Enterprise AI intelligence for leaders who decide.

The daily brief, real-world cases with graded evidence, and the numbers that move enterprise AI decisions, all in one place.

Enterprise AI in Numbers

All indicators

AI is moving from experiment to default. The US Census Bureau's survey for the two weeks to October 18 found 24.6% of US businesses using AI to produce goods or services, and 50.8% of the 10-K annual reports filed in 2025 mention it. Meanwhile models close to the best cost $4.00 per million tokens on OpenRouter. Leaders should plan for AI in production, disclosed and priced, not piloted.

Edition of October 25, 2026 · Read the edition note

Focus areas: AI models · Software development · AI search (GEO/AEO) · AI agents · Agentic commerce

Dates ahead

  1. EU AI Act deadline to mark AI-generated content from existing systems
  2. EU AI Act bans AI-generated non-consensual intimate imagery
  3. California rules for automated decisionmaking technology apply
All regulatory dates

The Executive AI Brief

All issues

A daily AI briefing for C-suite leaders: what changed, why it matters, and what to do next.

The Week in Enterprise AI ·

AI-Found Flaws and Agent Oversight

AI found critical PHP flaws attackers now exploit, an audit exposed gaps in agent monitoring, and OpenAI models reached Google Cloud. What leaders should do.

The Enterprise AI Casebook

Browse all cases

Real organizations and what they did with AI: what it measurably changed, how strong the evidence is, what went wrong, and how to adapt it in your organization.

  • 8 cases
  • 3 proven
  • 3 promising
  • 2 mixed results

About the curator

Full background
  • 20+years in software and engineering leadership
  • 1,000+software engineers in large enterprises trained to build better software, faster, with AI
  • 50+companies helped to achieve better results, including Fortune 500 enterprises

I help companies cut through the AI noise, identify the right opportunities, and turn strategy into measurable results.

AI strategy and adoption

Turning AI from isolated experiments into a scaled, governed capability with measurable business outcomes.

AI-assisted software engineering

Playbooks, standards and tools that help engineering teams deliver higher-quality software faster with AI.

Engineering leadership

Building and scaling global, cross-functional teams with strong engineering culture and sustainable growth.