How I Help Clients Win with AI [Guide for Leaders]

I was talking to a client and thought I would share with you in today’s edition. Today’s newsletter is a guide for leaders to follow to increase your odds of winning with AI.

I added content, news, and resources about AI tools spotting errors in research papers, 10 YouTube channels for learning AI, and the NPC ladder.

In today’s edition:

• AI Roundup— From Non-Player Character to Player Character

• Dive Deep Drill— How I Help Clients Win with AI [Guide for Leaders]

• Build Together— Here’s How I Can Help You

AI Roundup

I found these resources, content, and news this week.

— [news] AI tools are spotting errors in research papers
— [content] A Software Engineer's Guide to Reading Research Papers
— [resource] 10 YouTube channels for learning AI

— [content] From Non-Player Character to Player Character

My thoughts on [LinkedIn]

— [news] Ashwini Vaishnaw launches AI Compute Portal, 9 times larger than DeepSeek.

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Dive Deep Drill

How I Help Clients Win with AI [Guide for Leaders]

As a leader, decision-maker, or product manager, you’ve likely heard plenty of hype about AI.

Exciting promises don’t tell you what to do next.

When I work with clients, I cut through the noise and focus on what matters:

• figuring out if their business is ready

• making sure AI delivers real wins

Here’s how I do it and how you can start today with clear, simple steps.

1 - Know What You Want

I begin by helping clients pinpoint their goals.

Instead of chasing trends, I tie AI to what they need.

Write down one thing you want AI to fix, such as speeding up customer service.

Before moving forward, do 2 things:

• Ask your AI engineering team if they agree it’s a priority

• Align everyone on that goal

2 - Check Your Data & Infra

I looked at a client’s data to see if it’s ready.

One energy sector client had messy, scattered info, they didn’t have the infrastructure to run ML systems.

We sorted the infra (data engineers are important) and data so the model could use it.

Remember, garbage in, garbage out.

Open my AI Readiness Assessment and calculate your score.

It also contains Data Readiness questions.

Score your data from 1-5: Is it neat? Complete? Easy to find?

If it’s below 3, list your data sources in a spreadsheet.

Note what’s there and what’s missing.

3 - Look at Your Tools and People

2 Major Barriers in AI Today:

1. Estimating and demonstrating AI value

2. Lack of talent/skills

I review what clients already have.

Estimated and demonstrated to them how AI will help their business.

One needed faster tech, so we switched to a better system, and AI ran smoothly.

I also help teams learn since 42% of people worry that AI will take over, which is not true. [AI Training for Teams] solving the 2nd barrier.

AI is an amazing assistant for you and me.

I created the AI Maturity Assessment Checklist, You can check your score and reply to this email if you have questions related to it.

Ask: “Can my tech handle AI?” and “Does anyone know data basics?”

There is a term called “Vibe Revenue“

People are buying AI products out of FOMO, even if they do not solve an actual problem.

4 - Get Your Team On Board

I’ve seen projects stall when teams resist.

While 64% trust AI more than their boss, fear holds them back.

I start small, like speeding up reports, and keep data safe with clear rules.

• Email your team: “What’s one job AI could make easier?”

• Test their idea in a small project.

• Write a short rule, like “We keep customer info private,” to stay on track.

5 - Figure Out the Money

I show clients what they’ll spend and save.

A healthcare team we helped for clinical trial outcome prediction cut process time in half with AI, with no extra hires needed.

In the AI Readiness Assessment Score, guess your AI budget.

• Say $10K for AI consultant/tools.

• Pick one win, like saving 10 hours a week ($500 value).

• Compare costs and gains to see if it works.

Conclusion:

Track the Wins, which will be these 2 things:

• cutting down time

• saving money

AI will help in both.

I keep checking after the AI starts.

My tools help you measure and grow.

Choose one thing to track, like how long a task takes.

Note the “before” time (say, 2 hours) and aim for less (1 hour) with AI.

This is the best way to test your ideas fast.

Until next edition.

See you!

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Paper Unfold

A series in which you will get a breakdown of complex research papers into easy-to-understand pointers. If you missed the previous ones:

• AI Agents for Computer Use [Paper Unfold]

• Future Of AI - Large Concept Models [Paper Unfold]

• DeepSeek-R1 - A Step Towards AGI [Paper Unfold]

• Agents are Not Enough [Paper Unfold]

• Attention Is All You Need [Paper Unfold]

PS: Reply to this email if you want me to write on the topic you are interested in.