Writing
Practical insights on sales execution, AI enablement, and revenue operations. No theory, no fluff.
What AI Actually Reads About Your Company
On June 12, Google published the Open Knowledge Format, the clearest signal yet of what AI systems read about a business. What it means for your AI search visibility and your reps' AI, plus a six-step knowledge base starter you can build this quarter.
Read more →What Does Your AI Tool Know About Your Business?
Most AI tools write generic work because they do not know your business. Organize your company knowledge into one reusable file, then turn it into a useful outcome.
Read more →AI Without Leaking Your Data to Competitors
Two B2B owners asked the same thing last week: can my team use AI without my customer list reaching my competitors? The plain setup, one worked example, and a one-page policy you can copy.
Read more →How to Become More Efficient With AI: A 15-Minute Self-Audit for B2B Owners
A few owners asked the same question this week. Here is the honest answer, two daily habits, and a free 15-minute audit that builds the plan for you.
Read more →AI Sales Workflow Governance: Trust and Accountability in Automated Selling
AI handles research and workflow. A human owns every decision that reaches a buyer.
Read more →AI SDR Deployment Failures: Why Agent-Based Prospecting Is Not Replacing Humans Yet
Agentic prospecting has shipped. Adoption is failing. Here is why.
Read more →Where AI Actually Fits in Complex B2B Sales: A 2026 Field Guide for Owners Who Already Tried It
You bought the tools. You expected to scale output, cut admin, and free your team to sell more. None of that happened. This is what came next.
Read more →Why AI Sales Tools Are Not Working (And What To Do About It)
If you adopted an AI sales tool and it didn't move the needle, you are not alone. Here is what happened.
Read more →73% of Buyers Avoid Sales Reps Using AI Outreach
A Deloitte study asks 1,000 B2B buyers what they do when they detect AI-generated outreach. The answer: they run.
Read more →The Automation-Trust Gap: Why Speed Without Review Kills Trust
Speed and trust are treated as separable. They are not. A buyer feels the difference between human judgment and bot-scale in 12 words.
Read more →Build an Irreplaceable Revenue Organization in the Age of AI
Most AI implementations fail because the strategy is additive, not integrated. Here is how to build a revenue org that cannot be replaced.
Read more →AI Search Visibility Playbook: Get Found by ChatGPT, Claude, Perplexity, and Gemini
ChatGPT now has 200 million users. Claude is growing. Perplexity is a top 100 website. If buyers are asking AI, make sure it recommends you.
Read more →Does Fractional Sales Leadership Make Sense for Your Company?
The case for fractional (and when it doesn't fit).
Read more →The AI Adoption Paradox: More Tools, Slower Deals
Companies that adopt the most AI tools often see the slowest deal velocity. Here is why.
Read more →When the Calendar Opens Up: Selling Into Your Own Transition
A sales leadership transition creates a high-signal window. Here is how to use it.
Read more →Seven Trust Truths AI Can't Replace
Trust is built on seven mechanisms. Only one can be automated. Here are the six that require humans.
Read more →How AI Agents Find Businesses on the Web
AI agents finding businesses via AEO and GEO optimization
Read more →What B2B Buyers Really Want From AI: Autonomy, Not Noise
Buyers asked for AI to give them autonomy. They are getting noise instead.
Read more →How to Set Up AI for Booked Discovery Calls (Without the Spam)
AI can set discovery calls. Most implementations skip the human review step that turns calls from noise into qualified conversations.
Read more →Human Above the Loop: Why AI Needs Decision-Making Authority, Not Output Authority
The phrase "human in the loop" is correct. But the architecture is usually backwards.
Read more →The 60-Second Research Cycle: How AI Changes B2B Prospecting
Research used to take a day. Now it takes 60 seconds. This change is invisible in most B2B sales orgs.
Read more →AI and Buyer Confidence: Why Activity Metrics Are the Wrong Compass
Volume metrics encourage AI adoption. They also wreck buyer confidence. Here is the trade-off.
Read more →AI Sales Message Accountability: Your Name, Your Words, Your Risk
Every message sent under a rep's name is the rep's responsibility, regardless of who drafted it.
Read more →Revenue Root-Cause Self-Diagnosis: The 12-Question Playbook
Pipeline is stuck. Before you hire, buy, or reorganize, ask these 12 questions.
Read more →The Revenue Credibility Scorecard: Diagnosing Your Sales Process Blind Spots
A sales process only works if buyers trust it. Here is how to audit trust and find where it breaks.
Read more →Protecting Pipeline Through Team Change: A Six-Week Stabilization Playbook
Sales leadership transition + team instability = pipeline collapse. Here is how to prevent it.
Read more →Revenue Reclamation: Converting Admin Work to Commission
Most sales teams have 20 percent to 30 percent of reps' time trapped in admin. Here is how to take it back.
Read more →B2B Revenue Execution Spring Cleaning: 40 Hours to Fix Everything
Your sales process is broken in four places you can fix. Here is the checklist.
Read more →MEDDIC Sales Qualification and the Four Traps That Wreck Predictable Revenue
MEDDIC is a framework. These four failure modes turn it into a paperwork exercise.
Read more →AI Agents and Revenue: When Smart Gets in the Way of Sold
An agentic architecture sounds like the future of sales. For B2B, it might be a step backward.
Read more →The Research-Outreach Cycle: How B2B Reps Actually Work
The sales process diagram misses the real day of a B2B rep. Here is what actually happens.
Read more →What B2B SMB CEOs Actually Want From AI in Sales
Founders told us. Here is what they are actually trying to achieve.
Read more →5 AI Revenue Tactics: How to Deploy AI Into B2B Sales Without Breaking Trust
Most AI implementations fail because they prioritize automation over human judgment. Here is how to reverse it.
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