AI Agents for EU Teams — Sartrouville, France
Your tools already work.
Make them think.
ElumiWorld builds AI agents that slot directly into your existing stack — HubSpot, Notion, Slack, your own internal tools. We design, deploy, and keep them running.
What brings you here?
Start with your situation
We build differently depending on what you actually need. Pick what fits.
Workflow automation agents
We identify which manual steps cost your team the most time, build agents that handle them autonomously, and connect them to the tools you already use — without breaking existing processes.
See our approachLLM integration into your product
Whether it's a document assistant, a search feature, or a context-aware chatbot, we scope the integration properly so it doesn't degrade over time. We stay on as the technical point of contact.
See our approachCustom agent architecture
Make.com and Zapier work until they don't. When you hit the ceiling — unreliable triggers, limited logic, vendor lock-in — we take over with purpose-built agents that scale with your business.
See our approachOngoing agent maintenance retainer
You don't need a full engineering team to run AI. Our retainer model means an agent you deploy in June still works correctly in December, with someone responsible when it doesn't.
Talk about a retainerOur position
Different from the usual AI consulting
Not this
A slide deck strategy engagement that ends when the presentation does.
This
A running agent in your real systems, maintained monthly, with a human to call when something breaks.
Not this
A generic AI product you adapt your workflows to fit.
This
An agent designed specifically for how your team actually works — in the tools you already pay for.
How we help
Three kinds of work we do
Each engagement is scoped to your actual situation — not a product tier.
01
Agent Design & Build
From requirements to a working agent in your systems. Fixed-scope project, typically 6–10 weeks. We handle architecture, integration, testing, and documentation.
Details02
Ongoing Maintenance
Monthly retainer to keep agents reliable as your stack evolves. Includes monitoring, updates, and a direct line when something behaves unexpectedly.
Details03
LLM Integration
Adding language model capabilities to an existing product or internal tool. We scope it honestly, including the parts where LLMs are not the right fit.
DetailsCommon questions
Things people ask before they contact us
No. We work with companies across the EU. France is where we are based, but our clients are in Germany, the Netherlands, Spain, and elsewhere. The common requirement is that the project involves tools and data that stay within EU jurisdiction.
It depends on what you have. We have built agents on top of HubSpot, Notion, Airtable, Slack, Google Workspace, custom REST APIs, and several internal tools. We start by understanding your existing infrastructure before proposing anything.
Project work starts from €3,500. Ongoing retainers from €1,200 per month. We do not have a consultation fee for the initial scoping call — that conversation is free.
Most project clients see a working prototype within the first three weeks. Full deployment typically takes 6 to 10 weeks depending on integration complexity. We do not commit to timelines before we have seen your actual environment.
Ready when you are
Tell us what you're dealing with
No intake form with 20 fields. A short call where you explain the situation and we tell you what we can actually do.
Book a scoping callThe Log
Recent writing
What AI agents actually do for operations teams
Not what the demos show. What happens after six months of daily use.
The no-code automation ceiling: when Make stops being enough
A pattern we see repeatedly in growing teams and how to think about the transition.
Adding LLMs to an existing product without breaking what works
Practical notes from three integration projects — what we changed our minds about midway through.