I help organizations turn AI ambition into real business impact.

After 15+ years across marketing, growth, and business strategy, one thing became clear. AI is not another tool. It is a fundamental shift in how work gets done.

Most leaders see the opportunity.
Most teams feel overwhelmed.
Pilots stall. Tools change. Adoption breaks.
That is the gap I work in.

I am the Co-Founder and Chief Business Officer at Humaine Labs, incubated from DotKonnekt. We focus on AI education, team enablement, and enterprise adoption. Not theory. Not hype. Real workflows. Real outcomes.

What I do in practice: 
• Design AI learning and enablement programs for enterprises
• Train leaders and teams to use AI in day-to-day work
• Help organizations move from GenAI pilots to production-ready usage
• Build AI-native operating models across functions, tech and non-tech

Who this is for: 
• CXOs and transformation leaders
• L&D, HR, marketing, ops, and business teams
• Organizations serious about making AI stick

I have worked with brands, institutions, and teams across India, the Middle East, and Southeast Asia. The goal is simple. Make AI usable, practical, and human at scale.

If you are trying to move AI from curiosity to capability, let’s talk.
📩 prasad@humainelabs.com

Prasad Mane

Last year was foundational. This year is about scale and real impact.

Over the past year, I worked closely with brands, leaders, and professionals across functions. Not to talk about AI. But to embed it into daily work.

One insight became impossible to ignore.
AI implementation is not a tech upgrade. It is a business transformation.

That realization brings me here.
UpYourMarketing.Ai is entering a new phase. We are launching Humaine Labs, incubated from the house of DotKonnekt. I will be stepping in as Co-Founder, focused on scaling enterprise AI learning, enablement, and adoption at scale.

Humaine Labs exists to make AI usable, practical, and human.
-Tech or non-tech.
-Productivity copilots or agentic workflows. 
-Teams of 20 or enterprises of 2,000.

We are investing in building a strong trainer–practitioner ecosystem and expand the footprint across the Middle East and Singapore.

The mission is simple. Make AI adoption real. Sustainable. Enterprise-ready..
👉 Visit the website or DM me to learn more.

Dhiraj Jain Gaurav Motani Chandan Mahajan Anurag Kapoor Nripen Sushant
Runam Mehta Vaibhav Tewari Ganesh Krishnan Jigar Soni Siddharth Vishwanath 


#HumaineLabs #EnterpriseAI #AIAdoption #AIDeployment #FutureOfWork #Leadership

Co-Founder & CBO, Humaine Labs | Building to make 1 million professionals AI ready| Enterprise AI Adoption | Training Teams to Build, Deploy, and Scale AI

Promise to myself at 41


I turn 41.
It finally feels like grown up energy.
Not louder ambition.
Clearer intent.

Here’s the promise.

Say no to what does not add value.
Even when it’s uncomfortable.
Events. Meetings. Relationships. Noise.

Say yes to what I’ve been postponing.
The things that matter but never felt urgent.

Love earnestly.
Without guarding. Without rushing.

Be present.
Not productive. Not distracted.
Just there.

Learn pace.
Slow on some days.
Fast when it truly counts.

Above all.
Promise to be a better me.
A calmer me.
A happier me.

Clarity is underrated.
But once it arrives, you protect it fiercely.

Runam Mehta

AI in wearables feels like a quiet shift.

I’ve been apprehensive about this category for a while but I finally gave in and bought the Meta Ray-Ban.

This feels like a genuinely new form factor, not another screen on the body like watches or rings.

Something more ambient.
More natural.

I’m still experimenting..
A message came in.
The glasses read it out.
I replied, just by speaking.
And it was sent.

No phone in my hand.
No typing.
No breaking what I was doing.

It genuinely made me think about it, look how far we’ve come.
From handwritten letters.
To telegrams.
To phone calls.
To email.
To WhatsApp.
And now… replying to messages without even looking at a screen.

It’s early.
Definitely not for everyone.
And still rough around the edges.

But the potential is undeniable.

I was reading the newspaper when one phrase caught my attention: BARBIE founders.

BARBIE stands for Bachelors Abroad Returned to Build in the Indian Ecosystem.
Founders who studied overseas, absorbed global exposure, and then came back to India to build companies here. 

Who are they, really?

Typically sharp, globally trained, and deeply ambitious. They bring international perspective, strong networks, and a comfort with scale from day one.

