The High-Impact AI Wins You’re Probably Overlooking
Execs ask me how AI will change the future. I tell them: start with the parts of your business you avoid today.
Self-driving innovations, breakthrough forecasting, or personalized CX at scale.
Yes, they are important.
But after 13+ years of deploying AI across Fortune 100s, I’ve learned something surprising:
Some of the highest ROI from AI comes from the least glamorous parts of the business.
The stuff no one wants to touch. The tasks we ignore because they’re too tedious, too messy, or just too “back office.”
Let me show you two examples where AI quietly drives game-changing value without the hype.
Every Friday morning, I deliver 1 actionable insight to help you navigate the post-AI landscape, simplifying complex transitions into a clear path for business impact. You can click here to subscribe.
1. Data Cleansing: The Workhorse Behind the Wins
Imagine this: your CRM system lists "Coca-Cola" in ten different ways. Or "Robert Smith" is also logged as "Dick Smith" and "R. Smith" - all with the same birthdate but different emails.
Multiply that across millions of records… and you’ve got chaos.
It's a mess. And it’s costing you.
So, enter machine learning.
AI doesn’t just flag duplicates, it understands patterns, matches inconsistencies, and reconciles mismatched identities. It turns scattered, inaccurate data into a clean, unified source of truth.
It may not sound like a flashy breakthrough. But it’s what powers faster decisions, smarter analytics, and better business outcomes.
Clean data is your silent growth driver.
2. Building the Semantic Layer: Aligning the Business
Here’s where AI gets strategic.
Every BI project hits a wall when different regions or departments can’t agree on how to define a metric like “net sales.” Everyone speaks a different language, figuratively and sometimes literally.
By applying AI to create a semantic layer, you remove subjectivity.
AI helps reconcile these differences by analyzing patterns, contexts, and definitions across systems. So you can align KPIs across 8 regions and 32 channels without endless back-and-forth.
Suddenly, conversations that were once debates become decisions.
The best AI applications aren’t always flashy. They’re foundational.
While others chase shiny tools, the smartest organizations are solving root problems while building trust in their data and consistency in their decisions.
And that’s what truly sets them up to win.
Because when the basics are strong, every AI initiative, no matter how bold, has a better chance of success.
Where has AI delivered unexpected value in your organization?
Until then,
Sol
Every Friday morning, I deliver 1 actionable insight to help you navigate the post-AI landscape, simplifying complex transitions into a clear path for business impact. You can click here to subscribe.
Founder, AI Technology and Business Consulting Company, Living Tech - Currently hiring in Online and Social Tech Sales, Always hiring in AI Tech Dev
2wWonderful Insights! Shishir www.AI-forBussiness.com
Chief AI Officer | AI150 Top Execs leading AI Innovation Globally | Ex-JPMC, Oracle
2wThanks for sharing Sol Rashidi, MBA For your data cleansing example, what have you found the best step to include human oversight (human in the loop)? During initial tests, midway as a quality check, before changing in production systems, or perhaps all of these?
Talent Acquisition Manager – US IT Staffing | 16+ Yrs | VMS/ATS Delivery | Night Shift | Team Leadership
2wAs someone still early in my AI learning journey, I really appreciate how simply you’ve broken down such complex topics. It can often feel like information overload, but your clarity makes it easier to stay curious and keep learning. Thank you for sharing this! 🙌
Retired at *none
2wI have a small Etsy business but I’m using AI to write and rewrite my listings. It’s a boring, time consuming task that I’m glad to have hep with! And AI writes clear and concise descriptions! It’s a win win for me.
Sol Rashidi, MBA exactly! Sometimes we may overlook but these small changes add up. Filtering emails, syncing leads, and powering an internal chatbot so teams get answers fast. quite wins, but nonetheless important