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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!

AI Will Not Fix Sales Problems Built on Fragmented CRM Data

Most sales leaders are asking the wrong question about artificial intelligence.

They ask which AI tool to buy, which platform has the best features, which automation will save the most time, or which sales technology will help their reps move faster. Those questions matter, but they are downstream from the real issue.

The more important question is: Does your CRM provide AI with enough trusted context to make useful recommendations?

If the answer is no, the next tool will not solve the problem. It will accelerate the confusion.

AI cannot reason well from fractured data. If account history lives in email, proposal tools, LinkedIn messages, spreadsheets, call notes, support tickets, and half-completed CRM fields, the AI is not operating from a complete commercial picture. It is guessing from fragments. A faster guess is still a guess.

That is why the CRM must evolve from a passive system of record into an active system of action. The old CRM was built to store yesterday’s activity. The modern CRM has to help shape tomorrow’s decisions.

A strong CRM foundation gives sellers a complete account context before a call. It helps managers understand pipeline risk without relying only on rep opinion. It allows AI to recommend next steps because the recommendation is grounded in actual customer history, not generic sales theory. It gives the organization leverage because the patterns learned in one deal can improve the next similar deal.

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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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