AI changes the role of product tours rather than making them disappear. The key question is whether the user journey should be predefined or generated from the user’s current goal and context.
Where product tours still work well
Product tours remain useful when you want every user in a defined group to see the same short sequence.
- first-run orientation;
- new feature announcements;
- required setup steps;
- simple activation journeys;
- compliance or training steps that must be shown consistently.
These are deliberate product experiences. AI does not automatically improve them just because it can generate a different path.
Where AI reduces the need for tours
The weakness of predefined tours appears when the number of possible workflows grows. Complex software can have many roles, permissions, screens and business processes. Building a separate tour for every path creates significant maintenance.
AI guidance can start from what the user wants to accomplish and determine which workflow is relevant. That makes it better suited to long-tail questions that were never explicitly scripted.
What is changing in the market?
AI-native product assistance is already moving away from manually scripted tours. Frigade currently describes an approach where its agent learns the product and generates tours on demand, then retrains as the interface changes. This is different from the traditional model where teams attach authored steps to interface selectors.
At the same time, structured onboarding remains part of modern product-adoption stacks. The two models are increasingly used together.
Product tours vs AI-generated guidance
| Question | Predefined product tour | AI-generated guidance |
|---|---|---|
| Who decides the path? | Product team | System selects or generates it from context |
| Best for | Known, stable journeys | Variable or long-tail workflows |
| Coverage | Only flows created in advance | Potentially broader if product knowledge is complete |
| Maintenance | Needs review when UI or workflows change | Depends on how the system keeps product knowledge current |
| Control | High | More dynamic |
What should complex software teams do?
Do not replace every tour simply because AI is available. Keep tours where a fixed experience is intentional. Use AI for workflows where users arrive with different goals or where creating and maintaining every path manually does not scale.
This hybrid model is especially relevant for ERP, logistics, robotics and other complex applications.
The Smartdoxx approach
Smartdoxx connects in-app guidance to structured product knowledge built from the software codebase. The objective is to reduce the amount of guidance that must be recreated manually while keeping the user in control of the task.
For a direct comparison, see AI Assistant vs Product Tour.
Frequently asked questions
Will AI replace product tours?
Not completely. AI can reduce the need for manually created tours across many workflows, but predefined tours remain useful when the experience should be controlled and consistent.
When should you use AI instead of a tour?
Use AI when the correct path depends on the user’s goal, role, workflow state or other context that makes one predefined sequence too rigid.
Can AI generate tours automatically?
Yes. Some AI-native product assistance systems can generate walkthroughs from learned product workflows rather than requiring a team to author each sequence manually.
Reduce the guidance you have to maintain manually
Smartdoxx connects user questions to product workflows and contextual guidance.
See the in-app assistant