AI Strategy
A deliberate plan for how an organization will use AI to achieve its goals — as opposed to ad hoc tool adoption without a unifying direction. A real AI strategy answers: what business problems are we solving, which capabilities do we need, how do we build for the long term, and how does AI fit with our existing systems and culture? Without strategy, companies end up with dozens of disconnected AI experiments and no compounding value.
In practice
Your company decides: we will use AI to reduce time-to-first-response in customer support by 50% in 12 months, starting with Claude handling tier-1 inquiries. That's an AI strategy — a specific goal, a specific use case, a timeline, and a way to measure success. "We should use AI more" is not a strategy.
Related concepts
Where AI Strategy shows up
2 articlesMost AI pitches fail because they lead with the technology. What investors actually want to hear — and the specific narrative structure that works.
Three serious AI agent platforms, three different strengths. A decision framework for operators and IT teams choosing where to standardize — without the hype.