Expert with over 10 years of experience
Business Has Changed
It used to be that businesses relied on armies of knowledge workers for tasks like document processing, customer service, and data analysis. Teams of experts. Countless hours. Manual workflows.
This was how business operated.
And this has been completely transformed.
ChatGPT has rewritten the rules of business operations. What took teams of people now takes minutes with proper AI implementation.
But there's a catch.
Most companies use ChatGPT like a fancy chatbot. They're missing the true transformation: deep integration with business processes. Automated workflows. Intelligent operations. Enterprise-wide deployment.
What's left is the difference between basic ChatGPT users and companies that have implemented it properly at scale. The gap is widening every day.
My Journey with AI
I started with AI back in 2013, Ppredicting demand and stocks for a major retail company.
Hundreds or thousands of rows points per seconds, doing what no human could possibly do.
Later I found myself working with MIT, and with market leaders around the globe.
So many industries. Cancer detection. Retail. Transportation. Collaboration with governments. Pushing boundaries with tech giants and well-funded startups.
The results were not just faster, but better - sometimes over 250% above human performance.
Back then, AI was expensive. Complex. Reserved for the few. And possibilities endless.
Then ChatGPT happened. And everything exploded.
What was already a universe of possibilities became infinite. Customer service. Process automation. Decision-making. Everything changed overnight.
Suddenly, the power that was reserved for tech giants became accessible to everyone. Even small companies are automating entire workflows, processing thousands of documents in minutes.
The ones that aren't, either adapt or become irrelevant. There's no middle ground anymore.
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Market Experience
Carlsberg
Retail
Challenge: Bar and restaurant owners lack real-time insights to optimize sales and inventory. They need to anticipate local events, track emerging trends, and prevent stock issues - all while managing day-to-day operations.
Solution: Developing the data strategy for an insights platform that transforms raw data into actionable intelligence. The system monitors local events (sports, festivals, conferences), analyzes purchasing patterns, and delivers automated alerts. Owners receive comparative data from similar venues and predictive stock recommendations, all through an intuitive dashboard.
MIT, Government of Singapore, Comfort
Government and Transportation
Challenge: Singapore's dynamic events - from Formula One to cultural festivals - create complex transportation demand patterns. Traditional scheduling can't handle these irregular flows, leading to service gaps and resource waste.
Solution: Development of a system capable of predicting demand based on event types and predicted attendance from different demographics. This demand prediction allows the government to optimize their resourches, and communicate increased demand to the taxi companies, if necessary.
Confidential
Health and Insurance
Challenge: Assessors struggle to efficiently process diverse medical documents (reports, specialist notes, claims) to determine insurance coverage. Manual review is slow, inconsistent, and error-prone, creating processing backlogs and claim disputes.
Solution: Built an AI system using LLM technology, like ChatGPT, that transforms medical documents into structured data through prompt engineering. It automatically extracts conditions, maps treatments to policies, and flags coverage issues - all within their secure infrastructure. Processing documents in English, it maintains consistent decision criteria while handling hundreds of cases hourly.
Confidential
Health Clinic
Challenge: Therapists need to convert consultation notes into government-standard reports for support recommendations. Privacy requirements are strict: no data can leave secure systems, yet the documentation burden is immense.
Solution: Developing a secure AI assistant using custom LLMs (advanced language technology like ChatGPT) that stays completely within their systems. It transforms conversation notes into structured reports while maintaining total privacy. This cuts report writing time by 70% while ensuring thorough documentation for government support cases.
