Stanley Loh

Delighting a customer is the greatest form of marketing vitality

Move like a builder Speak like a leader Act like a winner You are building believe

AI isn’t a side project—it’s a capability. Treat it like product. Start small, stay focused, think long-term. If you’re setting up an AI strategy in your company, I’d love to hear how you’re doing it. Let’s swap notes.

9. Educate your org. Run workshops. Share wins. Explain why you’re using AI, not just what. Culture eats strategy for breakfast—even AI strategy.

8. Create an “AI flywheel.” The best strategies are self-reinforcing: •AI creates value •That value creates more usage •More usage = more data •More data = better AI Build the loop, and feed it.

7. Make AI part of the workflow. AI isn’t magic—it must drive decisions or automate action. Connect it to: •Business dashboards •Internal tools •Customer-facing apps Invisible AI = useless AI.

6. Prototype fast. Learn faster. Start with a minimum viable model (MVM). Deploy it, test it in the real world. Collect feedback, refine. This loop is more important than perfection.

5. Assemble the right team. You don’t need an army of PhDs. You need: •A domain expert •A data engineer •A product-minded ML lead •A business champion Bonus: Use fractional/consulting help early on.

4. Pick one use case with a short feedback loop. Ideal first projects: •Reduce fraud •Automate manual classification •Predict failures in machines or logistics You want something that shows value fast.

3. Build a data foundation. AI is only as good as the data you feed it. Focus on: •Clean, labeled, accessible data •Data ownership and governance •Real-time vs batch pipelines Garbage in = garbage out.

2. Map your AI maturity. Which stage are you in? •Stage 0: No data, no infrastructure •Stage 1: Data collection, dashboards •Stage 2: Predictive models, automation •Stage 3: AI integrated into workflows Don’t skip stages. Crawl → walk → run.

1.Start with the problem, not the model. Don’t chase hype. Ask: •What manual processes waste time? •Where do we bleed money? •What decisions could be better with data? Your first use case is hidden in your pain points.

Most companies want to “do AI” — but 90% have no real strategy. Here’s a simple, actionable framework to build an AI strategy that actually drives business results: (A thread for founders, execs & tech leaders)

Power is in the restraint. In the discipline to keep your mouth shut when your ego is begging you to speak. This is the game where most people will never master. Because silence requires control and control is the highest form of strength.

Two critical principles for achieving success. Have a burning desire and eliminating fallback options. - absolute commitment and unwavering focus - removing the option to retreat or give up #SuccessMindset #ThinkAndGrowRich

An AI agent are transforming the way we work and live - automating tasks, enhancing decision-making, and redefining industries. #AI #automation #innovation

“It’s all chance or destiny. And our wayward footsteps are best planted without too much calculation. “ Winston Churchill

Good Morning. Let’s get going! 💪