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

Insurance
Traditional life underwriting takes weeks because of medical exams and manual review. Accelerated programs use data and algorithms to skip most of that.

Insurance
Insurance fraud detection AI looks for specific, data-driven patterns, not vague suspicion. The best models catch things adjusters cannot see.

Insurance
AI can identify policyholders likely to leave at renewal 90 days in advance, giving retention teams time to intervene.

Insurance
Policy renewal processing involves dozens of manual steps that automation can handle, cutting touchpoints from 25+ to under 5.

Insurance
AI customer service in insurance handles routine inquiries at scale, but the key is knowing when to hand off to a human.

Insurance
Insurance regulation varies wildly by state. AI tracks changes across all 50 states and flags requirements before deadlines hit.
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Insurance
Regional carriers are partnering with insurtechs rather than building claims technology in-house, and the results are reshaping competitive dynamics.

Construction
A 25-person commercial contractor can begin using AI tools for under $500/month, starting with estimation and scaling from there.

Construction
AI applied to equipment telematics data predicts mechanical failures 2-3 weeks before they happen, cutting unplanned downtime by 35-45%.

Construction
When 8 electrical subs bid a project, AI bid analysis tools compare scope coverage, pricing anomalies, and exclusion risks in minutes.

Construction
Managing dozens of subcontractors on a large project generates data overload. AI tools filter the noise and surface the coordination issues that matter.

Construction
AI submittal management tracks hundreds of submittals simultaneously, predicting approval bottlenecks and flagging items at risk of delaying procurement.
1,319 articles