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
AI for Cardiology Practice Revenue: Capturing Missed ECG and Holter Monitor Charges
Cardiology practices routinely leave money on the table by failing to capture charges for interpretive services like ECGs and Holter monitor readings. AI systems now identify these missed charges automatically.
Basel IsmailApr 12, 2026
Law firms
Automated Legal Knowledge Management: Finding Internal Precedent and Work Product
Law firms create enormous volumes of valuable work product that is often impossible to find later. AI-powered knowledge management makes internal expertise searchable and reusable.
Basel IsmailApr 12, 2026
Construction
How AI Generates Competitive Analysis Reports for Target Market Identification
Understanding which construction market segments offer the best opportunity requires analyzing competitor activity, project pipeline, and market trends. AI makes this analysis systematic.
Basel IsmailApr 12, 2026
Insurance
How AI Streamlines Surplus Lines Tax Filing Across Multiple States
Surplus lines tax filing is a compliance headache that touches every non-admitted policy. AI automates the calculation, documentation, and filing process across all 50 states and territories.
Basel IsmailApr 12, 2026
Ecommerce retail
Automated SEO Monitoring for Product Pages Across Thousands of SKUs
Monitoring SEO performance for a handful of product pages is manageable. Doing it for thousands of SKUs across multiple search engines requires automation that catches ranking drops and optimization opportunities at scale.
Basel IsmailApr 12, 2026
Logistics transportation
AI for Managing Foreign Trade Zone Admission and Withdrawal Documentation
Foreign trade zones offer significant duty savings, but the documentation requirements for admission and withdrawal are detailed and error-prone. AI automates FTZ record-keeping, ensuring compliance while maximizing duty advantages.
Basel IsmailApr 12, 2026
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Artificial intelligence
Building a Business Case for AI Transformation
AI transformation requires executive buy-in. Building a strong business case means quantifying the cost of the status quo, projecting realistic ROI, and designing a phased approach that manages risk.
Basel IsmailApr 12, 2026
AI agents
Integrating AI Agents With Existing Enterprise Software
Every enterprise runs on a stack of software that was built, bought, and customized over years or decades. AI agents that cannot work with them are not useful, regardless of how impressive their language capabilities are.
Basel IsmailApr 12, 2026
Artificial intelligence
Why AI Transformation Needs Executive Sponsorship to Succeed
AI transformation projects with active executive sponsorship are 3x more likely to succeed than those driven bottom-up by IT departments alone.
Basel IsmailApr 12, 2026
Automation
HR Onboarding Automation From Offer Letter to First Day
The average onboarding process involves over 50 manual tasks across HR, IT, Finance, and Facilities. Automation reduces onboarding time by up to 90%, cuts data entry errors from 8% to near zero, and lets HR focus on the human elements that matter.
Basel IsmailApr 12, 2026
Advisory
Technology Roadmapping for AI-First Organizations
A technology roadmap for AI-first organizations balances near-term automation wins with long-term infrastructure investments for sustained competitive advantage.
Basel IsmailApr 12, 2026
Artificial intelligence
How to Measure Whether Your AI Investment Is Actually Working
Measuring AI success requires tracking operational KPIs, not just technology metrics. Process time, error rates, cost per transaction, and employee satisfaction all matter.
Basel IsmailApr 12, 2026
1,319 articles