Where Liffey Stands on Commercial Strategy and AI
Brendan Hughes writes on commercial strategy, AI and where value leaks in a business. Each piece argues one position and shows the thinking behind it.
G2’s Top 15 Marketing Automation Platforms Earned Their Customers’ Trust, and Their Homepage Claims Put It at Risk
These 15 platforms earned their place at the top of G2 through what their customers said about them. On their own homepages, much of what they say about themselves undermines the trust those customers built for them elsewhere.
The Commercial Problem Beneath Confident Garbage
AI is helping everyone go faster. We've been working with our own AI engine on 37 leaks that were costing us trust, credibility and people's willingness to engage with us.
AI Made Us All Better Writers. It Is Making Us All the Same Writer.
LinkedIn has shipped a button for reporting AI slop, and it is the right call. It is also aimed at the cheap half of the problem. The expensive half is what ungrounded AI is doing to your voice, and to the decisions nobody ever publishes.
Your Customers Are About to Ask You to Prove It.
Software spend is being audited the way headcount always was. The companies that hold price will be the ones that can say what changes because they exist, and show the number. The same pressure is arriving on the vendor side as a reckoning over AI returns.
AI ROI Is Forcing a Commercial Reckoning
The boardroom question about AI has changed. It used to be where can we apply it. Now it is where is the return, and who is accountable for it. That second question is a commercial one, and it is the one most operating models cannot answer.
AI Deals Stall Because Nobody Owns the Outcome
AI deals rarely stall because the technology fell short. They stall because the commercial exchange is unclear. The moment the system does the work, the buyer stops purchasing a tool and starts purchasing a result.
The GenAI Divide Is an Operating-Model Problem
Enterprise AI adoption is high and enterprise AI return is not. The research puts the gap somewhere close to universal, and the dividing line has almost nothing to do with the models.
Your Team Is Using AI. The Business Isn’t.
Access to AI stopped being an advantage the moment everybody had it. What separates the companies seeing a return is where they put it: into commercial decisions, or into individual tabs.
The Full Method, Written as a Book
Sell Value. Win More. sets out the four-pillar Commercial Architecture behind this writing as a working handbook, with 30+ field-proven tools and the first-hand Ryanair story. Ask for it and it reaches you the day it ships.
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