Nick Lawrence

Sales Academy, Global Sales Enablement

I build "Enablement Environments" that enable reps to produce the outputs that determine performance.

As a certified Master Instructional Designer, Change Management and Sales Effectiveness Professional, my experience in Human Performance Management and sales best practices enable me to design highly relevant sales programs made up of accessible information, support assistance, communication, reinforcement, scenario-based eLearning courses, performance training, and OTJ coaching that accelerate and maintain sales productivity. 

I spent five years on the Purdue wrestling team, where I received All Big Ten honors, qualified for the NCAA tournament, and won the 2015 Most Dedicated Wrestler award at Purdue University. The sport of wrestling has instilled exceptionally high levels of accountability, ownership and dedication in me. The most influential lesson I took away from the sport was to "get comfortable while being uncomfortable." I'm able to maintain a high-degree of energy and enthusiasm when adversity strikes.

Most importantly, I'm a husband and father of two young daughters. Sharing my love of exploring nature, hiking through the woods, and reading books with my family has been the most enjoyable and rewarding experiences of my life. In fact, I'm so passionate about learning and development that my wife and I are homeschooling our daughters.

Sales Enablement Professional

Jonathan M K.

VP of GTM Strategy & Marketing - Momentum | Founder GTM AI Academy & Cofounder AI Business Network | Business impact ​> Learning Tools | Proud Dad of Twins

I’m Jonathan, an AI and GTM strategist passionate about transforming how businesses harness AI for real impact. With over 15 years in Revenue Excellence, Enablement, and GTM Acceleration, I’ve successfully developed and implemented transformative enablement programs for global organizations, Fortune 500 companies, and startups. Recognized in SEC’s 2023 & 2024 Enablement Ones to Watch and honored as an Enablement Legend by Seismic and the Enablement Squad, I strive to stay ahead of industry trends.

4 Years ago I deep dove into AI after enabling an AI tech for an internal team and it's customers and in 2022, I founded the GTM AI Academy to bridge the gap between learning AI tools and creating tangible business outcomes. My mission is to provide AI-driven strategies that cover all functions of a Go-To-Market (GTM) team, helping professionals implement actionable use cases for their own companies. I also consult on AI integration and strategy for high-growth businesses, offering GTM insights that drive revenue growth and efficiency.

If you’re looking to leverage AI either for Yourself, Your team, or C-Suite and Board level advising, refine your GTM strategies, or accelerate business outcomes, feel free to connect. I’m always open to discussing the future of AI in business and how to make true impact.

Head of GTM Revenue Enablement & Product Marketing

- Develop and execute revenue enablement strategies to drive sales growth and enhance customer experience.
- Collaborate with cross-functional teams to align revenue goals, optimize processes, and identify market opportunities.
- Conduct market research and competitive analysis to stay ahead in the payment media industry.
- Implement and oversee enablement programs, including training, tools, and resources for our presales, CSM, BDR, partner, and sales team.
- Analyze sales performance data and provide insights to improve revenue generation and forecasting accuracy.
- Cultivate strong customer relationships and support our clients in adopting Simetrik's solutions effectively.
- Drive continuous improvement initiatives to enhance revenue processes and strategies.
-Manage the Product Marketing team creating internal and external facing assets such as videos, blogs, one pagers, white papers, case studies, success stories.

Spent an hour watching 🚀 Victor Adefuye run 3 crazy workflows in Claude Cowork and its freakin rad. Want to see it? Comment below.

Victor has been in GTM enablement for over a decade. 5 years as an MD at Winning by Design. Teaching reps how to write emails, run discovery, execute MEDDPICC. The guy knows what "good" looks like better than almost anyone.

Then Cowork dropped. 

And he turned 10 years of enablement IP into AI agents.

Here's what he showed me. Live on the GTM AI Podcast.

He pointed Cowork at 360 conference leads and typed 3 sentences.

 Cowork spun up 15 parallel sub-agents. Each one independently researched a company, scored it against his ICP, and wrote personalized nurture emails that pulled from his 110-page content library. Matched by pain point.

He fed 7 sales calls into a folder. A custom MEDDPICC skill scored every single one in parallel. Individual scorecards with direct quotes and timestamps. Then a synthesis agent rolled up a team-wide gap analysis showing exactly where reps were weak: economic buyer, champion development, paper process.

And then came the one that broke my brain.

Victor is NOT a developer. Never has been. But in 2 weeks he built 7 Make.com automations by having a conversation with Cowork. It opened Make in his browser. Selected the modules. Configured connections. Wrote the prompts. One automation finds newly hired CROs every week and builds drip campaigns off the trigger. Built through chat.

