Original analysis on AI strategy for mid-market executives. Every claim is sourced and credibility-rated. No vendor pitches.
Five hours of hands-on training produces 144% higher trust and 79% regular AI usage. Three tools is the sweet spot — beyond that, overload sets in. The 5% invest 70% of their AI budget in people and workflows. The data on where humans make AI work.
Read →UPS saves $400M per year. JPMorgan prevents $1.5B in fraud. Citi reached 70% adoption across 182,000 employees. They share a pattern: they treated AI as a workflow redesign problem, not a technology purchase.
Read →AI agents now have access to codebases, APIs, production databases, and CI/CD pipelines. 88% of organizations report AI security incidents. The security model that worked for SaaS does not work for autonomous AI systems.
Read →AI delivers genuine value on specific tasks: autocomplete, testing, and documentation produce 25-35% speed gains. The challenge is that individual gains don't automatically translate to organizational improvement.
Read →Sixteen verified case studies across customer service, fraud detection, supply chain, predictive maintenance, and drug discovery. Each rated for credibility. The boring ML delivers the biggest returns.
Read →Organizations with strong change management report 88% AI project success rates versus 13% without. The technology works. The question is whether your organization is structured to capture the value.
Read →Coding assistants are a single-digit percentage of the total enterprise AI opportunity. Customer service, operations, legal, finance, and HR represent the categories where most organizations haven't started.
Read →I publish original research on AI strategy for executives. Analysis, not opinions. Data, not hype.
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