What are they building?
Mostly consumer businesses. Brands, marketplaces, fintech, D2C plays. Companies that move fast, focus on distribution, and scale through adoption rather than long enterprise sales cycles.

What’s interesting is what we  see enough few enterprise-first companies. Businesses built around deep capability, long-term contracts, and institutional trust.

As India’s ecosystem matures and AI lowers the cost of building complex products, does this pattern change?

Will the next wave of founders continue to dominate consumer tech?

When AI can write the code, what becomes the real engineering skill?


I read a recent comment from Nvidia’s CEO, he urged engineers to stop obsessing over coding and start focusing on higher-order thinking.

At first, that sounds uncomfortable, coding has always been the core skill.
But when you look at how fast AI now writes, refactors, and explains code, the shift becomes obvious.

The bottleneck is no longer syntax.
It’s judgment...

Knowing what to build.
Understanding why it should exist.
Designing systems that scale, stay secure, and serve real users.

I’ve seen this play out repeatedly in AI training rooms the strongest engineers are not the ones who type the fastest they’re the ones who can frame the problem clearly, evaluate trade-offs, and guide AI instead of competing with it.

AI hasn’t removed engineering.
It has raised the bar.
From writing code
to designing systems.
From execution
to intent.
From doing
to deciding.

That’s where the future of engineering is headed.

#ai #engineering #futureofwork #genai #softwareengineering #systems #leadership #upskilling

Recently, a large conglomerate reached out to plan an AI adoption program across their teams.

Honestly, it felt like luck.

Out of curiosity, I asked how they had shortlisted me. The answer was simple and revealing. 

Their CEO had asked for my name. He had heard about my work from people he trusts. Some had attended my sessions. Some had followed my posts on LinkedIn. Others had seen the outcomes of the cohorts and trainings I’ve been running.

None of this happened overnight.
It came from showing up consistently. Writing, even when engagement was low. Running cohorts. Training teams. Learning every week. Updating my thinking. Staying on the path and trying to truly understand this space, not just talk about it.

When it finally materialises, it does feel like luck.

But most of the time, luck is just hard work that went unnoticed for a long time.
Keep working.

You will get lucky too.

Excited to lead Humaine Labs incubated by DotKonnekt.

While Humaine builds capability through training, learning, and enablement, DotKonnekt focuses on enterprise-grade AI execution.

Together, this is about moving AI from experimentation to real economic value.
Helping enterprises and professionals become truly AI-ready, in how work actually gets done.

Looking forward to building this next chapter.

Today, we are formalizing a direction we have been building toward for some time.

At DotKonnekt, we see consistent reason why AI adoption stalls in enterprises:
    •  Learning, systems, and execution live in silos
    •  Teams attend AI trainings
    •  Pilots get built
    •  Very few outcomes translate into true business impact

To close this gap and strengthen the adoption loop, we are launching Humaine Labs, an AI learning and enablement company incubated from the house of DotKonnekt. Joining us to lead his mission is Prasad Mane, who steps in as Co-founder and Chief Business Officer of Humaine Labs.

Over the past year, Prasad has worked with organizations, training over 1,000 professionals to apply AI meaningfully in their roles. Not theoretically, but in ways that translates to real work.

With this, we are completing the Enterprise AI adoption circle to offer a unified ecosystem:
   •  Enabling teams to foster “AI-first” mindset
   •  Building production-grade, outcome driven Enterprise AI systems
   •  Deploying AI capabilities across critical business functions for sustained business impact

This next phase will bring together:
   •  Practitioner-led capability building through Humaine Labs
   •  Deep Agentic AI execution, orchestration and governance through DotKonnekt

With this, enterprises can leapfrog incremental adoption cycles and move from AI intent to impact, faster and more sustainably.

We are investing in building a strong trainer–practitioner ecosystem and expand the footprint across the Middle East and Singapore.
The mission is simple. Make AI adoption real. Sustainable. Enterprise-ready.

#EnterpriseAI #AIAdoption #DigitalTransformation #DotKonnekt #HumaineLabs #Leadership #Leapfrog

Humaine Labs is hosting an in-person Executive AI Masterclass in Dubai.

If you want to lead and excel in the age AI, this is for you.

Practitioner-led.
Built for real-world impact.
Limited seats

👉 Learn more & book your seat. Link in comments. 

Think AI. Think Humaine.

