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B2B sales

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!


Reclaim Selling Time: How AI Eliminates the Sales Tax and Restores Pipeline Momentum

Most sales leaders are trying to solve a 2026 productivity problem with 2010 management logic. They hire more people, increase activity targets, and apply pressure to the same system. The system doesn’t respond because the constraint isn’t an effort. It’s architecture.

The operational reality is brutal: administrative work is consuming the day and choking selling time. Reps are stuck doing low-level research, logging notes, and stitching together follow-ups across disconnected tools. That “sales tax” creates a momentum gap between good conversations and slow execution. The outcome is predictable: fewer high-quality touches, slower deal movement, less accurate forecasting, and a pipeline that looks busy yet remains fragile.

The fix is not another round of tactical efficiency. It’s a structural reversal: move from a human-led, tech-assisted model to a tech-led, human-centric model. In that design, AI does the machine work—data extraction, workflow orchestration, logging, drafting, hygiene—and the human seller does the work that actually wins deals: judgment, stakeholder navigation, risk reduction, and credibility in the moments that matter.

Think of it as building a Cognitive Revenue Engine. Your reps stop being the engine. They become the orchestrators of an automated engine that produces consistent execution at scale.

This shift has two pillars.

Tactical Efficiency is your time reclaimer. Automate the tollbooth moments: post-call notes, CRM updates, basic research, and first-draft follow-ups. This is not about saving a few minutes. It’s about reclaiming hundreds of hours per rep per year and converting them into customer-facing time.

Strategic Intelligence is where the advantage compounds. AI should be used as a decision partner, not a faster typewriter. The questions change from “Can you write this email?” to “Given this account’s context and our past wins, what risk is most likely to stall this deal, and what’s the next best action?” That is the difference between activity and impact, and it’s the difference between noise and revenue generation.

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From CRM Debt to a Cognitive Revenue Engine: Reclaiming Selling Time with AI

Most B2B sales teams don’t have a talent problem. They have a capacity problem.

Administrative drag is quietly stripping selling time: CRM updates, stakeholder mapping, duplicate cleanup, meeting summaries, and the constant “what should I say next?” work that should not be consuming a senior seller’s day. The downstream damage is bigger than annoyance. Forecast accuracy declines, coaching becomes reactive, and revenue management turns into a negotiation with incomplete data.

Artificial intelligence can fix this, but only if you use it with the right operating model.

Benjamin Todd’s articleHow not to lose your job to AI” makes the point that AI doesn’t simply eliminate jobs; it shifts where value concentrates. As routine tasks become cheap, the remaining human bottlenecks become more valuable. Todd’s ATM example is the cleanest version of the idea: ATMs reduced the need for “money counting,” but the overall demand for human banking roles didn’t collapse. The job shifted toward customer-facing work and higher-leverage conversations.

In B2B sales, our “money counting” is CRM entry, list building, and manual research. Our high-leverage work is business acumen, strategic influence, stakeholder alignment, and value selling. The problem is that most teams have it backwards: humans do the hardest input work (research, logging, hygiene), then AI writes the customer-facing messages. That combination produces drained sellers and generic messaging.

A better model is: Automate the input, humanize the output.

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Instant Follow-Up in Field Sales: How AI Eliminates Post-Meeting Lag

Field sales doesn’t lose deals in the meeting. It loses deals after the meeting when a buyer asks a high-stakes question, you promise to “get back to them,” and the response shows up after the moment has passed. That delay kills momentum and quietly downgrades you from advisor to administrator.

In 2026, the buyer often has access to comparable information. Your differentiation is contextual insight delivered with speed. If your follow-up arrives hours later (or worse, it arrives days later), you’re not doing value selling, you’re doing cleanup. That’s the Administrative Tax: notes, recap emails, CRM updates, and retrieval work that should not be done manually by your highest-paid revenue generator.

