Transforming business processes with AI that truly integrates
FieldFlow AI is a personal platform project designed to simplify the qualification, assignment, scheduling and automation of field operations.
AI should solve a business problem, not create a new one
Businesses already have ERP systems, CRM tools, business applications, databases, and operational processes.
FieldFlow AI's goal isn't to systematically replace these tools, but to add a layer of automation and intelligence that makes better use of the information already available.
The value we're aiming for is concrete: fewer manual tasks, better-structured information, and field operations that are easier to manage.
A field intervention often involves too many manual steps
A simple request can require several actions before the intervention even begins.
- Intake
- Qualification
- Search
- Assignment
- Scheduling
- Field
Building a solution that fits into a real information system
Useful AI
Using artificial intelligence only where it delivers identifiable operational value.
Controlled automation
Automating repetitive tasks while leaving important decisions to the teams.
Progressive integration
Complementing the existing information system rather than asking companies to replace everything.
Robust architecture
Building a backend and API foundation suited to the project's gradual evolution.
Structured data
Turning operational information into data that teams and workflows can use.
Security by design
Factoring in authentication, access control, and secure data exchanges right from the architecture stage.
Expertise built on demanding enterprise projects
FieldFlow AI is a personal project designed and developed by Yacine Amouche, a software engineer specialising in backend architecture, APIs and systems integration.
With over 10 years of experience on enterprise applications, FieldFlow AI extends that expertise into automation and artificial intelligence applied to business processes.
Developed as a personal project, outside any professional engagement, it aims to go beyond an AI demo: designing a solution that can genuinely integrate into an existing information system.
- Java / Spring Boot
- Python / FastAPI
- Next.js / React
- PostgreSQL
- REST API
- Docker
- LLM / RAG
- Automation
Understand the business need before choosing the technology.
Connect AI to existing data and applications.
Automate only the steps that deliver real value.
Build progressively toward a production-ready solution.
A question about my background or my projects?
Would you like to talk about FieldFlow AI, its architecture or my technical expertise? Get in touch.