Anurag Kapoor Gaurav Motani Chandan Mahajan Dhiraj Jain

Here’s how to shape and train teams to actually deliver AI ROI.


1. Remove tool chaos before you train

Most teams are overwhelmed before they even begin. Too many tools. Too many features. Too little clarity. Start by narrowing the focus. Decide where AI should help, which tools are approved, and what “good usage” looks like. Training without this step creates noise, not impact.

2. Train teams to use AI as a system

AI ROI does not come from better prompts alone. It comes from connecting workflows end to end. Teach teams how research feeds strategy, how strategy feeds execution, and how outputs loop back into decisions. When AI is embedded across this flow, teams stop treating it like a helper and start treating it like infrastructure.

3. Train by role, not by tool

Generic AI sessions fail because everyone hears the same thing. Real ROI comes when sales, marketing, ops, finance, and leadership learn AI in the context of their actual work. Training should mirror real scenarios, real decisions, and real constraints.

4. Build ownership into the training

If no one owns outcomes, there is no ROI. Assign responsibility. Each team should walk out knowing what they will automate, accelerate, or improve using AI. Not later. Immediately.

5. Measure outcomes, not activity

Stop tracking tool usage. Start tracking time saved, decisions improved, cycle times reduced, and revenue or cost impact. When teams can point to outcomes, AI adoption sustains itself.

Most organisations don’t need more AI tools. They need a better way to enable their people.

At Humaine, this is exactly how we work with teams. 
If you’re serious about turning AI into business impact..
Get in touch..

#airoi #aiadoption #workforceenablement #genai #aiinbusiness #futureofwork #upskilling #humainelabs

Some teams are using AI. Others are building systems.


The difference is subtle.
But the outcomes are worlds apart.

AI doesn’t reward access.
It rewards clarity, structure, and intent.

The more I work with businesses to implement AI the clearer it is getting..

And that gap is only getting wider.

ChatGPT Health signals something bigger than just a new feature.


2025 was the year millions used ChatGPT as a tool.
Asked questions. Got answers. Moved on.

What’s coming next is different.
AI will stop feeling like an app you open.
It will become the layer running quietly underneath everything you do.

Work. Decisions. Planning. Learning. Even health.

Think of it less like software.
More like a new operating system for knowledge work.

Those who treat it as a chatbot will stay busy.
Those who learn to work with it will compound fast.

Learn to use these tools.
Better still, learn to think with them.

Are we all using the same AI? Technically, yes. Culturally? Absolutely not. 

I dug into the 2025/26 data to see how different nations are actually adopting Artificial Intelligence. The results are fascinating.

While the US treats AI like a relentless intern, India is using it as a universal translator , and Brazil is using it as a super-powered coupon clipper .

Swipe through to see the Global AI Culture Shock. ➡️

Which habit would you adopt?

#AIStats #GlobalTrends #ArtificialIntelligence #Marketing #TechTrends #UpYourMarketingAi

GLOBAL AI HABITS

AI in 2026 and what comes next


I was recently in a long conversation with Dhiraj Jain about how AI will actually play out over the next few years. 

We began with chatbots, the large language models became accessible to everyone. That phase moved incredibly fast and, in many ways, has already started to plateau. The gains are now incremental, not transformational.

From there, we saw a wave of vertical AI tools. Marketing tools, sales tools, finance copilots, research assistants. These were genuinely useful, but they still lived in silos. Each tool solved a slice of the problem, not the whole workflow.

The real shift started when organizations realized that AI tools alone don’t change outcomes. Systems do. We are now entering the phase where teams are building connected workflows, orchestrating multiple agents, and letting AI move work across functions instead of just generating content on demand.

Along the way, something important changed quietly. We moved past prompt engineering. First it was about asking the right question. Then it became about structuring knowledge through knowledge graphs.
Now it is about context graphs. Understanding intent, memory, dependencies, and decision paths across work. This is what allows AI to act with continuity instead of starting from zero every time.

Looking ahead, the surface area of AI expands even further. Edge AI brings intelligence into devices. AI starts living inside hardware. Robotics becomes practical, not theoretical. 
AI begins to operate in the physical world, not just inside documents, chats, and dashboards.

My belief is that 2026 is when this all becomes real in a visible way.

At that point, the question will no longer be which AI tool to adopt. It will be how we redesign work itself around what AI can now do reliably. That is the shift most teams are still underestimating.

Would love to hear how you see this playing out. Share your views.

