Artificial intelligence: from idea to production

Many AI projects impress in a demo and then stall at the prototype stage. Our job is to take them all the way to production: a useful application, connected to your data and tools, secure and monitored over time.

To get there, we work on the model as much as on everything around it: data quality, cloud architecture, integration with your applications, security and operations. That is why our AI teams work hand in hand with our Cloud & DevOps and Development & Solutions expertise.

What we do

Generative AI, RAG and agents

• assistants that help your teams find information, summarise documents, write or analyse content;
• RAG systems that connect models to your own documents and data, with sourced answers;
• agents that chain several actions and work with your applications;
• internal assistants hosted in your cloud, so you keep control of your data.

Data, machine learning and MLOps

• data engineering to collect, prepare and clean your data;
• machine learning models to forecast, classify or detect;
• computer vision for image-based use cases;
• MLOps to train, deploy and monitor models like any other software;
• AI governance to frame usage, access and responsibilities.

Process automation

We combine AI and RPA to automate processes end to end: reading documents, extracting information and chaining tasks across applications, with less re-entry and a check at every step. Our Solutions division offers ready-made tools for this, notably for document automation.

Example projects

• A document search assistant that answers teams' questions from their procedures and business documents.
• Support assistance that suggests answers based on past incidents and the knowledge base.
• Automated document processing: reading, extracting the useful data and feeding applications.
• Forecasting volumes, behaviours or risks with machine learning.
• Taking over a data science prototype and making it reliable in production, with pipelines and monitoring.

On these projects, the hard part is rarely the model. It lies in the available data, the architecture, access rights, integration with existing systems and monitoring in production. That is where we make the difference.

Our approach

1. Scoping with an expert. A free 30-minute first conversation to understand your use case, your data, your security and hosting constraints, and whether to start with a prototype, an industrialisation project or an upgrade of the foundation.

2. Delivery. We bring in the profiles you need: AI consultants, data engineers, MLOps specialists, developers, cloud and security experts. The solution is designed from day one to integrate with your information system and run without manual handling.

3. Operations. We plan monitoring, track behaviour in production and evolve the models. Your contacts stay the same from scoping to go-live.

Engagement models

• Fixed-price projects when the scope is defined: internal assistant, document automation, industrialising a prototype.
• IT staffing: consultants who join your teams (data scientists, MLOps specialists, cloud experts, developers).
• Recruitment of the AI, data and cloud profiles you need for the long term.
• Service centre in Morocco for maintenance and changes.

For corrective and evolutive maintenance, we can also rely on our service centre in Morocco, run by our subsidiary: French-speaking consultants, a minimal time difference, workstations provided and managed by Abalsia, secure VPN connections to your systems, centrally managed workstation security (antivirus, EDR) and data protection equivalent to the GDPR. According to our figures, this model costs 30 to 40% less than development carried out in France, at equal quality.

Why Abalsia

• All the way to production, not just the prototype. We deliver applications that run every day, connected to your data and tools.
• The foundation as much as the model. Data, cloud, security and operations are handled in the same project, by the same team.
• The same contacts from start to finish. The people who scope your project are the ones who take it to production.
• A team chosen for your context. Our clients, from Keolis to Milleis Banque, first mention how well our consultants listen.

To go further, read our articles on Le Lab (in French) or explore our Infrastructure expertise.

Let's talk about your project

A use case to scope, a prototype to put into production, a data foundation to prepare? Let's talk for 30 minutes, free of charge, with an expert. Talk to an expert or email contact@abalsia.com, +33 1 54 70 54 99.