Founder Helping You Grow | Follow for Daily Leadership & Growth Insights | Serial Entrepreneur | Ex-RBC

Most $1M-$50M B2B companies hit the same wall: what got you here won't get you there.

Your sales team follows five different versions of your "standard" process. Marketing and sales operate in silos. You're building with borrowed tools and broken playbooks. The same cold email sequences everyone uses. The same CRMs with data nobody trusts.

I help revenue leaders build systems that actually scale.

WHAT MAKES MY APPROACH DIFFERENT

My story isn't typical - at 23, as a single dad, I took an unexpected turn into corporate. In big companies like RBC and Mackenzie, I led teams from 2 to 550 people, learning about product development and large-scale expansion. But I constantly wondered: "Am I too late to start my own business?"

That internal struggle led me to leave corporate safety and build two startups in seven years - eventually exiting basix.ai, a sales automation platform backed by Forum Ventures. That experience taught me something critical: the gap between theory and execution is where most scaling companies die.

Now I bridge three worlds:
→ Corporate operations experience (scaled systems at Fortune 500 level)
→ Entrepreneurial experience (built and exited SaaS company)  
→ Technical automation expertise (hands-on with Clay, Make.com, n8n, HubSpot)

WHAT I'VE HELPED CLIENTS ACHIEVE

→ Generated 9-figure revenue growth for clients and employers
→ Scaled bootstrapped businesses to 7 and 8-figure heights
→ Built full TAM in Clay for enterprise outbound teams
→ Developed GTM playbooks that get used (not filed away)
→ Created systems that let leaders lead again

I don't just provide strategy. I walk the path with you. From Fortune 500 boardrooms to founder-led scrappy startups, I bring operational depth and clarity to every engagement.

MY PHILOSOPHY

Most consultants give you frameworks. I give you forward motion.

I don't chase buzzwords. I build revenue engines, simplify execution, and unlock leadership potential with precision and empathy.

This is not theoretical - it's battle-tested across 10 roles in two companies before venturing out, building two startups, and now advising through Techstars and Predictable Revenue.

If you're stuck in complexity or scaling feels like survival, let's talk about bringing order to chaos and traction to your strategy.

Join 190,000+ founders and operators getting my weekly playbook: https://jaymount.me/newsletter

Connect with me here - I share systems, frameworks, and tactical advice for scaling B2B operations.

Jay Mount

Turning Data Into Better Decisions | Follow Me for Daily Tips to Make You More Tech Savvy | Technology Leader & Entrepreneur

Working in technology for 18 years, I knew organizations and clients needed more help than industry was providing:

Here are some of the real challenges I saw clients and organizations facing:

🎯Feeling like people were throwing technology solutions at them without fully understanding the problem
🎯Knowing their data could be used for much more but not knowing how to do this
🎯Not having trusted and skilled advisors to be able to help them make technology decisions
🎯Feeling overwhelmed by the rate of technological change and not knowing where to begin
🎯Not having enough training or understanding to evaluate technology solutions
🎯Technology transformation failing because the people element was ignored
🎯Consultants not connecting the mission with the solution and technology

To solve these challenges, I knew I needed to start a dynamic technology company to bring together world-class talent to help our clients be more tech savvy and to help organizations adapt to new technologies.  

In 2022, Avenir Technology was born. Avenir means future. Because as Peter Drucker said, "the best way to predict the future is to create it." 

We are a team of 15 people who help our clients feel more comfortable with technology and help them adapt to new technologies faster and solve their organizational problems.

Our clients are in the public and commercial sectors. 

To learn more, visit: www.avenirtechnology.net. 

🚀 Ready to get started?  Book a 1-1 call with me: https://calendly.com/anicholson-dfa/30min.

👋 Want to be more tech savvy? Follow me!

Ashley Nicholson

Breaking: Google just dropped 10 free AI courses.
Zero cost. Full access. Enterprise-level training:

This is the same curriculum Google uses internally.

I've deployed AI across federal agencies and Fortune 500 companies. These courses cover the fundamentals that actually matter.