Artificial intelligence changes the operating model. The goal isn’t “better summaries.” It’s an Instant Field Response: capture what matters in the room, retrieve the right internal assets, and draft a precise follow-up while you’re still in the parking lot. When AI handles the science (capture, entity recognition, semantic search, and drafting), you reclaim the art: listening, reading intent, and leading the decision.

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The Great Filter – Why Most People Should Quit B2B Sales Today

If you want fairness, choose a role where performance is measured by compliance and consistency. If you want wealth, stay in sales and accept the only rule that matters: compensation follows captured value.

Walk into any growth-stage B2B sales organization, and you see two populations immediately:

  • One group is stuck in grievance. They stare at the CRM, explain shortfalls with lead quality, territory math, product gaps, or “unrealistic quota.” They want a manager to prescribe the playbook and then validate the effort. Their mindset is hourly, even when they’re paid a salary plus commission.
  • The other group is operating a different model. They talk about leverage, pipeline physics, conversion rates, deal control, and enterprise value. They create their own opportunities. They build customer confidence and earn the right to ask for a decision. They are not looking for comfort. They are looking for the wire.

If you identify with the first group, here’s the most respectful advice I can give you: exit sales on purpose. Move into HR, operations, finance, project management, enablement, customer success, analytics, or any role where the exchange is stable and the scorecard is predictable. Those functions matter. They are important and critical to most companies. They keep companies alive. They are also structurally designed to be fairer.

Sales is designed to be variable, value-based, and exposed. That’s the point.

The safety-net trap

Most people walk into sales carrying the wrong conditioning. School teaches that effort should correlate with reward. Show up, do the work, get the grade. Many corporate functions reinforce it. Do the tasks, hit the process metrics, stay inside the lines, and get the raise.

That conditioning becomes a trap the moment you step into a quota role.

In “fair” roles, compensation tracks your cost and your consistency. Your output is capped by your time, so your income is capped by a band. It’s stable, and it’s a ceiling.

Sales is different because it’s one of the few places left where pay can scale with impact. You are not paid for effort. You are paid for outcomes. That makes it feel brutal to people who want certainty, and it feels like freedom to people who want upside.

The moment you need the world to be fair, sales will punish you. The moment you accept the model, sales becomes one of the most rational games in business.

B2B Sales is rewarding because it isn’t easy or fair
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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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Two Tall Guys Talking Sales Podcast – Your Sales Team’s LinkedIn Profiles Are Costing You Deals: Fix the Trust Signals – Episode 173

Sales leaders don’t lose deals on product. They lose them on trust signals—especially the ones buyers pick up before the second conversation even happens. In this episode of Two Tall Guys Talking Sales, Kevin Lawson and Sean O’Shaughnessey break down how your team’s digital presence either reinforces credibility or quietly undermines it. The throughline is simple: your sellers’ profiles and posts are part of sales management, part Messaging, and part Revenue management, because they shape… Two Tall Guys Talking Sales Podcast – Your Sales Team’s LinkedIn Profiles Are Costing You Deals: Fix the Trust Signals – Episode 173

Zombie Deals in B2B Sales: How AI Improves Forecast Accuracy and Coaching

Zombie deals aren’t a pipeline nuisance. They’re a leadership problem with a math problem attached.

A deal that sits in “Proposal” for months doesn’t just cloud your forecast. It steals capacity. Every hour a rep spends nurturing a flatlined opportunity is an hour not spent creating new demand, advancing real deals, or improving customer trust. Multiply that across a team, and you get the same symptom every quarter: missed numbers, reactive hiring decisions, and management time wasted on interrogations that create more friction than clarity.

The common response is predictable: more pipeline discipline. More required fields. More approvals. Longer forecast calls. More “updates.” That feels like control, but it’s usually just activity theater. It increases administrative drag and reduces selling time, exactly the opposite of what revenue management needs.

The fix is a mindset shift: move from intuition to evidence.

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