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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!

Why AI in B2B Sales Fails at the Last Mile and How to Fix It

Most conversations about AI in B2B sales focus on speed. Fewer focus on control. That is the blind spot.

AI can produce drafts, summaries, research, and follow-up frameworks in seconds. That part is real. But the final 20%, the last mile, is where revenue quality is either protected or destroyed. That final layer requires human judgment: context, timing, risk assessment, and the decision of what should happen next.

The central operating issue in sales today is not effort. It is an allocation. Too many high-value salespeople are spending prime hours on low-value administrative work. CRM cleanup. Internal updates. Document hunting. Manual transcription. Reformatting information that should already be structured. That is a sales management design flaw, not a rep discipline issue.

When sales organizations fix this, performance changes fast. More customer-facing time creates more trust-building interactions. More trust creates better access, stronger positioning, and better conversion outcomes. This is not theoretical. It is how revenue generation compounds in real markets.

The right model is not “AI only.” It is a hybrid model: deterministic automation for correctness, AI for speed and language quality, human oversight for business judgment.

Deterministic systems should control anything that must be exact: pricing, contract elements, offer logic, approval rules, and data integrity. AI should then layer natural language, personalization, and messaging refinement on top of verified inputs. This is how you scale value selling without introducing preventable errors.

If your team is still using AI as a standalone drafting tool, you are under-leveraging it. If your team is sending AI output without last-mile review, you are overexposing the business. The goal is not automation theater. The goal is repeatable, high-confidence sales processes that increase throughput without compromising trust.

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The Producer Mindset: Tech-Led, Human-Centric Selling for Faster Pipeline Velocity

Administrative drag is not an inconvenience. It’s a structural failure in modern B2B sales that quietly taxes performance, slows pipeline velocity, and degrades your ability to show up sharp for buyers.

The pattern is predictable. You earn a hard-won meeting with an executive. You know you need a tailored deck that speaks to their priorities. Then reality hits: marketing is backlogged, design is unavailable, and you’re left formatting slides at night like a part-time desktop publisher. That’s the sales tax: time and energy spent on non-selling work that steals capacity from revenue generation.

This is the Tollbooth Effect in action. You build momentum in discovery, then you hit the system’s plaza: CRM updates, meeting notes cleanup, searching old folders for case studies, and wrestling with presentation software. The deal cools while you “pay.” Your edge dulls, not because you can’t sell, but because the operating model forces you into manual labor at the worst possible moment.

The fix isn’t working harder. It’s changing the role you play in the workflow.

In the Producer Mindset, your highest value isn’t typing, formatting, or slide layout. Your highest values are judgment, strategy, and human connection, and those can’t be automated. Technology should lead on mechanics while you stay accountable for truth, tone, and impact. This is a tech-led, human-centric approach: AI accelerates the work, but you control the meaning.

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How to Use AI to Write Personalized Cold Emails at Scale

It’s Sunday night. You’re staring at your CRM and that dreaded task appears: “Prospecting Block: 100 Accounts.” The feeling in your stomach tells you what’s coming. You’ll either blast generic messages and feel like a spammer or spend hours crafting a handful of handcrafted emails that barely move the needle.

This is the central productivity crisis in modern B2B sales. We’re constantly forced to choose between efficiency and relevance. But what if that choice was a false one? What if artificial intelligence could help you achieve both, without sacrificing your authenticity or sanity?

The False Choice: Efficiency vs. Effectiveness

The traditional approaches to sales outreach, templates versus deep personalization, represent the old world of “one-to-many” or “one-to-one.” But the future of sales lies in one-to-one at scale. The key is understanding that AI isn’t replacing salespeople, it’s augmenting them.

Your job is no longer to write every email from scratch. Your job is to be the editor-in-chief of your outreach strategy. The human decides the target, tone, and message. The AI executes your direction at scale.

The Strategic Brief: Your Blueprint for AI-Powered Outreach

To adopt this workflow, replace your 50-email grind with one Strategic Brief containing three sections:

  1. Voice Profile – Teach AI to sound like you. Include examples of your best emails and guidelines for tone, structure, and style.
  2. Prospect Context – Gather simple, factual data on each contact: title, company, recent events, and pain points.
  3. Mission – Define your goal and message direction. What’s the objective of the email: reply, insight, or meeting?
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Automating Sales Workflows: When to Use Automation Over Chat

In sales management, there’s often some confusion about when to use artificial intelligence chat interfaces versus automation workflows. Chat interfaces are ideal for creative problem-solving, learning, and strategic research, while automation excels in repetitive, high-volume, data-driven sales tasks. The trick is to recognize when consistency and scalability are more important than customization.

