Automation and AI agents for companies in Morocco
AI is only useful if it solves a real problem. Digifinance designs and integrates artificial intelligence that automates a task, assists your teams or optimizes a decision, and that goes from prototype to production, integrated with your existing systems.
What we do
Process automation
Data entry, reconciliations, reminders, document processing: we find the repetitive tasks that cost time and automate them, keeping a human check where it matters.
AI agents for the business
Assistants that search your documents, answer questions about your data or prepare a first draft, connected to your tools and limited to each user's permissions.
Integrating AI with your systems
ERP, CRM, document management: AI helps when it draws on your data. We integrate it with your existing tools, with controlled access and traceable answers.
Constraint optimization
Timetables, routes, resource allocation: a constraint optimizer finds a solution that respects all your rules. This is our specialty.
Data and production
Data pipelines, model development, deployment and monitoring over time: a model only has value in production, supervised and retrained when needed.
Technologies: Python, TensorFlow, PyTorch, Scikit-learn, Apache Beam, Dataflow, Vertex AI
Schedule optimization, our specialty
Many everyday decisions are optimization problems: who to assign to which slot, in what order to deliver, how to spread a workload. By hand or in a spreadsheet, you stop at an acceptable answer. A constraint optimizer explores far more combinations and proposes a solution that respects every rule and priority you set.
We built this know-how on two products: Planifica, which generates school timetables, and Logistica, which computes delivery routes. The same methods apply to your staff, production or field-service schedules.
How we work
- 01
Scope a use case
A precise, frequent and measurable task, rather than a vague large project.
- 02
Check the data
What data exists, where, in what state, and who can access it.
- 03
Prototype on your data
A first concrete result, assessed with your teams before going further.
- 04
Go to production and measure
Integration with your tools, monitoring, and measurement of the real gain over time.
Our work
Two products we designed and run show this approach end to end.
Frequently asked questions
Where should an SME start with AI?
With a precise, frequent and measurable task rather than a large project. A well-chosen first use case quickly shows whether AI brings a real gain.
Can an AI agent access our data safely?
Yes, if it is designed to: the agent only accesses the data each user is allowed to see, and its answers can cite their sources. Models and hosting are chosen with you, according to how sensitive the data is.
Do we need to replace our current software?
No. AI usually integrates with your existing tools, ERP, CRM or document management, through their APIs or exports.
Let's Discuss Your Project
Planning a cloud migration? Looking to integrate AI into your processes? Need an expert review of your architecture? Let's talk.