Understanding FieldFlow AI by Ginqel and field operations
Guides, architecture, use cases and content about artificial intelligence, automation and field intervention management.
Under the hood of FieldFlow AI by Ginqel
Real architecture choices, taken from the prototype’s code: what is done, why, and what remains to be built.
Qualifying requests with AI, without depending on it
How FieldFlow AI by Ginqel suggests a priority and a technical domain: deterministic rules by default, an optional language model and an automatic fallback.
Read the articleA dispatch that explains its choices
Hard constraints, a score and readable reasons to choose a technician, then a route optimised with 2-opt: automation that never forces an assignment.
Read the articleWorking without a network: idempotent synchronisation
Field events that can be replayed without duplicates, media checked before storage and a real-time stream that resumes after an outage: how the FieldFlow mobile app stays reliable offline.
Read the article
Get started with FieldFlow AI by Ginqel
Three pieces of content to quickly understand the project, the architecture and the main use cases.
A visual tour of the prototype
Browse the prototype’s screens: requests, qualification, scheduling and field tracking, from intake to intervention.
See the screensHow AI integrates with field operations
Understand how FieldFlow AI by Ginqel combines artificial intelligence, APIs, automation and operational data.
DiscoverAutomating intervention management
Explore possible scenarios in maintenance, after-sales service, facility management, industry and telecommunications.
Discover
Explore the topics around FieldFlow AI by Ginqel
These resources cover the main topics related to the project, field operations, architecture and automation.
Intelligent scheduling of field teams
The principles for better organizing interventions, resources and availability.Learn moreReducing the complexity of field operations
Centralization, geographic organization, matching and workflow automation.Learn moreConnecting a field platform to an ERP or CRM
An API-first approach to integrating FieldFlow AI by Ginqel with existing applications.Learn moreUsing AI on business use cases
Qualification, information extraction, scoring and operational assistance.Learn moreFieldFlow AI by Ginqel's core features
The prototype’s building blocks and how they fit together.Learn moreFieldFlow AI by Ginqel's vision and principles
Why the project exists and how it's being built progressively.Learn more
More articles are in preparation
FieldFlow AI by Ginqel is still under development. New articles will progressively cover other parts of the prototype.
- Multi-organisation security (OAuth2, JWT)In preparation
- Real time and notifications (SSE, push)In preparation
- Immutable documents and traceabilityIn preparation
- Docker deployment and CI/CDIn preparation
A question about these resources?
A topic suggestion, a technical question or a conversation about the project: write to me.