Business and AI
Practical writing for owners on bringing AI into an established business, and on what it means for value, operations and transactions.
Guides
Onboarding AI: a practical guide for established businesses
How an owner-operated company can bring AI into its operations in five stages, from choosing the first process to governing the systems once they run.
Bringing AI onboard without losing your team
The people side of AI adoption in an established business: how to communicate the change, assign responsibility and keep the trust of the staff who make the business work.
Business and AI: where AI adds value in an owner-operated company
The four areas where AI most often pays for itself in an established business, the areas to approach with caution, and how the results show up in valuation.
Build your AI firm: turning an established business into an AI-centric company
What separates a business that uses a few AI tools from one built around them: data, systems, people, products and governance, and why buyers value the difference.
AI for business, month by month
AI for business: March 2024
March 2024 brought a new generation of Claude models, the European Parliament's approval of the AI Act and Nvidia's Blackwell chips. What each meant for owner-operated businesses.
AI for business: April 2024
April 2024 brought Meta's Llama 3 open models, Microsoft's small Phi-3 models and new agent-building tools from Google Cloud. Why open and small models mattered for businesses concerned about cost and data control.
AI for business: May 2024
In May 2024 OpenAI released GPT-4o and Google expanded its Gemini models at I/O. Faster models that handle voice, images and long documents opened new uses in customer service and administration.
AI for business: June 2024
In June 2024 Apple announced Apple Intelligence and Anthropic released Claude 3.5 Sonnet. AI moved into the devices staff already use, and capable models became cheaper to run.