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Mastering AI Success in Sales | Software Sales Simplified

A return visit to 

Software Sales Simplified.

Executive Summary

Kevin Donville and Matt Long told me I was the first return guest in the history of Software Sales Simplified, which felt fitting, since Matt and I first met 26 years ago selling dot-com solutions. That's the comparison I kept coming back to: today's AI conversation sounds a lot like the dot-com conversation of the early 2000s. Everyone put a dot on everything, most of the promises fizzled, and the few that stuck changed how we work. To cut through the noise, I evaluated 158 AI tools for sellers, not to crown a winner but to sort out which problems AI should solve and where people need to stay at the center of the sales cycle.

Part of that is remembering what AI actually is. It's the grandchild of the spell checker in my late-'90s word processor: bigger data sets and faster computers predicting the next most likely word. It can sound empathetic, but it isn't taking anyone's perspective. Salesforce's State of Sales research says about 71% of a seller's time goes to work that isn't in front of a customer, and that data wrangling is exactly where pattern-matching tools shine. Hand it the research and the CRM updates, and show up to the first meeting already knowing the five things that matter about the buyer.

It still gets things wrong about 15% of the time, which is why I told the Chicago Bell Garden story again. Someone's prospecting bot decided my four-chair rooftop balcony was a hot new Chicago restaurant, and my door filled up with vegan cookies, kimchi, and 120 pounds of steak rub. A small mistake for me; an expensive one at scale. Keep a human in the loop, and start with governance: name the business problem first, then pick the tool, then train people on the rules of the road. We also talked about a company I advise that turned its lone Vienna-based sales engineer into a virtual coach for its new Chicago team, so they get most of their answers without a 4 a.m. call.

We closed on ethics, where the law is still a patchwork: the EU's AI Act, Tennessee's ELVIS Act, Illinois on biometrics, California on disclosing bots. My rule of thumb is simple. If it doesn't feel right, it's probably about to be illegal, so tell people when they're talking to a bot and keep the important decisions with humans. The full playbook, role by role across the sales team, is in The AI Handbook for Sales Professionals.

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