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FieldFlow AI · In development

Qualify requests and explain dispatch decisions

A field-service project combining AI qualification, business constraints and human validation.

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FieldFlow AI architecture illustration; scoring examples are illustrative.
FieldFlow AI architecture illustration; scoring examples are illustrative.

Business problem

Assigning an intervention requires balancing urgency, skills, distance and technician workload, often with incomplete information.

My role

Personal project in development focused on request qualification and an explainable dispatch engine.

How it works

AI structures the request and suggests a qualification. Multi-criteria scoring compares eligible candidates against business constraints before human validation.

An architecture decision

AI qualification is separated from scoring rules. This makes assignment suggestions explainable while retaining deterministic constraints for business decisions.

Limitations and project status

The project is in development. Scores illustrated in the portfolio are examples, not production performance measurements. Uncertain qualifications need operator review.

Read the architecture article

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