He said something I can't stop thinking about:
"The same training I used to give to humans and hope they would remember, I now give to AI. It's more reliable."

That's the whole game right there. Your enablement playbook IS your AI moat. The people who spent years defining what good looks like are now the most dangerous builders in the room.

Stop prompting. Start packaging your expertise.

I broke down all 3 workflows step-by-step in my latest newsletter. Full playbook. Skill templates. MEDDPICC scoring rubrics. 

Everything you need to build these yourself this week.

Want to see it in action and get the full playbook?
-Like this post
--Comment "Cowork Playbook"
---Repost if you know a GTM leader who needs this

Or get it here: https://lnkd.in/gGcjQkJd

Enjoy!

Anthropic just dropped a jobs report that should have everyone's attention. Want the link? Comment below.

"Labor market impacts of AI: A new measure and early evidence" (Massenkoff & McCrory, March 5, 2026)

The headline findings everyone will talk about: 
→ Computer programmers: 74.5% observed AI exposure 
→ Customer service reps: 70.1% 
→ Sales reps (wholesale/manufacturing): 62.8% 
→ Market research & marketing specialists: 64.8%

The finding most people will miss: 

There's a massive gap between what AI CAN theoretically do to a job and what it's ACTUALLY doing. The "observed exposure" is a fraction of the theoretical capability.

Translation: We're still early. The wave hasn't crested.

This report looks at broad BLS occupational categories. It doesn't break down what's happening inside GTM specifically.

So I did it.

I took the same logic, theoretical vs. observed exposure, task-level analysis, automation vs. augmentation weighting—and mapped it across 7 GTM roles:
🔹 Revenue Leaders 
🔹 Customer Success 
🔹 RevOps 
🔹 Enablement 
🔹 Sales 
🔹 Business Development 
🔹 Marketing

The results are... uncomfortable in the best way.

Some roles are seeing 60-70%+ task coverage RIGHT NOW. Others have massive theoretical exposure but almost zero observed deployment.

That gap? That's your window.

If you want the original report and my GTM version, then....
-Like this post
--Comment "GTM" 
---Repost for others who wanna see

Or get it here: https://lnkd.in/e23zQNMs

I'll send you the full GTM AI Exposure Report and the original Anthropic report.

Jonathan K.

I had a behind the scenes look at Legora and how they move fast, want the playbook? Comment below.

Account planning used to take 2 quarters. Now it takes 90 seconds.

Justin Driesse, Director of Sales Enablement at Legora, built a Notion AI agent that generates account plans so detailed his CRO asked "Is this real?"

Not one good plan. Hundreds. Every single one with tiered stakeholder maps, competitive intelligence, inline footnotes linking to source press releases, and strategic recommendations.

The reps' most common question? "That's it? I just type 'yes, chef'?"

That's it.

Here's what makes this worth your next 3 minutes:

𝗧𝗵𝗲 "𝗬𝗲𝘀, 𝗖𝗵𝗲𝗳" 𝗮𝗴𝗲𝗻𝘁 𝗿𝘂𝗻𝘀 𝗼𝗻 𝟱 𝗰𝗵𝗮𝗶𝗻𝗲𝗱 𝗽𝗿𝗼𝗺𝗽𝘁𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 𝗡𝗼𝘁𝗶𝗼𝗻. 𝗡𝗼 𝗰𝗼𝗱𝗲. 𝗡𝗼 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀.

Justin used Notion AI itself to write the prompts. He told it what he wanted, what he didn't want, and iterated until the output consistently hit the bar. The agent reads the account name from the page title, pulls from product marketing pages, competitive intel, and industry data stored in Notion, then generates the full plan in 90 seconds.

The unlock: Notion IS the RAG. If your org already lives in Notion, your knowledge base and your agent system are already meshed together. No separate vector database. No upload workflow.

𝗧𝗵𝗲 𝗰𝗵𝗮𝗻𝗴𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘁𝗮𝘅 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝘁𝗼 𝗻𝗲𝗮𝗿 𝘇𝗲𝗿𝗼.

Old world: CRO says "we need account planning." That's 2 quarters minimum. Needs analysis, team training, QBR workshops, manager follow-up, hoping reps keep doing it after the first pancake phase.

New world: Justin launched account planning at their Stockholm kickoff. Pre-work was "spin up account plans for your top accounts." Type "yes, chef." Done. Hundreds of account plans generated in a week.

There was nothing to change manage. The reps weren't learning a new behavior. They were typing two words.

𝗝𝘂𝘀𝘁𝗶𝗻'𝘀 𝘁𝗵𝗲𝘀𝗶𝘀 𝘁𝗵𝗮𝘁 𝗵𝗶𝘁 𝗺𝗲 𝗵𝗮𝗿𝗱:

Stop training people to do admin work. Build agents that do it for them. Then train them on what actually matters.

