Agent-based model for visa application processing

An agent-based model (ABM) is a computational model that simulates the interactions of individual agents within a system to understand how collective behaviors emerge from these interactions. In the context of processing e.g. Schengen visa applications end-to-end through to visa approval or denial, an agent-based model could represent various entities involved in the application process, each with specific roles, behaviors and decision-making mechanisms.

1. Applicants interact with the Visa Officer by submitting their applications and necessary documents.
2. The Visa Officer uses various supporting information sources (e.g. criminal or financial databases) to assess risks and make decisions based on the Schengen rules.
3. Once the visa is approved, it is passed to the Border Control Agent who checks the applicant’s visa validity and allows or denies entry.
4. The Supporting Information Agents provide relevant data for decision-making, including risk assessments, security checks and background information.
5. Decision-Making Agents help refine visa rules and thresholds, ensuring consistent decisions by the Visa Officer.

Implementing an agent-based model (ABM) for end-to-end Schengen visa processing brings several benefits, such as reducing processing time, improving cost efficiency, enhancing accuracy and offering better security.

The AI agent system's ability to scale and adapt while automating routine tasks allows it to handle growing volumes and changing policies efficiently.

Using the following link you can access this sandbox SIPOC data & process model in the ProcessHorizon web app and adapt it to your needs (easy customizing) and export or print the automagically created visual AllinOne process map as a PDF document or share it with your peers: https://app.processhorizon.com/enterprises/vpyXoxA5btqa9id1SmNWbyVM/frontend