Field notes on AI in business
Practical writing on AI, automation and the day-to-day work of running a business. From the team that builds and runs AI systems.
Healthcare
Automated Patient Satisfaction Survey Analysis Using Natural Language Processing
Patient satisfaction surveys generate mountains of free-text comments that most practices never analyze systematically. NLP tools now extract themes, sentiment, and actionable insights from every response automatically.
Basel IsmailApr 7, 2026
Healthcare
AI for Home Health Agency Billing: OASIS Assessment Automation
Home health billing depends heavily on OASIS assessments that determine patient classification and reimbursement rates. AI now assists clinicians in completing accurate OASIS assessments while ensuring billing alignment.
Basel IsmailApr 7, 2026
Insurance
Automated Special Investigation Unit Referral Scoring for Fraud Detection
Not every suspicious claim warrants a full SIU investigation. AI scoring helps carriers route the right claims to investigators while letting legitimate claims proceed without delay.
Basel IsmailApr 7, 2026
Insurance
AI for Professional Liability Underwriting: Assessing Risk in Law Firms and Medical Practices
Professional liability underwriting requires understanding the specific risks of each practice. AI processes financial data, claim history, and practice characteristics to price coverage more accurately.
Basel IsmailApr 7, 2026
Insurance
How AI Underwrites Cyber Insurance Policies Using Real-Time Threat Intelligence
Cyber risk changes by the hour. AI uses live threat intelligence feeds to underwrite cyber insurance policies that reflect the actual current risk landscape rather than last quarter data.
Basel IsmailApr 7, 2026
Construction
Automated Drawing Revision Comparison and Change Highlighting
Manually comparing drawing revisions to find changes is tedious and error-prone. AI overlay tools highlight every modification between versions in seconds.
Basel IsmailApr 7, 2026
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Logistics transportation
How AI Handles Warehouse Labor Standard Setting Using Historical Productivity Data
Setting fair and accurate labor standards has always been contentious in warehousing. AI analyzes historical productivity data to establish standards that reflect actual conditions rather than theoretical ideals, making them both more accurate and more accepted by workers.
Basel IsmailApr 7, 2026
Logistics transportation
AI for Automated Sortation System Optimization in Parcel Hubs
Parcel hubs process millions of packages through automated sortation systems that need constant optimization. AI fine-tunes divert timing, manages throughput balancing, and predicts maintenance needs to keep sort rates at peak performance.
Basel IsmailApr 7, 2026
Logistics transportation
How AI Manages Cross-Docking Window Coordination Between Inbound and Outbound
Cross-docking eliminates storage by transferring goods directly from inbound to outbound trucks. The challenge is timing. AI coordinates tight arrival and departure windows so that product flows through the dock without backing up or sitting idle.
Basel IsmailApr 7, 2026
Ecommerce retail
AI for Fashion Trend Forecasting: What to Buy 6 Months Before the Season
Fashion buying decisions are made months before the selling season, with limited information about what customers will actually want. AI trend forecasting narrows the uncertainty gap significantly.
Basel IsmailApr 7, 2026
Ecommerce retail
How AI Handles Warehouse Labor Planning Based on Incoming Order Patterns
Warehouse staffing is either too much or too little, rarely just right. AI predicts incoming order volume with enough accuracy to schedule the right number of workers for each shift.
Basel IsmailApr 7, 2026
Ecommerce retail
Automated Product Compliance Checking for Regulated Categories
Selling regulated products online means navigating a maze of requirements that vary by jurisdiction. Automated compliance checking prevents costly violations before products go live on your site.
Basel IsmailApr 7, 2026
1,319 articles