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What An MBA Didn’t Teach You About Sales

The sales profession is challenging. You need to work hard at it to succeed. You need to learn from the best. You need to improve your skills continuously. If you think you can sell since you are a hit at parties and have a lot of friends, you may soon find that you are a failure as a salesperson. Blunt truth:

because the sales profession is so hard, you have to focus on doing everything in sales very well, or you will be considered a failure.

I call this blog, Skinned Knees because I try to relate all of the learning that I have done over the past 4+ decades (while skinning my knees in the learning process).

I hope that you learn from my mistakes so that your business will grow!

Reclaiming Hours of Selling Time with AI – Lessons from MAICON 2025

You just checked your team’s dashboard. Activity looks fine. But deep down, you know that the numbers don’t tell the whole story.

Every salesperson loses time to the same unseen burden: administrative drag. After each successful discovery call, there’s a 20-minute grind with CRM updates, email summaries, and internal handoffs. This “sales tax” cuts into selling time, hurts momentum, and costs your company thousands weekly in lost productivity.

I just returned from MAICON 2025, and I was so inspired that I wanted to share some of the biggest lessons. At the MAICON 2025 conference in Cleveland, the message was clear: artificial intelligence is changing sales management, not by replacing people, but by empowering them. The winning teams are using AI to eliminate “digital grunt work” through orchestration, not standardization.

Orchestration, Not Standardization

MAICON’s main message was that sales leaders should stop searching for the “one magical platform.” Instead, the most successful organizations coordinate several top-tier tools. Their AI ecosystems are modular, flexible, and collaborative.

It starts with three pieces:

  1. a transcription tool like Fireflies,
  2. an automation hub like Make.com or Zapier,
  3. your existing CRM and communication systems.
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Stop Researching, Start Connecting: An AI-Powered System for Warm Introductions

Most sales teams begin the week by opening a dozen browser tabs and grinding through scattered research, LinkedIn, Google News, company websites, and databases. Hours later, they emerge with a few generic talking points and a cold list that still feels cold. The deeper issue isn’t inefficiency; it’s invisibility. Warm introductions already exist across your company’s network, in email histories, calendars, and executives’ LinkedIn connections, but you can’t see them on Monday morning.

The Relationship-First approach changes that default. Before a single cold call or email, you perform a deliberate “Warm Path Check.” You ask, “Who do we know who knows them?” This question transforms prospecting from random outreach into a repeatable, data-driven process that prioritizes relationships. When you start as a referred conversation rather than an interruption, skepticism drops, credibility rises, and the sales cycle compresses dramatically.

The Hidden Network You’re Not Using

Every organization has an untapped network, a web of past colleagues, vendors, and clients who could open doors to your dream accounts. The problem is that this network is hidden in plain sight. It lives in the collective memory of your company’s communication patterns, but there’s no easy way to access it manually. That’s where KnowledgeNet comes in.

KnowledgeNet serves as your organization’s “relationship intelligence” layer. It analyzes communication data (emails, meetings, messages) to reveal who knows whom, and how strong those connections really are. Instead of guessing, you can instantly see that a colleague in engineering once worked closely with the CFO of a target account. That’s a warm path waiting to be used.

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Choosing the Right AI Stack for Your Sales Organization

A VP of Sales recently confided in me: “We have six different AI tools, but our reps are still doing manual work. What went wrong?”

This is the AI tool proliferation problem. Sales leaders often collect tools without a strategy, mistaking a pile of features for a cohesive system. It’s like buying a hammer, screwdriver, saw, and drill without realizing you’re actually trying to build a house. An effective AI stack means integration. When tools work together, they amplify each other’s value. When they don’t, they add complexity, confusion, and wasted money.

Why Strategy Beats Random Adoption

Random tool adoption is rampant across sales organizations. Teams chase shiny new software, often ending up with overlapping features, siloed data, and productivity lost to tool-switching. Instead of solving problems, the stack itself becomes the problem.

But when built strategically, the benefits are profound. Integrated systems reduce manual data entry, accelerate response times, and deliver actionable insights for reps. Three well-chosen, well-connected tools can outperform six isolated ones. Integrated stacks also improve adoption rates by providing consistent interfaces and reducing training overhead.

The Five-Layer AI Stack Framework

To avoid the chaos of random adoption, I use a five-layer framework for structuring sales AI tools:

  1. Data Foundation – Your CRM and data management system, enriched and maintained for accuracy.
  2. Intelligence & Analytics – AI-driven insights, lead scoring, forecasting, and market intelligence.
  3. Automation & Workflow – Sequences, task automation, and cross-platform orchestration.
  4. Content & Communication – AI writing, proposal generation, and customer-facing tools.
  5. Optimization & Learning – Conversation analysis, performance tracking, and continuous improvement.
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From Manual to Automated: A Sales Pro’s Guide to Zapier, Make.com, n8n, and Pipedream

A sales manager recently told me something that stuck: “We went from twenty hours per week of manual work to two hours. Our lead response time dropped from four hours to four minutes.” That dramatic transformation wasn’t magic—it was automation. The reality is that sales teams today have more automation tools available than ever before. But with options like Zapier, Make.com, n8n, and Pipedream, the real challenge isn’t whether you should automate—it’s choosing the right… From Manual to Automated: A Sales Pro’s Guide to Zapier, Make.com, n8n, and Pipedream

APIs Explained for Sales Leaders: Drive Growth Without Extra Headcount

A sales manager recently told me, “I have to copy the same prospect data into five different tools. There has to be a better way.” That frustration is more common than most sales leaders realize, and fortunately, there is a better way. The reality is that sales teams are hemorrhaging productivity due to disconnected systems. Top performers spend hours manually entering data, bouncing between platforms, and correcting inevitable errors. This administrative overhead steals time from… APIs Explained for Sales Leaders: Drive Growth Without Extra Headcount