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I've shared a lot of these Deep Research reports with other forum members and I think it's been helpful so far. Occasionally, I'll come across a problem that sounds interesting, so here's what I'll do:
- Run it through Gemini's Deep Research function to do:
- A competitive analysis
- Comparison of the problem/solution against the CENTS framework
- How realistic it is to solve
- Identify challenges/opportunities in doing so
So without further ado:
Problem/Solution #1: AI Expense Fraud
Required reading: ‘Do not trust your eyes’: AI generates surge in expense fraud, or https://archive.ph/LMJ2V
The problem: "Businesses are increasingly being deceived by employees using artificial intelligence for an age-old scam: faking expense receipts.The launch of new image-generation models by top AI groups such as OpenAI and Google in recent months has sparked an influx of AI-generated receipts submitted internally within companies, according to leading expense software platforms.Software provider AppZen said fake AI receipts accounted for about 14 per cent of fraudulent documents submitted in September, compared with none last year. Fintech group Ramp said its new software flagged more than $1mn in fraudulent invoices within 90 days."
The solution: AI detection software for fraudulent receipts, which can be further segmented by industry, company size, region, or other risk analysis things like employee history, time with company, or other types of risk profiles.
See attached for the PDF report.
- Run it through Gemini's Deep Research function to do:
- A competitive analysis
- Comparison of the problem/solution against the CENTS framework
- How realistic it is to solve
- Identify challenges/opportunities in doing so
So without further ado:
Problem/Solution #1: AI Expense Fraud
Required reading: ‘Do not trust your eyes’: AI generates surge in expense fraud, or https://archive.ph/LMJ2V
The problem: "Businesses are increasingly being deceived by employees using artificial intelligence for an age-old scam: faking expense receipts.The launch of new image-generation models by top AI groups such as OpenAI and Google in recent months has sparked an influx of AI-generated receipts submitted internally within companies, according to leading expense software platforms.Software provider AppZen said fake AI receipts accounted for about 14 per cent of fraudulent documents submitted in September, compared with none last year. Fintech group Ramp said its new software flagged more than $1mn in fraudulent invoices within 90 days."
The solution: AI detection software for fraudulent receipts, which can be further segmented by industry, company size, region, or other risk analysis things like employee history, time with company, or other types of risk profiles.
See attached for the PDF report.
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