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

Law firms
Bankruptcy cases generate enormous volumes of proof of claim filings. AI tools help law firms review, categorize, and flag issues in these claims far faster than manual review allows.

Construction
Early budget prediction models are getting surprisingly accurate by analyzing historical project data, design complexity, and market conditions before construction even starts.

Insurance
How insurance carriers use drone and satellite imagery combined with AI to assess roof damage at scale after major storm events, cutting inspection timelines from weeks to hours.

Logistics transportation
Most fleet training programs are generic. Every driver gets the same modules regardless of their actual skill gaps. AI changes this by analyzing individual performance data to identify exactly where each driver needs improvement and delivering targeted training that actually moves the needle.

Ecommerce retail
Forecasting demand for a product that has never been sold before is one of the hardest problems in retail. AI approaches it by analyzing proxy signals that traditional forecasting methods miss entirely.

Company analysis
Individual reviews are unreliable. Patterns across hundreds of reviews are remarkably consistent indicators of company health, if you know how to read them.
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Company analysis
Technology choices compound. They determine how fast a company can move, how easily it can scale, and how vulnerable it is to disruption. If you're not looking at the tech stack, you're missing a critical dimension.

Artificial intelligence
Zero-trust principles applied to AI agents ensure every action is verified, every data access is logged, and no agent has unlimited privileges.

Artificial intelligence
Companies adopt AI in a predictable progression: task automation, specialized intelligence, and virtual AI employees. Each stage builds on the one before it.

AI agents
Single AI agents handling isolated tasks are already old news. The architecture that is reshaping enterprise operations in 2026 involves swarms of specialized agents coordinating autonomously, dividing complex workflows across parallel tracks, and reassembling results without a single human touching the process.

Advisory
Board-level company profiles require concise scoring, specific risk callouts, honest competitive positioning, and recommendations concrete enough to act on.

Accounting tax
Real estate brokerages handle millions in trust account funds. One reconciliation error can trigger regulatory action. AI keeps the numbers clean automatically.
1,319 articles