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What is an AI roadmap?
An AI roadmap is a timeline- and resource-based overview of all of a company’s planned AI initiatives. It translates the overarching AI strategy into specific projects, milestones, and responsibilities.
Typical components: Vision and goals (what should AI achieve?), prioritization (which use cases take priority?), timeline (what happens when?), resources (staff, budget, tools), milestones (clear deliverables), dependencies (what depends on what?).
Two common time horizons: Short-term (6–12 months, specific projects), medium-term (12–24 months, programs), long-term (24+ months, vision and strategic options).
For small and medium-sized businesses, the roadmap often serves as a pragmatic guide: not too detailed (otherwise too rigid), not too vague (otherwise worthless). It is a living document that is updated at least quarterly.
Best Practices for AI Roadmaps
These six principles have proven effective:
- Don’t get too detailed: Overly rigid planning quickly becomes obsolete—focus on topics and timeframes rather than specific dates.
- Don’t be too vague: Lists of topics alone aren’t enough to guide the process—milestones must be tangible.
- Include governance in the plan: Not just business use cases—but also regulatory requirements, skills, and governance.
- Backed by the steering committee: Without buy-in, roadmaps remain mere paper—leadership must be behind them.
- Review regularly: Quarterly updates. More frequently in the event of major changes.
- Communicate visibly: The roadmap belongs on the wall or on the intranet—not in a drawer.
Common Mistakes in AI Roadmaps
We see these pitfalls time and time again:
- A wish list instead of a roadmap: All ideas listed without prioritization—no focus.
- Too Ambitious: Twice as many projects as resources allow—frustration is inevitable.
- Only the business unit or only IT: Missing perspectives—the roadmap becomes one-sided.
- Governance Overlooked: Only business use cases are planned—the AI Act and compliance are forgotten.
- Created once, never updated: The roadmap becomes a dead document instead of a steering tool.
Roadmap vs. Strategy vs. Backlog
A comparison of three related concepts:
- Strategy: Why are we doing AI? Overarching goals and principles.
- Roadmap: What are we doing and when? Time and resource plan.
- Backlog: How are we doing it? Detailed planning for each project.
Develop an AI Roadmap for Your Company
In a free initial consultation, we’ll gather information about your AI projects, prioritize them together, and outline the right roadmap—including governance and compliance issues.
As an AI partner for small and medium-sized businesses, we build roadmaps that are pragmatic and realistic—focused, ambitious, and with clearly defined responsibilities.
What We Offer
- AI Consulting — Strategy, Roadmap, and Rollout.
- AI Strategy in the Glossary — the overarching framework.
- AI Readiness in the Glossary — Assessing the Starting Point.
- AI Workshop — a practical format for roadmap development.
