How to Build an AI Strategy for a Small Team
A useful AI strategy for a small team fits on one page: which problems to solve, which tools to allow, how to protect data and how to tell if it is working.
How companies, teams and workers are adopting AI: practical uses, costs, return on investment, workplace policies and what it means for jobs.

A useful AI strategy for a small team fits on one page: which problems to solve, which tools to allow, how to protect data and how to tell if it is working.

You do not need a data science team to get value from AI. Start with the repetitive work that eats your week, pick low-cost tools, and measure what changes.

Your employees are already using AI, with or without rules. A short, clear policy protects your data and lets people use these tools with confidence.

Many AI projects stall because nobody can say whether they are working. A simple measurement plan, set up before you start, fixes that.

AI can speed up research, drafting, analysis and personalization. The teams getting the most from it pair that speed with strong editorial standards.

A well-built AI assistant can answer routine questions instantly. A badly built one can frustrate customers and even create legal liability. Here is how to get it right.

Candidates use AI to write applications; employers use AI to screen them. Here is how to use it well on both sides, and where the pitfalls lie.