Most Companies Are Looking for AI Value in the Wrong Places

The Gold Rush Mentality of AI

When people first arrived in California during the Gold Rush, many dreamed of finding a massive vein of gold that would make them wealthy overnight.

Most never did.

The people who consistently generated value often found smaller deposits. They worked steadily, focused on what was actually there, and accumulated results over time.

Organizations are approaching AI in much the same way.

Many are searching for a breakthrough.

An autonomous business process.
A revolutionary customer experience.
A game changing innovation that transforms everything at once.

Meanwhile, they are stepping over opportunities that create value every day.

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Why Leaders Often Look in the Wrong Places

When executives discuss AI, the conversation frequently begins with the biggest possibilities:

• What can we automate?  

• How can we transform our industry?  

• What entirely new products can we create?  

These are valuable questions.

But they are rarely where AI delivers its first or strongest returns.

The highest value AI initiatives are often far less dramatic.

They solve friction.

And friction exists everywhere.

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AI Creates Value by Removing Friction

The strongest AI returns typically come from making everyday work easier, faster, and more consistent.

Examples include:

• A proposal that takes two days instead of five  

• A support team that spends less time searching for information  

• A sales organization that prepares for meetings in minutes rather than hours  

• An operations team that analyzes data without manually assembling reports  

These examples may not generate headlines.

But they generate measurable value.

From a security perspective, friction removal can also reduce operational risk.

Repetitive manual processes often introduce delays, inconsistency, and human error. AI can help streamline those workflows while improving visibility and governance.

Practical Security Implementation Ideas:

• Use AI to summarize security alerts before analyst review  

• Automate compliance documentation and evidence collection  

• Apply AI to accelerate incident reporting and investigation workflows  

• Reduce manual data analysis across security operations  

Often, the greatest value comes from improving existing processes rather than reinventing them.

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Why Small Gains Create Large Returns

Business value compounds.

Saving fifteen minutes once has limited impact.

Saving fifteen minutes hundreds of times creates meaningful capacity.

Improving a single customer interaction may not be transformational.

Improving thousands of customer interactions changes the business.

This is where organizations frequently underestimate AI.

They search for dramatic transformation when they should be looking for repeated friction.

The value of AI often lies not in one major breakthrough, but in thousands of small improvements that accumulate over time.

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The Organizations Seeing the Greatest Results

The companies generating the strongest AI returns are not necessarily deploying the most advanced technology.

They are systematically identifying bottlenecks and removing them.

They focus on:

• Faster execution  

• Better customer experiences  

• Improved employee productivity  

• Increased operational capacity  

• Reduced complexity  

These gains compound over time.

The result is not just efficiency.

It is competitive advantage.

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The Hidden AI Opportunities Are Often Ordinary

Many of the highest value AI opportunities are hiding in plain sight.

Not because they are difficult to find.

Because they appear too ordinary to seem important.

Organizations often overlook repetitive tasks because they have become normalized.

Manual reporting feels routine.
Searching for information feels expected.
Repeated data entry becomes accepted as part of the job.

AI challenges those assumptions.

The question is not whether work has always been done a certain way.

The question is whether it still should be.

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How to Identify High Value AI Opportunities

Organizations seeking measurable AI value should start by identifying friction points across workflows.

Ask questions such as:

• What tasks consume significant time every week?  

• Where do employees repeatedly search for information?  

• Which processes require unnecessary manual effort?  

• Where do delays create operational or customer impact?  

The answers often reveal AI opportunities that are practical, measurable, and low risk.

Practical Security Implementation Ideas:

• Map repetitive security workflows and identify automation opportunities  

• Analyze incident response steps for delays caused by manual processes  

• Evaluate where AI can improve data visibility or accelerate investigations  

• Prioritize use cases with clear metrics for time saved and risk reduction  

Start with the ordinary.

That is often where extraordinary value is found.

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Final Thoughts

Organizations can become so focused on finding AI gold mines that they overlook AI gold nuggets.

Yet in business, enough gold nuggets eventually become a gold mine.

The future of AI value will not belong exclusively to companies pursuing the most ambitious initiatives.

It will belong to those that consistently remove friction, improve workflows, and compound gains over time.

Because the greatest AI opportunities are often not hidden.

They are simply overlooked.

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FAQs: Finding AI Value in the Enterprise

1. Why do many AI initiatives fail to deliver ROI?
Many organizations pursue large, transformational projects before addressing smaller, measurable opportunities. Without clear business outcomes, proving value becomes difficult.

2. What types of AI projects typically generate the fastest return?
Projects focused on repetitive tasks, reporting, documentation, analysis, and workflow acceleration often deliver measurable value quickly.

3. How can security teams identify high value AI opportunities?
Focus on areas with significant manual effort, high alert volumes, repetitive analysis, or compliance activities. These workflows often benefit from AI driven efficiency and improved consistency.