1/ Master the Foundations:

↳ Introduction to Generative AI
Learn what powers ChatGPT and similar tools
https://lnkd.in/ghGR-kqa

↳ Introduction to Large Language Models
Understand how LLMs actually work under the hood
https://lnkd.in/gMKCQ7nf

↳ Introduction to Responsible AI
Build AI systems that don't create liability
https://lnkd.in/g4EAJmGT

2/ Build Real Applications:

↳ Prompt Design in Vertex AI
Master the skill that separates amateurs from professionals
https://lnkd.in/gWJg-6aP

↳ Introduction to Image Generation
Create visual content with AI tools
https://lnkd.in/ggZWmem7

↳ Introduction to Generative AI Studio
Google's platform for building AI applications
https://lnkd.in/gRnedPKk

3/ Technical Deep Dive:

↳ Encoder-Decoder Architecture
The foundation of modern AI translation and summarization
https://lnkd.in/gc-g3-fq

↳ Attention Mechanism
How AI learns to focus on what matters
https://lnkd.in/gfXVJFPw

↳ Transformer Models and BERT Model
The breakthrough that changed everything
https://lnkd.in/gGGKTCsS

↳ Create Image Captioning Models
Build AI that understands visual content
https://lnkd.in/g62aH2sf

4/ Your Action Plan:

↳ Start with section 1. Master foundations first.
↳ Move to section 2 for practical skills.
↳ Hit section 3 when you need technical depth.

Don't skip around. Follow the sequence.

The AI transformation is happening now. 

These courses give you the foundation to participate instead of watching from the sidelines.



Which course are you starting with?

Share below.


♻️ Share with someone who needs to learn more about AI.
➕ Follow me, Ashley Nicholson, for more tech insights.

Turning Data Into Better Decisions | Follow Me for More Tech Insights | Technology Leader & Entrepreneur

Breaking: AWS just dropped 8 guides for building effective AI agents:
Here's how to avoid being left behind:

1/ Agentic AI patterns and workflows on AWS:
🔗 https://lnkd.in/dGkYm3gz

2/ Foundations of agentic AI on AWS
🔗 https://lnkd.in/dfmJhNJX

3/ Writing best practices for RAG:
🔗 https://lnkd.in/db48nc_k

4/ Agentic AI frameworks, protocols, and tools on AWS:
🔗 https://lnkd.in/d2TgBpQK

5/ Building architectures for agentic AI on AWS:
🔗 https://lnkd.in/d9AyTyRg

6/ Creating RAG solutions on AWS for healthcare:
🔗 https://lnkd.in/dZgkkscS 

7/ Choosing an AWS vector database for RAG use cases:
🔗 https://lnkd.in/dd3qdmtb

8/ Building serverless architectures for agentic AI using AWS:
🔗 https://lnkd.in/dYHEZ5Ac

What are you going to learn first.

Share below.


♻️ Repost to share with someone in your network who needs to see this. 
➕ Follow me, Ashley Nicholson, for more tech insights.

The most dangerous man in technology isn't Elon Musk.
It's a 28-year-old kid:
And Zuckerberg just gave him 15 BILLION DOLLARS to build a "superintelligence lab" for Meta. 

His name is Alexandr Wang.
And while we were all looking at the visible geniuses....
He controlled the invisible power.

He didn't start a social network.
He didn't sell electric vehicles.
He didn't build rockets. 

Wang did something infinitely more strategic:
He created the infrastructure on which all of AI would learn from.

His business: Scale AI.
Clients: OpenAI, Microsoft, Amazon, and Meta.

And his advantage?

↳ Seeing the models before anyone.
↳ Collecting the best data.
↳ Knowing what was coming.... before anyone suspected anything.

Because every time a business wants to train AI, it will likely go through him.

And now, Meta wants all this power on their side.
They didn't just get Wang.
They bought access to this corner of the market. 

And here's the craziest thing:
Wang didn't want to be famous.
He didn't scream on social media.
He didn't want visibility. 

He simply constructed something so essential....
The rest didn't have another choice but to rely on him.

While others compete for attention,
He constructed a system that changed the game.

This was the strategy.

It was playing the game from the top.

And seeing things others didn't see.


What do you think of this?

Did Meta make a smart acquisition? 

Share your thoughts below. 



♻️ Share this with someone who needs to see it. 
➕ Follow me, Ashley Nicholson, for more tech insights.

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