Andreas Schwarzkopf

Data Engineering Consultant (Retail AI Division)

AI Expert - The AI Navigator 🧭 Top AI Voice | Mercedes-Benz Alum | Sharing AI Insights for Leaders

With over 12 years of hands-on AI integration experience across various industries, I guide companies through AI-native transformations.

My background:

- LinkedIn Top Voice, recognized for practical AI insights
- Consulted for Mercedes-Benz to enhance manufacturing quality using AI
- Advised on AI across various industries, including retail, telecom, education, and more
- Founded a data and AI startup, leading it to a successful exit.

What you can expect from my AI-native newsletter:

- Insights on AI-native strategies for a competitive edge and sustainable growth
- Tactics for efficient and customer-focused AI-native operations
- Guidance on creating a data-driven, innovative, and responsible AI-native culture.

Follow me and subscribe to my newsletter for practical advice on building an AI-native business.

Looking forward to connecting!

CEO / Founder, AI Strategist

Helping businesses understand and harness the potential of AI.

I have 10+ years of professional experience solving business problems by building products and features that users love and customers are happy to pay for.

I enjoy:
- Identifying real user and business problems
- Analyzing them using data
- Solving them through intuitive, scalable tech products

I also love learning new technologies, sharing my learnings, and helping the Product Management community and aspiring Product Managers in whatever way I can.

🏆 Key Achievements

1. Built a 0 → 1 product for tracking and managing telecom 4G implementation.
2. Led Medicaid Management Information System (MMIS) rollout for the State of Nevada.
3. Introduced reconciliation for Healthcare Data Exchange processes to ensure 0% loss of data.
4. Led product development 0 → n for key regulatory requirements:
4.1. Advanced Explanation of Benefits (AEOB)
4.2. Machine-Readable Files
5. Improved the onboarding process for new customers on a SaaS product by 50% by automating the implementation process.
6. Improved system performance by up to 10x by uncovering data processing redundancy using artificial intelligence.
Data size handled: 25 million records with 20 variables

🛠 Skills

Product & Process:
User Interviews | Product Management | Stakeholder Management | Roadmap Management | Requirement Analysis | Product Commercialization | Process Improvements | User Training

Documentation & Design:
Business Process Modelling | Process Flow Diagrams | Use Case Diagrams | User Guides / User Manuals

Ways of Working:
Scrum | Agile | Waterfall

Data Analysis:
Excel (including Power Pivot)
Python

🏢 Domains
1. Telecom
2. US Healthcare Insurance – Payer, Provider
2.1 Core Administrative Portal
2.2. Healthcare Data Exchange (EDI)
2.3 Medicaid Management Information Systems
2.4 Compliance & Regulatory Requirements
2.5 Customer Communication
2.6 Chatbots
2.7 Communication Partner Integration (Email, SMS) 
2.8 Telex

My ability to communicate effectively with both technical and business stakeholders at all levels of management has helped me build strong relationships and consistently achieve project goals.

Currently, I am implementing AI solutions for improving call center outcomes.

📩 Contact
If you’d like to discuss how I can contribute to your organization, please DM me.

Arpit Jain

Have you noticed Deepinder Goyal wearing a device in Raj Shamani 's podcast Figuring Out?
About the Device: "Temple"
Temple is a lightweight, daily-wearable sensor being developed under ventures led by Deepinder Goyal, including Eternal and Continue Research.

WHAT IT MEASURES

→ Real-time cerebral blood flow
→ Continuously, not in short snapshots
→ Non-invasively, worn on the side of your head

WHY THIS MATTERS

Brain circulation is emerging as a key biomarker linked to:
→ Cognitive performance
→ Neurological health
→ Ageing and longevity

THE FORM FACTOR

→ Small, sleek sensor
→ Worn near the temple
→ Comes in silver or gold
→ Designed for daily use, not lab setups

CURRENT STATUS

→ Experimental device
→ Personally tested by Deepinder for over a year
→ Part of a broader bet on longevity and brain health

BIG IDEA BEHIND IT

We’ve spent a decade quantifying steps, sleep, and heartbeats.
The next frontier might be how well your brain is actually being fuelled.

Feels less like a gadget.
More like a signal of where health tech is heading.

Would you wear something that shows your brain’s real-time performance?

Arpit P. Jain

Product Manager | Driving AI Innovation in Healthcare GovTech | Building AI Agents | Sharing PM & AI Learnings with 11k+ PMs

I underestimated AI prototyping for a long time.
Not because I didn’t believe in speed.
But because I already had a faster way.

Back in my early PM days creating a wireframe felt too time consuming to me. I never bothered to create wireframes.

If I had an idea, I would open the browser, 
hit Inspect, 
tweaked the HTML and CSS directly, 
and showed a working version.

It felt closer to reality.
It led to better conversations.

Wireframes always felt like translation overhead.

Even when the world moved to low fidelity prototypes and tools like Figma, editing the HTML worked for me most of the time.

What changed recently is not the idea of prototyping.
It’s who can do it and how fast clarity shows up.

I’ve been exploring and using Lovable, v0 by Vercel, Replit to prototype product ideas, not for polish, but for alignment.

Instead of explaining:
“I think this flow should work like this…”

I can now show:
“This is roughly how it behaves. Let’s react to this.”

That single shift has improved discussions across the board.

👉 Peer PMs give sharper feedback because there’s less interpretation
👉 Engineers focus on feasibility instead of guessing intent
👉 Edge cases surface early because people can actually interact with something
👉 Disagreements move from opinion to specifics

AI prototyping doesn’t replace product thinking.
It exposes it.

If your idea is weak, a prototype will reveal it faster.
If your idea is strong, it gets buy-in sooner.

For me, it feels like coming full circle.

I started by editing live HTML to move faster than slides.
AI just made that advantage accessible without needing to be an engineer.

The biggest benefit isn’t speed.

It’s clarity.

Which tool are you using and why? 
I personally like Lovable but the credits.....

Product manager using AI prototyping tools

taplio

The Battle

Andreas Schwarzkopf

Arpit Jain

Followers

Posts

Engagements

Likes

Performance ScoreArpit Jain's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Andreas Schwarzkopf

Arpit Jain

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Arpit Jain's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreArpit Jain's LinkedIn Performance