For founders and teams who know they should be posting but can't sustain a consistent, on-brand cadence — and can't justify an agency retainer either.

  • A positioning and content system built from your product, audience and voice — not generic calendar filler
  • AI-assisted production pipeline for posts, carousels and short-form video, wired to a weekly publishing cadence
  • Distribution and engagement playbooks across LinkedIn, X, Instagram and YouTube
  • Monthly performance review against reach, engagement and pipeline — adjusted, not just reported

Pricing on requestView details →

For launches, funding announcements and seasonal pushes that need a full creative pack — fast, without booking a studio or briefing five vendors.

  • Concept and creative direction locked in one working session — hooks, narrative and visual language defined up front
  • AI-generated campaign assets: video (Sora, Runway, Synthesia, HeyGen, Opus Clip) and imagery (Midjourney, AI Studio)
  • Voiceover, scripting and polish with ElevenLabs and Descript where the piece needs a human voice
  • Cut-downs and adaptations sized for every channel, plus a usage library your team can re-run without me

Pricing on requestView details →

04 / How the work is governed

A stage gate, not a pilot graveyard.

Most AI programmes die between the demo and the daily habit. Every initiative I run moves through four gates, partnered with IT and Security, and has to earn the next one.

01

Discovery

Sit with the team. Measure how the work actually runs today — not how the SOP says it runs. Establish the baseline, find where quality breaks and effort piles up. Nothing gets built against a number nobody wrote down.

02

Pilot

One workflow, one team, instrumented from the first day. Scoped so failure is cheap and legible. The gate to the next stage is a measured delta against the baseline, not enthusiasm in a demo.

03

Scale

Institutionalise it — playbook, runbook, champion network, leader scorecard. Adoption is driven across functions I don't control through transparent performance views, not mandates. Pilots become habits here or they don't count.

04

Retire

The gate almost nobody builds. Automations rot, models drift, processes get superseded. Things that stopped paying for themselves come out, so the estate stays small enough to actually govern.

The most valuable judgment in this work is knowing when not to build.

A deleted step beats an agent that automates a step that shouldn't exist. Reusable SOPs and frameworks exist specifically to stop duplicate builds. That discipline is what keeps an automation programme honest — and it is the part a tool vendor will never sell you.

05 / Where this came from

Sixteen years of operations under real load.

Dec 2021 — PresentCurrent

Director, Operations Excellence

Prezent AI · Series B AI SaaS · Gurgaon / Remote

  • Among the first operations functions in India to operationalise Generative AI and agentic workflows at scale — AI-led automation across delivery, customer success coordination and internal operations.
  • Delivered 300%+ productivity improvement while lifting delivery quality from 76% to 99%+ — both baselined, instrumented and validated over time.
  • Independently architected and shipped a full GenAI product: two-stage pipeline, model selection and evaluation, Claude-based reasoning layers, agentic workflow architecture.
  • Scaled the organisation 0 → 500+ members across Europe, Asia and the US; led change management through a company merger and restructuring.
  • Built the governance operating system — OKR/KPI frameworks, Power BI and Salesforce dashboards, leadership review cadence, stage-gated initiative pipeline.
Feb — Nov 2021

Senior Manager, Operations & General Administration

MQDC India · Premium real estate · Gurgaon

  • Stood up people operations, administration systems and financial governance from scratch.
  • Implemented budgeting, cost optimisation and spend controls; built KPI and MIS reporting for real-time leadership visibility.
Nov 2019 — Feb 2021

Co-Founder & Operations Lead

Mercans Finansal Limited · Payroll & finance services · Istanbul, Turkey · MENA & Europe

  • Co-founded the company in Turkey and owned the P&L and clients.
  • Built operational, financial and governance infrastructure from zero across MENA and European markets.
  • Contributed to fundraising — ~$10M USD raised — partnering with founders and investors on operating narrative and diligence.
  • Launched a financial-process service line end to end: market assessment, business case, onboarding, SLA design, quality assurance, delivery.
Aug 2016 — Nov 2019

Team Lead, Operations Delivery

Virtusa · Google India Operations · Gurugram

  • Led performance management and SLA compliance for a distributed team in a high-velocity ITES environment.
  • Introduced scorecard-driven accountability — the process discipline that became the template for later Lean Six Sigma work.
2009 — 2016

Senior Business Analyst & Research

Aura Banking · Clones Media · Global HRD Centre · India

  • Financial and business-process analysis, governance reporting and operational support across banking, media and research.
Read the case studies →

06 / The toolkit and the paperwork

Certified in the method. Fluent in the stack.

Education & Certification

  • Lean Six Sigma Black Belt (PGP)University of Massachusetts Amherst · 2021
  • Generative AI & Agentic AI IntegrationCertification
  • MBA, Business Analytics & FinanceDIT University · 2015
  • BBA, Corporate SecretaryshipAlagappa University · 2012
  • PMP Training · Google Analytics · Google AdsSupplementary

AI & Build Stack

ChatGPTClaudeGeminiPerplexityCodexCursorn8nZapierAsana AI StudioReplitBoltLovableBubbleEmergent

AI Media & Content

SoraVeoKlingRunwayPikaLumaMidjourneySynthesiaHeyGenElevenLabsDescriptOpus ClipGamma

MCP & Agent Systems

MCP serversClaude MCPZapier MCPn8n MCPCustom agent toolingTool-use orchestration

Patterns

Agentic workflowsRAG assistantsModel selection & evalEvals & monitoringTwo-stage pipelines

Operating Stack

Power BISalesforceAsanaClickUpJiraNotionConfluenceSlackSQLAdvanced Excel

Process Excellence

DMAICRCACAPAKaizenBPRStage-gate

AI platforms I work with

ChatGPTChatGPT
ClaudeClaude
GeminiGemini
PerplexityPerplexity
CodexCodex
CursorCursor
n8nn8n
ZapierZapier
ReplitReplit
LovableLovable
BoltBolt
BubbleBubble
EmergentEmergent
SoraSora
RunwayRunway
MidjourneyMidjourney
SynthesiaSynthesia
HeyGenHeyGen
ElevenLabsElevenLabs
DescriptDescript
Opus ClipOpus Clip
GammaGamma
VeoVeo
KlingKling
AsanaAsana
PikaPika
LumaLuma
Power BIPower BI
SalesforceSalesforce
ClickUpClickUp
JiraJira
NotionNotion
SlackSlack

07 / Start here

Tell me what's broken.

ResponseWithin 24 hours, with scope and a timeline
Also open to senior mandates

Alongside client work, I'll consider the right full-time operating role — Head of Operations, COO track, Chief of Staff, or VP/Director of Operations & AI Transformation. Delhi NCR or remote.

For a confirmed reply, email mohit@mohitbhatnagar.com directly. Within 24 hours, with scope and a timeline.