💡 “I’ve spent 5 years building something most companies are only starting to talk about.” Between 2020 and 2025, I developed what I now call The Olson AI Stack — a complete system that uses AI to find new customers, manage key accounts, and build strategic plans faster than ever before. It’s not software — it’s a repeatable sales operating system that blends AI, CRM, and human strategy into one framework. Over the past five years, this system has helped me: ✅ Cut prospecting time by 50% ✅ Achieve 95–98% CRM accuracy ✅ Automate multi-step outreach and follow-ups ✅ Build real-time customer maps and territory plans ✅ Coach teams with data instead of opinion What used to take hours now takes minutes — and the insights are sharper than ever. The real power isn’t just in speed — it’s in clarity. Leadership can see what’s happening across every loop, every customer, every touchpoint. AI didn’t replace my sales process — it rebuilt it. I’ve documented everything in two reports: 📘 AI-Enabled Business Development Stack (Internal Strategic Framework) 📗 The Olson AI Stack – Leadership Framework (External Leadership Edition) I’m considering sharing a short breakdown of how this framework works in real-world sales leadership — from prospecting to team development. 👉 Would you like me to post it here next week? #AIinSales #SalesLeadership #BusinessDevelopment #DigitalTransformation #CRM #AIStack #Leadership #B2B #SalesStrategy
I’ve been surprised how few teams have a true AI-sales operating system — not just tools, but repeatable workflows that actually drive outcomes. If anyone here’s built something similar — even partial — I’d love to compare notes on what’s working (and what’s not). What’s been your biggest friction point so far — data, adoption, or leadership buy-in? 👇
Business Development Director | Hydraulics • Machining • OEM Assemblies | OEM Growth & Margin Defense
1wHere’s the visual I mentioned — a quick snapshot of where sales and business development leaders actually are on the AI adoption curve in 2025. Most teams are still in the early or pilot stages — experimenting with CRM automation or AI-generated content. Only about 25–30% have reached true operational maturity, where AI supports every stage of business development from prospecting to forecasting. These percentages are drawn from 2024–2025 research by McKinsey, Salesforce, and Gartner, adjusted to reflect industrial and technical sales environments — not just SaaS. The right stack turns AI from a “buzzword” into a repeatable, data-driven process. Curious — where would you place your organization on this chart? 👇 If you’d like, I can share a short set of diagnostic questions — answer them honestly, and I’ll map where your team likely falls on the AI maturity curve. It’s always interesting to see how perception lines up with reality. @Gregg Eiles @Eric Miller @David Roghair @Steve Dabney @Nico Torres @Trevor O'Malley @Gerton Maurix — would love to hear your perspectives on how different teams are approaching AI integration and adoption.