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 Lab Order Management and Results Communication
Lab orders that fall through the cracks and results that sit unreviewed are liability risks and patient safety hazards. Automated systems now track every lab order from placement through result communication and follow-up action.
Basel IsmailApr 14, 2026
Construction
AI for Soil Condition Monitoring During Excavation and Foundation Work
Soil conditions during excavation often differ from geotechnical report predictions. AI monitoring detects changes in real time and adjusts foundation recommendations accordingly.
Basel IsmailApr 14, 2026
Insurance
How AI Handles Coordination of Benefits Between Auto and Health Insurance
When auto accidents cause injuries, figuring out which insurance pays what is surprisingly complex. AI automates the coordination of benefits between auto and health insurance coverage.
Basel IsmailApr 14, 2026
Accounting tax
Staff Training for AI Tools: What Works and What Creates Resistance
Most AI training fails because it focuses on features instead of workflows. Effective training shows how the tool fits into daily work.
Basel IsmailApr 14, 2026
Ecommerce retail
Automated Price Match Policy Enforcement Using Competitor Monitoring
Price match guarantees build customer confidence, but enforcing them consistently requires knowing what competitors charge in real time. AI monitors competitor prices and automates the price match process.
Basel IsmailApr 14, 2026
Logistics transportation
Automated Load Tendering and Carrier Acceptance Optimization
The load tendering process determines which carrier gets each shipment. AI optimizes tendering by predicting carrier acceptance probability and routing loads to carriers most likely to accept and perform well, reducing retendering cycles.
Basel IsmailApr 14, 2026
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Manufacturing
How AI Optimizes Batch vs Flow Manufacturing Decisions
Choosing between batch and flow production modes involves complex tradeoffs. AI evaluates setup costs, demand patterns, and capacity to recommend the optimal approach.
Basel IsmailApr 14, 2026
Law firms
Automated Client Reporting for Outside Counsel Management
Corporate clients want regular, detailed reporting from their outside counsel. AI automates report generation, giving clients better visibility without consuming attorney time.
Basel IsmailApr 14, 2026
Healthcare
How AI Automates Discharge Planning and Post-Acute Care Coordination
Discharge planning delays keep patients in hospital beds longer than medically necessary, driving up costs and reducing capacity. AI now predicts discharge readiness, matches patients to post-acute resources, and coordinates transitions automatically.
Basel IsmailApr 14, 2026
Construction
How AI Monitors Concrete Curing Conditions Using IoT Sensors
Concrete strength development depends on curing conditions. IoT sensors and AI analysis provide real-time monitoring that ensures concrete reaches design strength on schedule.
Basel IsmailApr 14, 2026
Insurance
Automated Claimant Communication Across Multiple Channels
Modern claimants expect to communicate through their preferred channel: text, email, phone, or web portal. AI manages multi-channel claim communication while maintaining consistency and compliance.
Basel IsmailApr 14, 2026
Accounting tax
Building Standard Operating Procedures That AI Can Actually Follow
Most SOPs are written for humans and full of ambiguity. AI needs precise, structured procedures with explicit data requirements.
Basel IsmailApr 14, 2026
1,319 articles