Automation delivers consistent execution, eliminates human error, and operates 24/7. Sales leaders can rely on it for triggered communications, data synchronization across systems, CRM updates, and compliance tasks that require accuracy and complete audit trails. By moving these routine tasks into automated workflows, sales teams free up valuable time for relationship building, revenue generation, and refining sales strategies.

Real-world examples highlight the impact: a team once spent three hours daily crafting manual follow-up emails. Shifting to automated sequences not only saved time but also improved messaging consistency and pipeline response rates. Similarly, another team utilized automation to synchronize sales data across six systems, thereby eliminating bottlenecks and enabling sellers to focus fully on sales.

Hybrid approaches really take things to the next level! By merging human creativity in chat interactions with the quick and precise power of automation, businesses can craft workflows that beautifully balance personalized service with the ability to grow. This type of teamwork enhances value-driven selling, sharpens business skills, and accelerates revenue management throughout the sales journey.

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AI Isn’t Replacing Salespeople, It’s Giving Them a Competitive Edge

AI isn’t replacing salespeople, it’s making them more effective. The real risk isn’t losing your job to AI; it’s losing to a competitor who uses AI better than you do. Sales professionals who integrate AI into their workflow will outperform those who don’t. 

It’s not about technology taking over but about using technology to gain an edge. The market is becoming increasingly competitive, and the most efficient salespeople will emerge victorious.

Time is a salesperson’s most valuable asset. 

Every minute spent on administrative tasks is a minute not spent selling. AI helps reclaim those lost hours. Tools that automate writing, scheduling, and research allow salespeople to focus on what matters: building relationships and closing deals. If you’re not leveraging AI to increase productivity, you’re leaving opportunities on the table.

Sales emails need to be clear and professional. AI-powered writing assistants ensure your messages are polished and effective. A poorly written email can cost you a deal. AI tools catch grammatical mistakes, improve clarity, and even suggest more effective phrasing. This isn’t just about looking professional; it’s about being understood. 

If your message isn’t clear, it won’t convert.

Presentations are another time-consuming task. AI can generate professional decks in minutes. Instead of spending hours designing slides, salespeople can focus on developing effective strategies. AI-powered tools create branded, structured presentations based on simple inputs. This ensures consistency while saving time. Sales professionals who utilize AI for presentations can focus on delivering insights rather than formatting slides.

CRM systems are the backbone of sales operations. AI enhances CRM by automating data entry, tracking customer interactions, and suggesting next steps. Salespeople often struggle with keeping CRM data updated. AI reduces this friction by automatically capturing and organizing information. A well-maintained CRM leads to better forecasting and stronger customer relationships. 

If your CRM doesn’t have AI capabilities, it’s time to upgrade.

AI-driven insights enable sales managers to make more informed decisions, rather than relying on instinct. Managers can use AI to analyze performance trends, identify coaching opportunities, and predict revenue outcomes. AI doesn’t replace leadership; it enhances it. 

Sales managers who adopt AI can build stronger teams and achieve better results. Ignoring AI in sales management is a strategic mistake.

Lead generation is another area where AI adds value. AI-powered tools can analyze vast amounts of data to identify high-potential prospects. Instead of spending hours researching leads, salespeople can receive AI-generated recommendations. This allows for more targeted outreach and higher conversion rates. AI doesn’t just find leads, it finds the right leads.

Sales follow-up is often inconsistent. AI ensures follow-ups happen at the right time with the right message. Automated reminders and AI-generated responses keep deals moving forward. 

A well-timed follow-up can be the difference between closing a deal and losing it. AI helps salespeople stay on top of their pipeline without relying on memory.

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AI in B2B Sales Isn’t Optional Anymore

Several months ago, I was serving as a fractional VP of Sales for a $50 million manufacturing company. Their top salesperson was a 15-year veteran who knew the industry inside and out. Yet he was consistently being outsold by a competitor’s much newer hire. At first, it didn’t make sense until we discovered the reason. The competitor’s rep wasn’t just more energetic or aggressive. They were AI-enabled. While my client’s rep was manually scrolling LinkedIn… AI in B2B Sales Isn’t Optional Anymore

Two Tall Guys Talking Sales – Workflows, Automation, and AI: Building a Smarter Sales Organization – Episode 145

In this compelling episode, co-hosts Kevin Lawson and Sean O’Shaughnessey delve into the crucial distinctions between workflows, automations, and artificial intelligence (AI), and why understanding these differences isn’t just technical trivia, but foundational to improving sales processes, enhancing sales management, and accelerating revenue generation. If you’re a sales leader, business owner, or B2B rep striving to improve how you use technology to boost sales success, this episode is a must-listen. Packed with real-world examples and… Two Tall Guys Talking Sales – Workflows, Automation, and AI: Building a Smarter Sales Organization – Episode 145

B2B Sales in the Age of AI: Why Top Salespeople Will Thrive While the Repetitive Roles Disappear

The buzz surrounding artificial intelligence has left many professionals wondering about the future of their careers. For B2B sales professionals, the rise of AI presents a fundamental question: Will AI replace salespeople?

