AI agents
Business AI agents: solving what was out of reach.
We design AI agents that tackle your real problems: publishing better, making use of your documents and data, producing more content, making your platforms more reliable. Model-independent, with your data under control.
What we offer
Bringing AI to the heart of your digital ecosystem.
We start from what you already have: your data, your CMS, your CRM, your business tools. We identify where AI brings a real gain, then deploy it where your teams already work.
- Use-case scoping
- Autonomous agents
- Model independence
- Data under your control
The web
A more visible website, easier to run.
AI is built directly into your website and back-office, serving your visibility, your visitors' engagement and your communication teams.
Editorial and SEO assistance in the CMS
Summaries, metadata, title suggestions, translations, consistency with your brand voice: your editors save time without leaving their publishing tool, and every page goes out better optimised.
Visibility in AI answer engines
ChatGPT, Perplexity, Google's AI-generated answers: your content is structured to be understood and cited there, alongside your traditional SEO.
Search and an assistant that understand the question
Semantic search and a conversational assistant answer from your own content, point to the right page and hand over to your teams when needed.
Personalised recommendations and journeys
Recommended content, messages, highlights and calls to action adapt to each visitor's profile and behaviour, guiding them faster to what they are looking for and towards your goals.
Business processes and data
Your documents and data become usable.
What used to take weeks of manual work, or was simply never done, becomes possible.
Processing across your tools
Agents that read, cross-check and update information between your CRM, business tools and platforms, where conventional automation reaches its limits.
Document extraction and qualification
Contracts, case files, technical sheets: useful information is extracted, classified and checked, ready to use.
Bulk processing
Thousands of images, videos or PDFs described, sorted or enriched: a volume beyond the reach of manual work.
Marketing automation
Produce more content, without losing your voice.
Your marketing teams keep control of the message, agents take care of production and repetition.
On-brand content production
Articles, variations, posts: content produced from your editorial line and tone, reviewed and approved by your teams.
Automated production pipelines
From monitoring to publishing, including adaptation to each channel: repetitive steps run without re-entry.
Automatically consolidated metrics
Figures from your various tools gathered and formatted, so you spend your time on analysis rather than collection.
Your augmented run
A platform that monitors and improves itself continuously.
We apply it to ourselves first: our agents already work every day on the platforms we maintain.
Automated security and technical debt monitoring
Vulnerabilities, overdue updates, security headers, performance: your platforms are scanned continuously.
Assisted code review
Every delivery is reviewed by an agent alongside our architects, to catch errors and deviations from our standards earlier.
Agent-qualified supervision
Production signals are analysed and turned into qualified tickets. The agent proposes, your project manager decides.
Our approach
Useful AI you can trust.
Solving what was out of reach
We do not put AI everywhere: we keep it for problems no other approach solves as well.
Model-independent
The model is a choice, not a dependency: it can be swapped without rewriting the project, whenever a better, cheaper or leaner one comes along.
Your data under control
Hosting and model chosen according to how sensitive your data is, up to deployment on your own infrastructure: you know where your data goes and who accesses it.
The agent proposes, people decide
Every agent works under your teams' supervision: nothing is published or changed without approval when the stakes call for it.
Getting started
A first agent on your data, before you commit.
Rather than a large AI programme, we start with a specific use case and a measurable result. You decide whether to go further based on concrete results, not on a promise.
1. The use-case workshop
With your teams, we identify where an agent brings real gains, and where it does not. You leave with a prioritised, scoped use case.
2. The prototype on your data
A first agent is built and tested on your real cases to measure the quality of the results. This prototype is not throwaway: it is the foundation for what follows.
3. Going live
Integration with your tools, security, quality and cost monitoring: the agent becomes a reliable everyday tool, supervised over time.
FAQ
AI agents: your questions.
What is an AI agent?
An AI agent is a program that relies on a language model to carry out a task end to end: reading documents, querying tools, producing a result and submitting it for approval. Unlike a simple chatbot, it acts within your tools, according to rules you set.
Which AI models do you use?
Whichever suits each case best: commercial models or self-hosted open-source models. Our agents are designed to be model-independent, so the model can be changed without rebuilding everything.
What happens to our data?
It stays under your control. We choose hosting and model according to how sensitive your data is, up to deployment on your own infrastructure when needed.
Will AI replace our teams?
No. Our agents handle repetitive or high-volume tasks; decisions stay with your teams. The agent proposes, people decide.
Can AI be added to our Drupal website?
Yes. Editorial assistance in the back-office, semantic search, a conversational assistant: AI integrates with your existing website, without a redesign.
Why not just use Copilot or ChatGPT Enterprise?
These tools are excellent individual assistants. A business agent goes further: it is connected to your tools and content, follows your rules and carries out a specific task end to end. The two are complementary.
How much does it cost to run an AI agent?
Running costs depend on the volume processed and the model chosen. They are estimated from the prototype stage, then monitored in production; model independence makes it possible to optimise them over time.
How does the AI Act apply to our agents?
The EU AI Act sets obligations according to the risk level of each use. Editorial or document agents usually fall under limited risk, with transparency requirements. We assess every use case during scoping.
Where should we start?
With a use-case workshop, to choose a first topic with a measurable gain. A prototype on your real data then lets you decide, based on concrete results, whether to go further.
Client experience
A partner engaged at every step
Discover how we support our clients, from strategy to production — a genuine human collaboration.
Discover the Neovia client experience→What digital experience for your customers?
Let's talk about your needs. We'll show you how we can support you throughout your project.
Get in touch