Plan, optimize,
do more in the field
FieldFlow AI turns intervention requests into planned operations: AI-assisted qualification, skill matching, workflow automation and field scheduling optimization.
Personal project in development: a platform prototype built for maintenance, after-sales service, facility management and mobile operations teams.
One workflow, from request to field
FieldFlow AI brings together information, automation and field operations in an experience designed to simplify the work of managers and technicians.
Turn a request into actionable information
FieldFlow AI helps structure the information useful to the intervention: type of need, urgency, location, constraints and skills required.
Identify the right resources more easily
The intervention's needs can be matched against skills, availability and coverage areas to help the manager with assignment.
Get a clear view of the operational schedule
Managers get a centralized view of interventions and resources to prepare and adjust field organization.
Keep a continuous view of operations
Intervention information is brought together to make it easier to track between operational teams and field workers.
From the office to the field, the same information
The manager organizes operations from the web interface. The technician finds on mobile the information needed to carry out their interventions.
Manage operations
Support the technician
Interventions, customer information, location and operational tracking, accessible from an interface designed for the field.
Want a closer look at the prototype?
Browse the prototype’s screens: qualification, scheduling, field tracking and the mobile app.
Too much time lost in coordination
Operational teams often already have the information they need, but it's spread across several tools and still requires many manual actions.
- Requests received through several channels
- Manual qualification of interventions
- Manual technician search
- Information scattered across several tools
- Schedules hard to adapt to emergencies
Automate without losing business control
FieldFlow AI aims to connect requests, data, resources and scheduling to simplify the teams' work and speed up operational decisions.
- Centralization of useful information
- AI-assisted qualification
- Matching based on skills and availability
- Help with intervention scheduling
- Workflow automation between applications
Operational goals measurable in the field
A simple, intelligent process
- 01
Customer request
Multi-channel intake (web, phone, email, API)
- 02
AI qualification
Needs analysis with an LLM (NLP)
- 03
Constraint extraction
Skills, location, availability, SLA
- 04
Scoring & matching
Intelligent assignment algorithm
- 05
Assignment
Automatic proposal to the technician
- 06
Real-time tracking
Updates and re-optimization as needed
A schedule that accounts for what's really happening in the field
Skills, availability, location, urgency and workload can all be factored in to propose a more coherent organization of interventions.
A platform built for field operations
FieldFlow AI combines artificial intelligence, automation, IT system integration and operational management in one unified experience.
Business-driven AI
An architecture designed to apply artificial intelligence to concrete operational challenges.
Gain efficiency
Reduce manual tasks and simplify the day-to-day organization of field interventions.
Built for the field
An approach that fits organizations managing mobile resources and interventions.
Security built in
An API-driven design with access control and secure-exchange mechanisms.
Discover the project in more detail
Explore the features, architecture, use cases and resources to understand how FieldFlow AI can fit into field operations.
Features
Discover how FieldFlow AI qualifies requests, selects resources and organizes interventions.
Explore the featuresTechnology
Explore the target architecture combining artificial intelligence, automation, APIs and operational data.
Discover the technologyUse cases
Maintenance, after-sales service, facility management, telecommunications, industry and mobile teams.
See the use casesResources
Guides, use cases and content about AI, automation and field operations.
See the resourcesA clear project.
Concrete answers.
The essentials to understand the project, its progress and its technical choices.
What is FieldFlow AI?
FieldFlow AI is a personal project by Yacine Amouche. It explores backend architecture, automation and artificial intelligence applied to field operations: maintenance, after-sales service, technical services and multi-site interventions.
Is FieldFlow AI available?
No. FieldFlow AI is a personal prototype in development: it is neither sold nor offered for trial. The screens shown on this site illustrate the project’s direction and progress.
Why focus on integration with existing tools?
Organisations already rely on ERP, CRM and business applications. The project is therefore designed as a layer that connects to existing systems through APIs, rather than a tool that would replace everything.
Does the AI decide instead of the teams?
No. In FieldFlow AI, AI helps qualify requests and suggest assignments; business rules and human validation remain at the heart of the process.
What technologies does the project use?
A Java / Spring Boot backend with PostgreSQL, a Flutter mobile app and containerised deployment with Docker. Request qualification combines business rules with an optional language model.
Can we talk about the project?
Yes, gladly: technical questions, feedback on the architecture or professional exchanges. FieldFlow AI remains a personal project: no services or commercial offer are provided.
A personal project
built step by step
FieldFlow AI grew out of a wish to explore, on a concrete case, backend architecture, automation and artificial intelligence applied to field operations. The project moves forward in stages, shared here as development progresses.