AI Product Lead · Düsseldorf · Germany

Nitish
Aggarwal.: AI Product Lead for enterprise AI and digital transformation

✦Ask the AI concierge

✦

EXPERIENCE

10+

Years of experience

FOUNDER

Companies co-founded

DELIVERED

15+

Digital products delivered

EXPERIENCE

10+

Years of experience

FOUNDER

Companies co-founded

DELIVERED

15+

Digital products delivered

// the map

A 60-second walkthrough of this site

Six stops, start to finish. Tap any dot to jump straight to that part of the site.

01Ask AIStart here 02About meAbout 03PlaybookMethod 04WorkPortfolio 05NotesNotes 06Say hiReach out

Start here01Ask AIAsk my concierge anything
About02About meData scientist turned AI product lead
Method03PlaybookMy recipe for a good Tech PM
Portfolio04Work & ProjectsWhat I have built and shipped
Notes05Notes & WritingsField notes and essays
Reach out06Say hiBook a call or say hi

01 · About me

Who I am.

The model is never the hard part. Making an organisation trust it is.

Proven impact

saved through data-driven procurement: €500K+saved through data-driven procurement
pricelist cycle, 3+ months to under one: 3× fasterpricelist cycle, 3+ months to under one
of IT tickets deflected in year one: 40%of IT tickets deflected in year one
revenue grown as a founder: $70K → $400Krevenue grown as a founder

In brief

A data scientist who became an AI product leader, I turn ambiguous business problems into AI products teams adopt and trust.
At Riedel Communications I own products from discovery to launch, across product, engineering, and the business, including a company-wide GenAI helpdesk in daily use.
Beyond AI, I lead broader digitisation work, automating a three-month pricing cycle, connecting siloed systems, and building data foundation for business decisions.
Shipping in a German enterprise means privacy, compliance, and consensus are part of the product, so I design them in from day one.
Before tech, I co-founded two startups, I know first-hand what it takes to build, lead, and own the bottom line.

Top skills

Technical

GenAI: LLMs, RAG & multi-agent
Python & SQL
Cloud AI: AWS Bedrock & Azure AI

Leadership

AI product strategy & roadmapping
Cross-functional leadership
AI governance: EU AI Act & GDPR

See all skills & tools

Education

M.Sc. Data Analytics · RWTH Aachen University
B.Tech. Electronics · ITM University

My journey

A non-linear path, from founder to AI product leader. Select any role for the full story.

Let's get in touch

02 · Playbook

The recipe for a Tech PM.

How I think and operate, with proof links on demand.

Recipe № 01 · Serves everyone

A recipe by Nitish · from the Düsseldorf kitchen

A Technical
Product Manager.

Prep · years on both sidesServes · business, engineers, usersLevel · senior heat

Ingredients

8 · non-negotiable

01
Business fluency
I look for where the real value lies, and back my decisions with research and feasibility tests.
02
Technical depth
I shape the architecture with the team, weighing constraints, value, and ROI.
03
Discovery discipline
I orchestrate discovery with the team, so every decision traces back to a real user story.
04
Saying no, with a reason
Not everything can be built. I choose what moves the product forward, and explain why the rest waits.
05
Two languages
I speak boardroom and engineering, without leaning too far into either.
06
Staying past go-live
Delivery isn't where my job ends. Adoption is the number I watch.
07
Trust as part of the product
Security, privacy, governance, explainability. A product without them works, but isn't trusted.
08
Judgment on trade-offs
Speed vs quality, scope vs deadline. Making those calls came with time, experience, and the people around me.

Method

6 steps · in order

01
I learn the business before touching the product.
Real ROI starts with understanding the business: interviewing stakeholders, and knowing the value a product should bring before it's built. Every decision after that inherits its quality from this step. The BI foundation below was built exactly on that groundwork.
See it in action: Product Analytics and BI Foundation
02
I earn technical credibility, I don't borrow it.
Technical, for me, means making architecture trade-offs, questioning estimates, and knowing what a design choice costs in money, risk and maintenance. That trust is what every roadmap runs on. The helpdesk's multi-agent architecture is where I put it to work.
See it in action: Multi-Agent IT Helpdesk
03
I drive strategic decisions with the team, not for it.
Ten stakeholders will always have ten wishes. Together with the team, I dig into the research and build a working prototype, and from there I make the call on what's worth building next, aligned with everyone behind it. The IT helpdesk started exactly that way.
See it in action: Multi-Agent IT Helpdesk
04
I sit between functions, not beside them.
Most of my value lives in translation: business intent into technical constraints, and technical reality back into business language. It's how I keep both sides moving in the same direction. Seven departments on one pricelist cycle came from exactly that.
See it in action: Pricelist Transformation
05
I build trust into the product itself.
Users only rely on a product they trust. So how a system handles data, what it may decide, and when it must escalate are product decisions I make early, not fixes I add later. The knowledge assistant was designed around this from day one.
See it in action: Internal Knowledge Assistant
06
I measure adoption and act on it.
Shipping a product is not the goal, people using it is. I track adoption with the team, share the numbers openly, and change course when they tell us to. The helpdesk's deflection rate is the number we live by.
See it in action: Multi-Agent IT Helpdesk

NextLearn more about me

03 · Top projects

Two that mattered most.

The two projects with the biggest impact, in numbers and in adoption.

