Your AI agents. Your business use cases. In production.
We deploy. Your teams keep control.
Our mission
Idoption helps organizations move from experimentation to real adoption.
At idoption, we help our clients concretely adopt innovation. That's exactly where our name comes from: Adoption of the innovation
Since 2025, we've supported SMEs, mid-market and large enterprises in deploying concrete solutions - notably around RFPs, support, staffing and operations.
Many tools, few measured results.
All our clients share the same reality: a bit of Copilot here, some Gemini there. Tools multiply, everyone advances with their own solution, but few organizations truly capitalize on these initiatives. Governance stays limited, results are rarely measured, and there's often no one to say clearly when AI isn't the right answer.
We start from the use case, never the technology.
Our approach is pragmatic: we always start from use cases and ROI to identify what can genuinely improve your operations, then deploy it into your business processes. We focus our expertise on two complementary levers - artificial intelligence and automation - because not every use case needs AI: what matters is choosing the right technological answer, in service of a clear business goal.
Industrialize, automate differently, or walk away.
Every use case is assessed with a systematic ROI approach, to decide together what deserves to be industrialized, what should be automated differently, and what simply shouldn't be deployed.
Your first agents in production in four weeks.
Our promise is simple: get your first agents or automations into production in four weeks, on your real data and in your real processes.
This reality has become our domain of expertise.
Your AI maturity, in 4 levels
LLM usage
in a secure environment
Your teams use AI without risk
but the AI doesn't know your company
Connected assistants
linked to your Microsoft environment and business tools
Answers grounded in your own data
but it answers - it can't take action
Advanced agents
taking action, memory, web browsing, document generation
Agents that take action in your tools
but siloed, hard to scale
Orchestration & automation
chained agents and autonomous workflows
Autonomous workflows across the whole org
the real challenge: scaling without losing control
AI activation pack
Your first agent in production.
In 4 weeks.
On your real data. With measurable ROI before you commit to anything recurring.
- Week 1
Kick-off & Hackathon
Kick-off, initial Dust training, hackathons on every use case, Open Desk.
- Week 2
V2 & Advanced training
Agents V2 hackathon, advanced training (MCP, Skills, Orchestration), Open Desk.
- Week 3
Optimisation & ROI
ROI Flash Diagnostic, optimisation workshops, weekly open desks.
- Week 4
Keynote & sign-off
All-hands keynote, ROI readout and sign-off to scale the deployment.
in savings generated for Applium · 4 agents · 4 weeks · 90% adoption in 29 days
Partner & integrator
The right tool for every need.
Your company already has an application stack, data and ways of working. We build on that existing foundation to identify and implement the solutions that best fit your situation. A Dust partner and certified on Claude, Microsoft Copilot, OpenAI, Gemini, Mistral and many others, we support you all the way to adoption and measure your ROI, use case by use case.
+ many more- 01
Certified
Consultants certified on Claude, Microsoft Copilot, OpenAI, Gemini, Mistral and the leading AI platforms.
- 02
Partnership
- 03
Measured adoption
We grasp the real need, deploy, and measure ROI on every use case.
In their words
On the ground, it changes the everyday.
It's fairly easy to get an agent that delivers OK results 70% of the time. But getting to 95–98% is harder. It's on those remaining 20–30% that the Idoption team makes all the difference.
There isn't a single important topic I work on today without AI. It's a real accelerator, a drastic change in the way I work.
We use it every day. We've abandoned the other tools entirely. And on top of that, it's a French solution. That's worth saying.
On meeting notes, I'd say we save nearly 70% of writing time using an agent. And there's also a quality dimension: the client doesn't wait one or two days for their notes — they can have them immediately.
Dust, I think, is the main innovation driver for the firm this year.
Blown away!
I've gained a full day every week.
You talk to the founders. Every time.
Not an account manager. Not a sales team. The same two people from diagnostic to production.
Baptiste RoméCo-founderThe one who did it before he sold it.AI is a tool in the service of humans. If your teams aren't using it, adoption was missed - not the tech.
Dimitri MechaiCo-founderThe one who knows where your value sits.Before I suggest anything, I first want to understand your reality. Then I can share what I've learned in the field and the approaches that have already worked for other clients.
Frequently asked questions
What people ask us most
How long does it take to deploy a first AI agent in production?
Usually four weeks: diagnostic and wiring into your real data in week one, iteration with ambassadors and governance next, then production with ROI measurement. Nothing built during the pilot is thrown away.
What data and tools do the agents connect to?
Your existing tools — Teams, SharePoint, Slack, Google Drive, SAP and more — inheriting your permissions automatically. Agents work on your real data, not a test dataset.
Is our data secure, and where is it hosted?
Permissions are inherited from your tools, every request is traceable, and hosting is European. Governance is set before any rollout: security is the frame of the pilot, not a layer bolted on at the end.
Are you tied to a single AI vendor?
No — we're vendor-agnostic: consultants certified on Claude and Microsoft Copilot, partners with Dust, OpenAI and others. We pick the solution that truly fits your situation, because every company is different.
How do you measure return on investment?
Use case by use case: time saved, success rate, volumes handled. And if the ROI isn't there, we don't deploy — a systematic ROI approach also means saying when AI isn't the right answer.
How do we get started?
With a free 2-hour diagnostic on your real data: we identify 1 to 3 high-impact use cases and tell you honestly whether AI is worth deploying in your organization.
Pick the one that fits.
Your first agent in production.
We start from your real situation, not a generic template. Free diagnostic, 2h, concrete results on your context.
Free, 2h, no commitment, on your real data