A Technical MVP Isn’t a Product. It’s a Bet That One Exists.
What happens when AI lets you build faster than you can decide what you’re building.
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How One Blue Became Four Blues (and What That Costs You)
Why keeping your product consistent matters more now that decisions happen faster with AI.
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The AI Performance Triangle: Why Every Company’s Results Look Different
Understanding the Quality-Speed-Cost trade-offs that make AI “success” impossible to standardise.
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You don’t have a knowledge base. You have a filing cabinet.
You pointed your AI at SharePoint and now it’s confidently wrong. Why? Because you don’t have a knowledge base. You have a filing cabinet. And until you understand the difference between a document repository and a KMS, your AI project is retrieving the wrong things, faster, at scale, with confidence.
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The $15 Billion Rebrand: Why Our Revolutionary AI is 25 Years Old
I attended a Genesys partner conference recently. The presentation deck and speakers were impressive. They talked about their platform evolution, moving beyond CCaaS to become a full orchestration platform. They dropped every AI buzzword: A2A (agent-to-agent), MCP (Model Context Protocol), agentic workflows, AI Agents, multi-modal AI experiences. Then they shared some real-world use cases. Transcription…
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The Tool Won’t Change You. The Moment Will
Why AI adoption has nothing to do with access, and everything to do with the one experience that changes everything.
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From Ready to Running: Your 6-Week AI Pilot Playbook
Six weeks from assessment to working AI pilot. Not perfect. Working.
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Your Best Users Are Your Worst AI Pilot Group
Your AI pilot is probably going to stall or fail. Not because the technology doesn’t work. Not because your team isn’t capable. But because you chose 50 SME power users as your pilot group. Here’s what actually happens: The fix is counterintuitive: Pilot with your typical mainstream users. The ones asking the same 20 questions…