AWS BEDROCK · MULTI-AGENT · RAG

Multi-Agent IT Helpdesk

A production multi-agent system on AWS Bedrock serving 1,500 employees. Deflects ~40% of the L1 queue and answers in seconds instead of hours.

~40% of L1 tickets deflected in year one.
Average resolution time from 1 week to 2 days.

Read the full project

PROCESS DIGITISATION · SAP

Pricelist Transformation

Rebuilt how a global company creates its pricelists: from a 3-month Excel marathon across seven silos to a transparent digital cycle that ships in under a month.

3+ month cycle → under a month. ~92% reduction in effort.
Seven departments working off one transparent cycle, not seven silos.

Read the full project

See all projects

04 · Skills and tools

Skills and tools.

The tools and skills I bring as a Tech PM.

Product and delivery

Product strategy
Roadmapping
Discovery
PRDs
Prioritisation
Agile / Scrum
Product vision
User research
User stories
Backlog management
Go-to-market
KPIs and success metrics
A/B testing
Zero to one delivery
Stakeholder management
Change management
Jira
Confluence

AI and GenAI

LLMs
RAG
Multi-agent systems
AWS Bedrock
Azure AI Foundry
Copilot Studio
Generative AI
Prompt engineering
NLP
AI product strategy
Model evaluation
Microsoft 365

Data, cloud and technical

SQL
Python
Power BI
SAP
AWS
Azure
Data analysis
Business intelligence
Data modelling
Data quality
APIs
System integration
Solution architecture

Governance and leadership

EU AI Act
GDPR
AI governance
Responsible AI
Data privacy
Data governance
Security
P&L ownership
Unit economics
Business cases
Process design
Operations management
Team leadership
Strategic thinking

05 · Notes and writings

Lessons and long reads.

The short version of what I have learned and what I write about.

Pinned · Top 4 learnings

from 10 years building

01
Where money goes matters as much as what gets built.
Budgets are strategy documents: what a company funds is what it actually believes. I learned that at 23, the expensive way, and never needed the lesson twice.
02
Consistency is a system, not a promise.
Four outlets, 250+ SKUs, one expectation: every visit tastes like the last. Quality that depends on any single person being present is not quality, it's luck.
03
You don't digitise files. You digitise agreements.
Three months of pricelist Excel wasn't a spreadsheet problem; it was seven departments without one process. The alignment was the product. The tool just enforced it.
04
Data, then process, then intelligence. In that order.
Companies that start with the AI ship demos. Trusted data and digitised processes are what turn a model into a product people rely on.

Latest on Medium

All articles ↗

Product

The PRD is a decision, not a document.

Read on Medium ↗

GenAI

RAG is 10% model, 90% source of truth.

Read on Medium ↗

Lessons

What running a creamery taught me about shipping software.

Read on Medium ↗

See full Notes and Writings

06 · Fun zone

Time to play.

Nitish's playground · press any button

coin-free · always on

now dispensing·

Pick a button →
see what falls out.

scoops · 0/3

07 · Contact

Let's build something worth shipping.

A project, a bet, or just a conversation, drop a note.

aggnitish12@gmail.com

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Nitish
Aggarwal.: AI Product Lead for enterprise AI and digital transformation

A 60-second walkthrough of this site

Who I am.

Proven impact

In brief

Top skills

Education

My journey

Riedel Communications GmbH

Boehringer Ingelheim & E.ON SE

The Funnel Hill Creamery

Cognizant Technology Solutions

TrendTalk India

The recipe for a Tech PM.

A Technical
Product Manager.

Method

I learn the business before touching the product.

I earn technical credibility, I don't borrow it.

I drive strategic decisions with the team, not for it.

I sit between functions, not beside them.

I build trust into the product itself.

I measure adoption and act on it.

Two that mattered most.

Multi-Agent IT Helpdesk

Pricelist Transformation

Skills and tools.

Product and delivery

AI and GenAI

Data, cloud and technical

Governance and leadership

Lessons and long reads.

Where money goes matters as much as what gets built.

Consistency is a system, not a promise.

You don't digitise files. You digitise agreements.

Data, then process, then intelligence. In that order.

The PRD is a decision, not a document.

RAG is 10% model, 90% source of truth.

What running a creamery taught me about shipping software.

Time to play.

Let's build something worth shipping.

NitishAggarwal.: AI Product Lead for enterprise AI and digital transformation

A 60-second walkthrough of this site

Proven impact

In brief

Top skills

Education

My journey

Riedel Communications GmbH

Boehringer Ingelheim & E.ON SE

The Funnel Hill Creamery

Cognizant Technology Solutions

TrendTalk India

Method

I learn the business before touching the product.

I earn technical credibility, I don't borrow it.

I drive strategic decisions with the team, not for it.

I sit between functions, not beside them.

I build trust into the product itself.

I measure adoption and act on it.

Multi-Agent IT Helpdesk

Pricelist Transformation

Where money goes matters as much as what gets built.

Consistency is a system, not a promise.

You don't digitise files. You digitise agreements.

Data, then process, then intelligence. In that order.

The PRD is a decision, not a document.

RAG is 10% model, 90% source of truth.

What running a creamery taught me about shipping software.

Let's build something worth shipping.

Nitish
Aggarwal.: AI Product Lead for enterprise AI and digital transformation