Enablement and content are about to have a breakup. The teams that see it coming will build agents. The ones that don't will build another e-learning module nobody finishes.

We cover the full breakdown on the GTM AI Podcast

Want the podcast episode AND the Agentic Enablement Playbook I built showing how to create these agents yourself?

→ Like this post
→ Comment "NOTION AGENTS GUIDE"
→ Repost for the GTM AI nerds in your network

Or get it here: https://lnkd.in/g_n26f7n

I'll send you both.

Jonathan M Kvarfordt, MBA

Here is how I describe how I feel with AI right now and keeping up.

I love it first off, but its overwhelming and crazy with all the constant changes.

I feel like I am trying to hit a dart board, while spinning in space, with cats surrounding me, and debris everywhere.

Anyone else feel this way sometimes?

We dug deep with Scott Wueschinski about his AI playbook that created millions in pipeline in 3 months, want to see it? Comment below.

Most GTM teams are managing 15-30 tools.

And still can't get a personalized email out without a "GTM engineer."

That's not a tech stack. That's a tax on your pipeline.

Scott joined Jonathan Moss on GTM AI to demo something different.

He built $100M in qualified pipeline in 3 months at his last company. 

Now he's productized that playbook at GTMFI. 

Here's what he showed us live:
An AI agent that builds your entire GTM foundation in 5 minutes. 

ICP, personas, pain points, use cases, competitive intel, qualifying questions. What agencies charge $5K-10K for.

Specialized outbound agents for every channel and intent type. Not one AI writing everything. Separate agents for email (onsite intent), email (offsite intent), LinkedIn, SMS, WhatsApp. 

Because a prospect who hit your pricing page needs a completely different message than one who read a competitor comparison.

A meeting follow-up automation that drafts your emails before your next call starts. Circleback to n8n to Anthropic to Slack to Gmail draft. No more 6 PM email scrambles.

The thesis that ties it together: content drives intent, intent drives outbound, outbound drives revenue.

Not the reverse. And most teams have it backwards.

Want the podcast and playbook?

-Like this post
--Comment "GTMify"
---Repost for others cuz you are nice

or here https://lnkd.in/gwF8fkrE

And I will send you all the goods

#GTM #AI #GoToMarket #SalesAutomation #B2B #GTMAIAcademy

Sendoso fired 73% of their BDR team. Pipeline doubled. Want the playbook? Comment below.

This is literally one of the most meaty and valuable podcasts I have done cuz the Sendoso team laid out what they are doing which is pretty incredible

15+ BDRs.

Less than 15% of pipeline.

That was Sendoso's reality 18 months ago.

Today?

4 BDRs. 30%+ of pipeline. 2x growth.

And the CoCEO and Cofounder Kris Rudeegraap, their Director of Growth Austin Sandmeyer 🔥🎁, and their "secret weapon" GTM engineer Egan Callahan just broke down exactly how they did it live on the GTM AI Podcast.

Here's what nobody talks about:
Most AI pilot programs die in Week 2.

Not because the AI was bad.

Because there was no harness around it.

No session recovery. No validation layers. No rollback. Just vibes and a ChatGPT wrapper.

Sendoso built 3 production agents that actually run:
→ A contract scraper that saves 45 min per renewal 
→ A deep research engine that surfaces win/loss patterns from every deal ever 
→ An AI proposal generator that pulls from Salesforce + call transcripts automatically

They also shared the full tech stack (26 tools), the build vs. buy decision tree, and a 30-day roadmap any GTM team can follow.

We turned it into 2 free playbooks.

No fluff. No theory. Just the exact architecture, checklists, and frameworks they used.

🎙️ Full podcast episode dropping this week.

Want it? 
You know what to do... 
-Like this post 
--Comment SENDOSO 
---Repost for others who would love this

and I'll send you both playbooks + the full episode link directly.

or get it here: https://lnkd.in/e_au77rz

What's the one manual task your team does every day that AI should already be doing?

AI agents won't fix your broken pipeline. There is no magical tool that you push and magically takes care of years of undefined fundamentals.

AI will just break it faster.

I've been in rooms with revenue leaders across the country. Dinners. Roadshows. And the gap between teams seeing real pipeline impact vs teams just burning credits comes down to one thing.

The foundation.

Here are the 5 things that will KILL your AI pipeline strategy:

1. Undefined ICP
If you can't tell your AI exactly who to target, it will target everyone. Which means no one. I also do not mean just the industry, size, company etc, you need meat.

2. Unmapped processes
AI agents follow workflows. If your workflows don't exist or live in someone's head, the agent is just guessing. 

