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.
Due diligence
Why Every M&A Deal Needs an Independent Company Diagnostic
Seller materials tell a story optimized for the seller. Independent diagnostics uncover what the information memorandum does not mention.
Basel IsmailMar 13, 2026
Advisory
Why Business Coaches Need Better Company Data
Coaches working with small business owners often rely on the owner's narrative alone. Access to independent company diagnostics changes the coaching conversation entirely.
Basel IsmailMar 13, 2026
AI management
How Companies Are Managing Hybrid Teams of Humans and AI Agents
How organizations are building management frameworks for teams that include both human employees and AI agents, from escalation protocols to performance tracking.
Basel IsmailMar 13, 2026
AI agents
The Security Risks of Agentic AI and How to Mitigate Them
Agentic AI creates security problems that existing cybersecurity architectures were never designed to handle. Prompt injection, autonomous data access, supply chain attacks on agent skills, and the inability to enforce purpose limitations are all active threats in production systems today.
Basel IsmailMar 13, 2026
Enterprise AI
The Architecture of Enterprise-Grade AI Agent Platforms
Consumer AI tools and enterprise AI platforms solve fundamentally different problems. The gap between them is architectural. Building enterprise-grade AI is less about the model itself and more about everything surrounding it.
Basel IsmailMar 12, 2026
Data security
The EU AI Act and What It Means for Corporate AI Deployment
The EU AI Act becomes fully applicable in August 2026, establishing risk-based obligations that affect how companies deploy AI across Europe.
Basel IsmailMar 12, 2026
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Data security
How to Prevent AI Data Leakage Across Organizational Boundaries
Preventing AI data leakage requires strict data isolation, output filtering, and monitoring to ensure sensitive information stays within authorized boundaries.
Basel IsmailMar 12, 2026
Enterprise AI
Multi-Tiered Architecture for Enterprise AI Systems
Enterprise AI is not a single technology deployed uniformly. It is a spectrum that ranges from simple RPA bots handling structured data entry to cognitive agents making judgment calls to fully autonomous virtual employees managing entire workflows. The architecture that supports this range needs distinct tiers with different capabilities, governance models, and failure modes.
Basel IsmailMar 11, 2026
Automation
Why Automation Projects Stall and How to Get Them Moving Again
About 50% of RPA projects fail to scale beyond the pilot, and only 3% of organizations have successfully scaled automation enterprise-wide. The causes are organizational, not technical: poor governance, IT-business misalignment, unrealistic expectations, and inadequate change management.
Basel IsmailMar 11, 2026
Automation
The Automation Readiness Score and How It Works
Without a systematic way to evaluate which processes should be automated first, decisions get made by whoever argues loudest. An automation readiness score replaces that with structured evaluation.
Basel IsmailMar 10, 2026
Equity research
Cross-Sell and Upsell Engines That Actually Work
Amazon attributes 35% of revenue to recommendations. B2B companies are now applying similar AI-driven approaches, seeing 15-25% revenue increases from smarter cross-sell and upsell identification.
Basel IsmailMar 10, 2026
Equity research
Conversion Funnel Optimization With AI
Traditional A/B testing works slowly, one variable at a time. AI-driven funnel optimization tests dozens of variables simultaneously, with companies seeing 15-20% overall conversion rate improvements.
Basel IsmailMar 9, 2026
1,319 articles