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.
Manufacturing
AI for Augmented Reality Work Instructions on the Shop Floor
Paper work instructions are static and hard to follow for complex assemblies. AI-powered AR overlays step-by-step guidance directly onto the work in progress.
Basel IsmailApr 22, 2026
Manufacturing
Automated Skill Matrix Management and Cross-Training Recommendations
Knowing which operators can run which machines is critical for scheduling flexibility. AI maintains skill matrices and recommends cross-training priorities based on production needs.
Basel IsmailApr 22, 2026
Manufacturing
How AI Handles Shift Scheduling to Minimize Overtime and Maximize Coverage
Manufacturing shift scheduling involves balancing labor costs, skill requirements, employee preferences, and labor regulations. AI finds schedules that satisfy all constraints simultaneously.
Basel IsmailApr 22, 2026
Manufacturing
AI for Digital Twin Simulation of Production Line Changes Before Implementation
Changing a production line is expensive and risky. AI-powered digital twins let you simulate changes virtually, testing throughput, bottlenecks, and resource needs before committing.
Basel IsmailApr 22, 2026
Manufacturing
How AI Monitors CNC Machine Coolant Quality and Predicts Replacement Timing
CNC coolant degrades gradually, affecting tool life and part quality. AI tracks coolant condition through sensor data and predicts the optimal replacement window.
Basel IsmailApr 22, 2026
Manufacturing
AI for Plastics Manufacturing: Automated Mold Temperature and Pressure Optimization
Plastics processing parameters interact in complex ways. AI continuously adjusts mold temperature and pressure profiles to minimize defects and cycle time simultaneously.
Basel IsmailApr 22, 2026
Get the next article by email
One short email when something new goes up. Practical, no fluff, written by the people who build.
Free. Unsubscribe any time. Privacy policy
Manufacturing
How Collaborative Robots and AI Work Together on Assembly Lines
Cobots handle repetitive tasks alongside human workers. AI makes them adaptive, able to adjust speed, force, and trajectory based on what the human partner is doing.
Basel IsmailApr 21, 2026
Law firms
AI for Cannabis Regulatory Compliance Across Changing State Laws
Cannabis law involves navigating a patchwork of state regulations that change constantly. AI helps law firms track regulatory developments and maintain compliance across jurisdictions.
Basel IsmailApr 21, 2026
Healthcare
Automated Insurance Discovery for Uninsured Patients With Coverage They Don't Know About
A surprising number of patients who present as uninsured actually have active coverage they are not aware of. Automated insurance discovery systems search payer databases to find coverage that patients themselves do not know they have.
Basel IsmailApr 21, 2026
Insurance
Automated Claims Recovery From Third-Party Tortfeasors
Subrogation recovery from at-fault third parties puts money back on the carrier bottom line. AI identifies recovery opportunities, calculates amounts, and manages the pursuit process at scale.
Basel IsmailApr 21, 2026
Construction
AI for Temporary Enclosure and Climate Control Planning During Winter Construction
Winter construction requires temporary enclosures and heating to maintain work quality and schedule. AI planning optimizes the enclosure strategy to balance cost, energy, and productivity.
Basel IsmailApr 21, 2026
Manufacturing
AI for Managing Consignment Inventory at Customer Locations
Consignment inventory means your product sits at the customer until they use it. AI monitors consumption, automates replenishment, and prevents the working capital trap.
Basel IsmailApr 21, 2026
1,319 articles