3. Messy CRM data
Garbage in, garbage out. Except now it's garbage in, garbage out at 10x speed with 10x confidence.

4. Misaligned team definitions
If sales calls it a "qualified lead" and marketing calls the same thing an "MQL" and ops calls it something else entirely... your AI will be just as confused as your team.

5. No intentional workflows
Random automations ≠ strategy. If you haven't designed the workflow with intention, AI just automates chaos.

When the foundation IS there? When you've done the unglamorous work of aligning teams, cleaning data, and designing workflows with intention?

That's where AI agents start to change the math.

I have the pleasure of breaking all of this down on an upcoming webinar with ☁️ Cliff Simon, Ryan Staley, and Manoj Ramnani hosted by SalesIntel.io.

The full playbook on what NOT to do and how to actually build the foundation that makes AI work.

Want in?
→ Like this post
→ Comment "Pipeline"
---Repost for others who are nerds for this kind of thing.

I'll send you the webinar details.

Perplexity Computer replaced $225K/yr in marketing tools in a single weekend.

They built an AI marketing agent that scans hourly, manages budgets, detects fatigue, and coordinates several campaigns end to end.

In one test run, it made 224 micro-optimizations to Perplexity’s own ad stack.

Crazy

Skills.md files are taking over the old way (6 months ago old) version of multi-agent frameworks. 

Let me paint a picture every sales leader knows too well:
Your rep needs to research ACME Corp before their demo call. 

The manual process? 45-60 minutes of tab-switching chaos:
 → LinkedIn stalking
 → Company website deep-dive
 → News scanning
 → Crunchbase hunting
 → CRM data entry
 → Email drafting

Then came the “AI solution”: Multiple specialized agents!
-Research Agent pulls company data
--Analysis Agent scores the lead
---Writer Agent drafts the email
----QA Agent checks for errors

Sounds smart, right? Wrong.

Here’s what actually happens:
 • Context gets lost between agents (like a game of telephone)
 • Your rep waits for 4 different AI systems to sync
 • Something breaks? Good luck debugging the handoff chain
 • Each agent has its own “memory” – none of them see the full picture

The Game-Changer: 
Single Agent + Multi-Skills Architecture
Instead of orchestrating 4 separate AI agents, imagine ONE agent that dynamically loads the exact skills it needs:
-research.skill.md - Pulls LinkedIn + company data
--analysis.skill.md - Scores fit + buying signals
---writer.skill.md - Crafts personalized outreach
----qa.skill.md - Verifies accuracy

The difference?
 → ONE coherent context throughout
 → No information lost in translation
 → Your rep gets a complete, accurate brief in minutes
 → Easy to debug, update, and improve

Why This Matters for Revenue:
Traditional approach = Your team wrestles with AI coordination overhead

Skills approach = Your team gets a reliable research co-pilot that ACTUALLY scales

Think of it like this: You don’t want 4 junior researchers passing sticky notes. You want ONE senior researcher with 4 specialized playbooks they can reference instantly.

Bottom Line:
The future of sales AI isn’t about having more agents. It’s about having BETTER skills that compose seamlessly within a single, reliable system.

We’ve cut lead research time from 45 minutes to 5 minutes. Not with more AI. With smarter AI architecture.

What do you think about this? how are you using skills vs a multi agent framework?

This new world is blowing my mind a bit....
#SalesAI #RevenueOperations #GTM #SalesEnablement #AIforSales #LeadResearch #SalesProductivity #B2BSales

Ok so selfish Market study.... Can you all tell me your thoughts? Recently I had the idea to change the GTM AI Podcast into more of a "behind the scenes look" at how GTM pros were using AI in various ways instead of the classic interview style... I swung the idea to Jonathan Moss my partner/cohost in AI crime and he loved it so we went all in.

3 months later, we have some REALLY meaty stuff and I am genuinely curious, has it been helpful? Do you like the change? Any topics you would love to see or guests we should have on?

Literally open to any feedback of any kind. Gimme your thoughts yo.

It’s this kind of thing that starts to blow my mind a bit. 

The internet want built for AI agents, so Google made the WebMCP. 

Banking isn’t ready or built for ai agents. 

What makes you think the modern GTM or business is? 

It requires looking at it and to build from the ground up. 

The future we will experience in less than 5 years will make us look back at 2026 as an unrecognizable year. 

Crazy times.

No alternative text description for this image

taplio

The Battle

Nick Lawrence

Jonathan M K.

Followers

Posts

Engagements

Likes

Performance ScoreJonathan M K.'s LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Nick Lawrence

Jonathan M K.

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);}Jonathan M K.'s LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreJonathan M K.'s LinkedIn Performance