Practical writing on AI, automation and the day-to-day work of running a business. From the team that builds and runs AI systems.

Altman z score
The Altman Z-Score flags financial distress from five ratios you can pull off any filing. Here is how to calculate it, read the trend, and screen with it.

Due diligence
The SEC has already fined companies for faking AI. A field guide for investors and acquirers: the questions, evidence, and red flags that verify AI claims.

Credit ratings
What actually goes into a Moody's, S&P, or Fitch rating: the scale, the key ratios, the committee process, and how to use ratings without outsourcing your judgment.

Trade data
Trade data shows the physical reality of supply chains, who ships what to whom, and it fills gaps that company disclosures tend to leave vague. Here is how to use it.

Dcf analysis
Tiny changes in DCF assumptions can swing a valuation wildly. Here is why that happens and how to use sensitivity analysis so the model works for you.

AI strategy
Per-seat, usage-based, and outcome-based AI pricing can price the same workload wildly differently. A buyer's guide to the math, hidden fees, and negotiation levers.
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Data quality
More data will not rescue an analysis built on bad numbers. Where financial data breaks, how errors compound through models, and the checks that catch them.

Market segmentation
Total market size is the number everyone quotes and the least useful for decisions. Here is how to build segments that show where the value actually sits.

Magic formula
How Joel Greenblatt's Magic Formula ranks stocks on earnings yield and return on capital, what the live results look like, and how to actually run it.

Due diligence
Acquirers now price AI maturity into deals. Here's what diligence teams examine, how tribal knowledge and messy data cost you at exit, and what to fix first.

Demographics
Population trends are the rare forecast input you can trust. How aging, migration, and generational spending shifts will move industry demand next decade.

Benjamin graham
Graham's intrinsic value formula uses two inputs to estimate what a stock is worth. It won't nail a fair value, but as a screen and sanity check it still earns its keep.
1,319 articles