FirmAdapt

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.

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AI agents

How AI Agents Handle Exceptions and Edge Cases

AI demos always work perfectly. Production is different. Real-world data is messy, user requests are ambiguous, external APIs go down, and edge cases appear that nobody anticipated during development. The difference between a demo-ready AI agent and a production-grade one comes down to how it handles the things that go wrong.

Basel IsmailApr 11, 2026

AI agents

How AI Agents Learn and Improve From Every Interaction

How AI agents use feedback loops, reinforcement learning, and pattern recognition across thousands of interactions to continuously improve their performance.

Basel IsmailApr 11, 2026

Manufacturing

AI for Glass Defect Detection: Scratches, Bubbles, and Inclusions

Glass products demand near-perfect clarity. AI vision systems catch bubbles, seeds, scratches, and inclusions that would be missed in high-speed production.

Basel IsmailApr 10, 2026

Accounting tax

AI for Goodwill Impairment Testing: Automating Annual Assessments

Annual goodwill impairment testing is a resource-intensive requirement that many firms handle reactively. AI can streamline the quantitative analysis while preserving the professional judgment that matters.

Basel IsmailApr 10, 2026

Law firms

AI for Sanctions Screening in International Law Practice

Sanctions compliance requires screening every party in international transactions against constantly updated lists. AI performs this screening faster and more accurately than manual methods.

Basel IsmailApr 10, 2026

Healthcare

How AI Optimizes Operating Room Scheduling and Utilization Rates

Operating rooms are the most expensive real estate in a hospital, and every minute of unused OR time represents lost revenue. AI scheduling systems now maximize utilization by predicting case durations, optimizing block schedules, and filling gaps dynamically.

Basel IsmailApr 10, 2026

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Construction

How AI Handles Value Engineering Analysis During Preconstruction

Value engineering is supposed to optimize cost and performance. AI makes it more systematic by analyzing every component for cost reduction opportunities without sacrificing quality.

Basel IsmailApr 10, 2026

Insurance

AI for Insurance-Linked Securities: Catastrophe Bond Pricing Models

Catastrophe bonds transfer disaster risk to capital markets. AI enhances the catastrophe modeling that underpins these securities, producing more accurate pricing for both sponsors and investors.

Basel IsmailApr 10, 2026

Ecommerce retail

AI for Customer Address Verification and Delivery Failure Prevention

Delivery failures from bad addresses cost money and frustrate customers. AI validates and corrects addresses at checkout, catching errors that basic validation misses.

Basel IsmailApr 10, 2026

Logistics transportation

Automated Bond and Customs Duty Calculation for International Shipments

Customs duties and bond requirements for international shipments involve complex tariff schedules and trade regulations. AI automates these calculations, reducing the risk of underpayment penalties and overpayment waste.

Basel IsmailApr 10, 2026

Manufacturing

How Computer Vision Inspects Textile Quality at Production Speed

Textile defects like dropped stitches, color variations, and weave irregularities are hard to catch manually at production speed. AI vision systems inspect every square meter continuously.

Basel IsmailApr 10, 2026

Accounting tax

How Firms Automate Lease Accounting Compliance Under ASC 842

ASC 842 put operating leases on the balance sheet and created ongoing compliance headaches. Automation handles the calculations, journal entries, and disclosure requirements so your team can focus on advisory.

Basel IsmailApr 10, 2026

1,319 articles