Innoworks Innoworks
Book an intro call

Glossary Strategy & implementation

AI strategy

What is an AI strategy?

An AI strategy determines which business goals AI should serve, which applications deliver the most and in which order you introduce them.

Also known as AI strategyAI roadmapAI plan

A good AI strategy fits on a few pages and answers five questions: which goals, which use cases (ranked by value and feasibility), which data and systems must be in order, how you cover risks and the AI Act, and who owns it.

The roadmap puts that into phases: first one or two applications that deliver results within weeks, then the broader setup. Without that order, it stays a set of loose experiments.

A strategy only pays off when it is executed. How we combine strategy and building is covered under AI consultancy.

Last updated: 4 October 2026

Relatedterms

Read on in the glossary

All terms
Strategy & implementationAI auditAn AI audit is a focused review of your processes and data that maps where AI saves you the most time or errors, and what it takes to get there.Strategy & implementationAI operating modelAn AI operating model is the way an organisation is set up when AI carries out a fixed part of the work: which tasks AI does, who decides and which data and agreements underpin it.Approach & collaborationProof of Concept (PoC)A proof of concept is a small, fast version of an AI solution that proves the idea works on real data, before you invest in a full build.Strategy & implementationAIOS (AI Operating System)An AIOS is an AI layer that sits on top of your existing systems, reads data from all of them at once, and runs processes that affect the whole organisation, not just the individual employee.

You can feel it has to change,
we show you how.

You know where the friction is. We help you figure out how AI can genuinely fix it.

Book an intro call

Not ready for a conversation yet? Get honest AI advice first →

30 minutes. Online or in Enschede. You decide.