The short answer is no, but it will replace some of their work. More accurately, AI will redefine the B2B sales landscape by eliminating lower-value activities, consolidating support roles, and enhancing the capabilities of top performers. In doing so, it will widen the gap between average and great salespeople.

Several years ago, I wrote a similar explanation about the fear that “the internet” would replace salespeople. That didn’t happen. You can find that article on the blog that supports my first sales book. Are salespeople necessary in the Internet age?

This blog post explores how B2B sales is positioned relative to AI disruption, referencing key insights from Benjamin Todd’s article, “How Not to Lose Your Job to AI” (80,000 Hours, 2025). Todd’s framework on skill types that increase in value in the age of AI helps us understand how high-functioning sales teams should evolve and how sales professionals can future-proof their careers.

Understanding AI’s True Impact: Augmentation, Not Replacement

A common misconception about AI is that it simply replaces humans. This isn’t true. AI devalues tasks it can perform while increasing the importance of the skills it cannot. Todd explains this dynamic through examples like the ATM: while the ATM reduced the need for transactional teller tasks, it actually increased demand for bank branch workers by allowing banks to open more branches. AI follows a similar pattern.

In B2B sales, AI will handle the most automatable tasks, such as data entry, follow-ups, list-building, and basic prospecting emails. However, this doesn’t eliminate the sales role; it sharpens its focus.

Instead of dialing hundreds of prospects daily, sales professionals will focus more on strategic engagement, account planning, and using AI-generated insights to elevate conversations. The result? Sales has become a more thoughtful, human, and strategic discipline for those who can keep up.

Four Categories of Skills That AI Will Make More Valuable

In Todd’s excellent article, he identifies four skill types that increase in value in an AI-enhanced workplace:

  1. Hard-to-automate skills
  2. Deployment-related skills
  3. Scarce, high-utility skills
  4. Skills hard for others to learn or replicate

Each of these aligns tightly with the demands of modern B2B sales.

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Level Up Your Sales Prospecting with Advanced Research Techniques

A shoutout to Chris Spanier and Episode #85 of the Practical, Actionable Marketing Podcast

Sales prospecting has always been a grind. What if you could cut your research time in half and dramatically improve your outreach results?

In Episode #85 of the Practical, Actionable Marketing podcast, host Chris Spanier delivers a masterclass on how to do just that. Titled “Advanced Prospecting Research Tools,” the episode is packed with time-saving techniques and tools that help sales professionals build sharper prospect profiles faster.

As someone with over four decades in sales and sales management, I believe this kind of tactical insight makes a difference. If you haven’t already, listen to the episode. Then, come back here for a quick breakdown of what Chris covered—plus a few of my thoughts.

Why Prospect Research Matters More Than Ever

In a market saturated with sales messages, relevance is your only competitive advantage. The days of blasting generic emails to massive lists are over. Today, the winners are the ones who personalize their outreach with precision—and that begins with better research.

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Adapting to the New Sales Landscape: The Importance of Omni-Channel Outreach

Are you still relying on trade shows as your primary sales driver? The sales landscape has undergone a seismic shift. Those packed convention halls and endless rows of booths no longer serve as the bedrock of business development they once were.

Let’s talk about what works in today’s sales environment. Building an effective outbound pipeline isn’t just an option anymore – it’s your survival toolkit. But here’s the challenge: how do you stand out in a market where everyone’s fighting for attention?

Your unique value proposition makes all the difference. Yet many sales professionals miss a crucial point: your value proposition isn’t static. What resonates with a manufacturing client might fall flat with a distribution company. Have you tailored your message to address each industry’s pain points?

Think about your last prospecting campaign. Did you give up after four or five attempts? Research shows it takes 12 to 16 touches before prospects typically respond. This gap between persistence and practice often determines success or failure in modern sales.

The game has changed. Your prospects live in an omnichannel world. They check email between Zoom calls, scroll LinkedIn during lunch, and scan their phones throughout the day. How are you showing up in their digital world?

Consider this: every unanswered email or phone call might be a messaging problem. Are you talking about your features when you should be solving your prospects’ problems? Your prospects don’t care about your product specifications. They care about their challenges, their goals, and their bottom line.

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