Salient AI Insights
Articles on AI adoption, organizational change, employee capability and search measurement. Start with the question you need to resolve, then use the practical checks to decide what to examine in your own organization.
Latest thinking
AI consulting and integration
Stephen Lau explores when small businesses should buy, configure, connect or build software with AI—and who owns the result after the first demo.
Read the insight
Customer service
Stephen Lau looks at missed calls, phone menus and staff support—and how small businesses can test AI without losing the human help callers need.
Read the insight
Responsible AI
AI can make things up and act beyond your intentions. Stephen Lau explores why trust is difficult and how business owners can start with sensible limits.
Read the insight
AI consulting and integration
Explore 10 practical ways to use AI in your small business, from answering calls to drafting content. Start with one task and measure the difference.
Read the insight
AI consulting and integration
Stephen Lau explores ChatGPT dot, desktop AI and Computer Use—and what happened when AI opened Illustrator to edit his logo.
Read the insight
AI Marketing
Prepare your ingredients, make one sample, and build a repeatable process for creating, reviewing, scheduling and improving your social content.
Read the insight
AI Marketing
Another month of similar posts? Revisit your social media process, give your team better tools, and make each post serve a business purpose.
Read the insight
Responsible AI
AI can sound remarkably human without being alive. Learn how tokens, neural networks and AGI differ from consciousness—and why human accountability still matters.
Read the insight
Responsible AI
AI may not take every job tomorrow, but it is already changing the work. Workers need practice, and employers need an honest transition plan.
Read the insight
AI consulting and integration
A basic AI plan supports experimentation. Real integration gives suitable employees enough capacity, training and responsibility to change the work.
Read the insight
AI consulting and integration
AI adoption may be stalling at the keyboard. Dictation, practice, company knowledge and visible leadership can create the first useful working habit.
Read the insight
AI consulting and integration
AI transformation can stall despite licences and pilots. Leadership, incentives, trust and decision speed reveal the institutional gap.
Read the insight
AI consulting and integration
An AI-first startup begins with team design: a CEO who sets the standard, capable generalists and one AI lead who makes useful patterns repeatable.
Read the insight
AI for Marketing
Google's new reporting makes AI-search visibility easier to see. The useful question is whether that visibility creates qualified visits, calls, conversations and sales.
Read the insightExplore the system
A useful next step
If people have access to AI but their work has not changed, begin with adoption and integration. If experiments work but decisions stall, look at institutional lag. These are different problems and usually need different first steps.
For marketing teams, the search visibility guide separates exposure from useful visits and inquiries. For leaders and employees, the responsible AI articles explore accountability and changes to tasks without treating a prediction as a guaranteed outcome.