
AI Tools for Sales Pros
AI Tools for Sales Pros is a practical podcast for B2B sales leaders and reps who want to use AI to sell better, not just talk about it. Hosted by Sean O’Shaughnessey, President of New Sales Expert, the show translates real sales execution into AI-enabled workflows you can actually deploy.
Each episode focuses on how to automate the busywork that steals time from selling: prospect research, CRM hygiene, sequencing, meeting follow-up, and forecasting. You’ll learn how to connect tools like ChatGPT and Google Gemini with your sales stack so you can move faster, show up better prepared, and run a more consistent process without adding headcount.
The point isn’t to replace salespeople. It’s to build an augmented seller:
- sharper on the account,
- tighter in the message,
- more disciplined in execution.
Because the machine handles the repetitive tasks and the human handles judgment, stakeholder navigation, and value selling.
If you want a peer group to pressure-test what you’re implementing, join the B2B Sales Lab at b2b-sales-lab.com. It’s a working community for sales pros who want practical feedback, shared playbooks, and real answers to real deals.
Subscribe to AI Tools for Sales Pros on Spotify or Apple Podcasts
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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…
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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…
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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…
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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.…
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Building a Zero-Cost AI Sales Stack: How to Validate Value Before You Spend a Dollar
Most sales leaders today feel the tension between innovation and fiscal responsibility. You know artificial intelligence can accelerate productivity, clarify messaging, and drive revenue generation. You also know your competitors are implementing AI-driven sales processes and reaping the benefits. Yet you are expected to somehow produce results without the budget to experiment, test, or validate…
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How AI-Powered Contact Enrichment Transforms B2B Sales Conversations
In today’s fast-paced B2B world, sales teams can no longer afford to waste hours gathering prospect data manually. Artificial intelligence has enabled the automation of contact enrichment, transforming basic contact records into comprehensive profiles rich in actionable business intelligence. Contact enrichment powered by AI doesn’t just make your team faster; it makes them smarter. By…
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Sales Management in the Age of AI: Aligning Marketing, Messaging & Revenue Generation
When it comes to modern B2B revenue generation, the conversation is shifting: it’s no longer just about cycle time or activity metrics, it’s about intent, predictive insights, and sharpening your approach to lead engagement. In this post, we unpack how artificial intelligence (AI) can reinforce your sales management discipline, refine your sales processes, and elevate…
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Value Selling at Scale: AI-Driven Qualification and Sales Management Strategies
In many B2B organizations, the marketing team generates a healthy stream of incoming leads, but the sales team struggles to keep pace. The result: qualified opportunities go cold, revenue generation stalls, and business acumen around lead management erodes. This is often caused by what I call the “qualification bottleneck”: when sales management and sales processes…
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The Future of Prospecting: Using Artificial Intelligence to Read Buyer Intent
The modern salesperson faces two extremes: total blindness or total overload. Some still cold call a list of fifty prospects hoping one will answer, while others drown in dashboards flashing with “intent data.” Both approaches fail because neither interprets what the data truly means. The future of sales management lies in balance — using artificial…
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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…
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Reclaiming Hours of Selling Time with AI – Lessons from MAICON 2025
You just checked your team’s dashboard. Activity looks fine. But deep down, you know that the numbers don’t tell the whole story. Every salesperson loses time to the same unseen burden: administrative drag. After each successful discovery call, there’s a 20-minute grind with CRM updates, email summaries, and internal handoffs. This “sales tax” cuts into…
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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…














