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

Accounting tax
Construction accounting is a different animal. Percentage-of-completion, change orders, retainage, and job cost allocation make it one of the hardest industries to automate. Until now.

Healthcare
ED volume fluctuates unpredictably, leading to either overstaffing costs or dangerous understaffing. AI prediction models use historical patterns, weather, local events, and disease trends to forecast patient volume hours in advance.

Insurance
Medical bill padding in personal injury claims costs carriers billions annually. AI detection systems analyze treatment patterns, provider behavior, and referral networks to flag suspicious billing.

Construction
AI tools are automating landscape material takeoffs by reading site plans and planting schedules, saving landscape contractors hours of manual counting and area calculations.

Law firms
AI patent search tools scan millions of documents across global databases to find prior art that traditional keyword searches miss, improving patent prosecution outcomes.

Logistics transportation
When a fleet vehicle is involved in an incident, piecing together what happened is slow and expensive. Multi-camera dashcam AI automates the reconstruction process, turning raw video into a detailed timeline that insurance companies and attorneys can actually use.
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Ecommerce retail
Some products explode on social media seemingly out of nowhere. AI can analyze the patterns behind viral products and identify which items in your catalog have the highest potential for social media momentum.

AI agents
AI agents with autonomous access to business data create new privacy risks that require zero-trust architecture and strict governance.

AI agents
A detailed breakdown of total employment costs versus AI agent fees, including the hidden expenses on both sides and where each option makes financial sense.

Artificial intelligence
Airlines figured this out decades ago. Now AI-driven dynamic pricing is moving into B2B, SaaS, and professional services, with companies seeing 2-22% revenue lift depending on their industry.

Automation
Process improvement works within existing structures. Re-engineering starts from a blank page and asks what the process would look like if you designed it today with no legacy constraints.

AI agents
Three frameworks dominate the AI agent landscape in 2026, each built around a fundamentally different design philosophy. LangGraph uses graph-based orchestration, CrewAI uses role-based abstraction, and AutoGen uses conversation-based coordination. The right choice depends on your team, your workflows, and how much control you need.
1,319 articles