Agents, demystified.

For the last year, “AI agents” have sounded bigger and more mysterious than they actually are.

Google quietly released a detailed guide that  explains agents for what they really are.
Not magic. Not sci-fi. Not autonomous beings.
Agents are simply systems.
Systems that can:
 • break work into steps
• call tools
• coordinate multiple models
• run reliably in production
• be governed, monitored, and scaled

This is the missing layer many enterprises struggle with.

Not “which model to use”, but how to move from idea to execution at scale.

If you’re serious about AI in 2026, agents won’t be optional.

But they also don’t need to be intimidating.

They just need clear thinking, strong use cases, and disciplined system design.
That’s the real work ahead.

#ai #genai #aiagents #enterprisetech #systemsthinking #futureofwork #aiadoption

google agent guide

India’s AI story has to be different from the rest of the world.


We are a labour-intensive economy. Our advantage has never been replacing people. It has been scale, skills, and service.

That’s why AI, done right, should create more jobs and opportunities, not fewer.

If India gets this right, we don’t just build AI products. We become the AI services and execution engine for the world. From operations to marketing, analytics to decision support. AI-enabled Indian teams powering global businesses.

But this future doesn’t come automatically.
It demands serious upskilling. 

What I liked in the Prime Minister’s recent interaction with industry leaders was the clarity. Ethical AI. Indigenous capability. Strong digital infrastructure. And most importantly, talent and skilling as the foundation.

UPI showed us what happens when India builds for its own scale and reality. AI can follow the same path, if we invest in people, not just platforms.

At Humaine, that’s exactly what we’re focused on. Building an Indian workforce that is truly AI-ready, role by role, team by team.

MeitY- nasscom Center of Excellence MeitY Startup Hub 

#ai #indiaai #futureofwork #upskilling #talentdevelopment #genai #aiadoption #aiforall #humainelabs

Navigate AI age with clarity!

If you’re experimenting with AI, but nothing has fundamentally changed yet.

If your team says they’re using AI, but output feels the same.

If you know AI matters, but don’t want shallow training.

You’re exactly who we built this for.
Seat filling up fast, see you in Dubai!
link in comments..

Anurag Kapoor Gaurav Motani

India’s AI play at Davos is very clear – it’s about real ROI, not just bragging rights on model size.

Union Minister Ashwini Vaishnaw laid out a powerful 5-layer view of AI architecture:
Energy
Infrastructure (data centres)
Chips (semiconductors)
Models
Applications 

His core message:
“ROI doesn’t come from creating a very large model… 95% of the work can happen with 20B–50B parameter models.”

What does that mean for India?

The big bet is on the application layer to solve real enterprise and citizen problems at scale.

Indian companies’ strength in process understanding + AI = services that can be exported globally.This is a very “India-native” AI thesis..

If you’re building in AI from India, this 5-layer lens is a great way to stress-test your strategy:Which layer are you really playing in?

Are you optimising for hype, or for deployment and ROI?

Just for fun!
Put this prompt in chatgpt

'create an image representating how i have treated you'

cred Adam Goldberg 

share what you get!

See you in Dubai!
1-Day Executive AI Masterclass(In-person)

If you want clarity, confidence, and the ability to lead in the AI age, this is for you. Most professuonals are experimenting with AI. Very few are using it to drive real decisions, outcomes, and exponential productivity.

This 1-Day Executive AI Masterclass, curated by Humaine Labs, is practitioner-led and mentored by experts actively building and deploying AI systems in real businesses.

In just one day, you will gain hands-on proficiency across 20+ AI tools, including Agentic AI, enabling you to work significantly faster while expanding your capabilities beyond anything you’ve experienced before. No coding knowledge required.

Why this is different:
•⁠  ⁠Practitioner-led, Beyond theory.
•⁠  ⁠BuHumaine real business impact
•⁠  ⁠Small, curated cohort for deep, actionable learning

⚠️ Seats are intentionally limited. Once filled, registrations close.

Event Details:
Date: 14th February 2026
Time: 10:00 AM – 5:00 PM
Location: Business Bay Area, Dubai

If you want to navigate AI with clarity and lead with confidence, this is where you start.

More info & book your seat..link in comments.

Think AI. Think Humaine.

taplio

The Battle

Prasad Mane

Sourabh Singh

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The Battle

Prasad Mane

Sourabh Singh

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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);}Prasad Mane's LinkedIn Performance

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