Work with suggestions
Understand rule-based measures, cost assumptions and the role of optional AI.
Review a suggested measure
Sign in with an analyst, city administrator or Rizicon administrator role and open a crossing.
Read why each measure was selected. Catalogue suggestions are derived from crossing data and the evaluation rules.
Check its priority, relevant references, estimated cost range and any request for review.
Verify missing observations on site before choosing an intervention or adding it to a budget.
Adapt the inputs to your city
The management workspace includes suggestion rules and measure costs. Authorised teams can configure rules and adjust costs for their city. Quantity assumptions matter: a per-metre or per-unit measure should be reviewed against the actual site.
Custom suggestions are appended to the catalogue results. Their presence does not turn them into an official engineering recommendation.
Use AI as an explanation layer
Optional AI supports Claude, OpenAI and Gemini when a provider is configured. AI explanations of catalogue measures preserve their selected IDs, priorities, costs and effects. The application also offers AI chat and budget commentary.
AI requests may send selected crossing and planning data to the chosen provider. Review what you include, avoid sensitive personal data and validate the answer before acting.