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From cloud to AI

With you
at every revolution

Agentic AI crosses a threshold: it no longer assists, it acts. Our job is to create the conditions for it to deliver value inside your organisation.

  • Consulting & expertise
  • CSP reseller
  • Managed services

Our Microsoft designations

Solutions Partner Azure Infrastructure Solutions Partner Modern Work Solutions Partner Data & AI

Our vision

Three convictions

Microsoft has a name for the company that reorganises its work around teams of humans and agents: Frontier Firm. That is where the market is heading. Here is how we take our clients there.

  • Infrastructure matters again

    Running applications and models day after day takes a foundation: compute, identity, network, backup, tracked costs. That is where the gap opens between a demo and a service in production that creates value.

  • Development is changing hands

    More and more, business teams will build their own tools. IT keeps the frame. Good news for both, provided someone organises it.

  • Intelligence is a commodity

    The token is its unit: it can be measured, allocated and governed. An agent without an identity, or usage without tracking, gets paid for later, in euros or in incidents.

The opportunity

Code opens up to the business

Development assistance has changed in kind. You describe a need, you build the application with the AI, you write the tests with it. Creating a tool is gradually ceasing to be the preserve of developers.

I haven’t written a line of code by hand in, I think, eight months now.

Boris Cherny Head of Claude Code, Anthropic, June 2026
  • 46 %

    less time on routine development tasks, measured across 4,500 developers in 150 companies

  • 88 %

    of organisations already use AI in at least one business function, against 78 % two years earlier

What it changes for your application strategy

Yesterday

  • Pick a software package, then bend it
  • Twelve to twenty-four months of project
  • A full team and/or an integrator
  • Processes adapt to the software
  • The solution stays a third-party vendor’s
  • Every change is a new project

Today

  • Describe the need, build the right tool
  • A few weeks, sometimes a few days
  • One person from the business, supported and trained
  • A tool shaped to your processes
  • Open building blocks, code that belongs to you
  • Every change is an iteration

This is not the end of software packages: an ERP is still an ERP. It is the end of having to force into it everything that does not fit.

With market tools, or with ours

We deploy and train on the tools your teams expect: GitHub Copilot, Claude Code, Codex. And when the sensitivity of the data calls for it, we deliver the same uses on open models hosted in our own infrastructure, in France.

  • GitHub Copilot
  • Claude Code
  • Codex
  • Open models, hosted in France

Source: McKinsey, State of AI, study on AI-assisted development published in February 2026.

The flip side

Fast is a given. Well takes work

Code ships faster. It does not ship better. The measurements published over the past two years all converge on this point.

  • 2,74×

    more security vulnerabilities than in human-written code

  • 1,7×

    more defects overall: logic, maintainability, security, performance

  • 66 %

    of developers spend more time than before fixing code that is almost right

This is not a technology problem. It is a matter of configuring environments, of frame and tooling, and that is our job.

Sources: CodeRabbit, State of AI vs Human Code Generation, 2025, across 470 real pull requests. Stack Overflow, Developer Survey 2025.

Our answer

Ship fast, but ship well

Between the application your business team has just written and an enterprise application, six things are missing. They come in this order: set the frame, protect, connect, deliver, host, hand over. We hold all six.

What the business produces An application that answers the need exactly, written in a few days.

  1. Architecture

    Without a frame A different framework per application, no shared patterns.

    With us A chosen technical frame, template repositories, conventions, an architecture review at every step.

  2. Security & authentication

    Without a frame Secrets in plain text in the repository, permissions open to everyone, home-made sign-in.

    With us Single sign-on through your corporate directory, permissions by role and by scope, secrets moved out of the code and into a vault, access logging.

  3. Integration with your systems

    Without a frame An island. Data that already exists elsewhere gets re-entered by hand.

    With us Connection to your existing reference systems, documented interfaces, monitored flows, backup and recovery.

  4. DevOps & CI/CD

    Without a frame Deployed by hand, no tests, no staging, no way back.

    With us Deployment pipelines, automated tests, separate environments, pull requests reviewed by dedicated agents.

  5. Infrastructure & scalability

    Without a frame It holds for ten users. At a thousand, it falls over.

    With us Hosting on Azure or in our French datacentre, depending on how critical the data is. Sizing, monitoring, tracked costs.

  6. Team enablement

    Without a frame One application per person, dying with its author.

    With us Shared enterprise skills, written best practices, training for business champions.

What goes into production An enterprise application: integrated, secured, monitored, documented and maintainable by your teams.

And across it all, continuously

  • Agent governance. Registry, own identity, guardrails, usage tracking.

  • FinOps. Cost per application, tokens per team, sizing, chargeback.

  • Operations. Monitoring, maintenance, L1 to L3 support.

The other front

Everyday AI, governed

Your teams already use assistants, often on a personal account. Banning alone does not hold: people work around what frustrates them. What works is making enterprise tools available that are at least as capable, and that respect your policies.

  • 78 %

    of AI users at work bring their own tools, and 80 % in small and mid-sized companies

  • 52 %

    will not admit they use it for their most important tasks

  • Enterprise AI on a par with the best consumer tools, connected to your directory and compliant with your policies.

  • A registry of the agents in service, of their permissions and of what they can reach.

  • Tracking of real usage, the use cases that work, and the training that spreads them.

Source: Microsoft and LinkedIn, Work Trend Index 2024, 31,000 respondents in 31 countries.

What we do

Three ways to work together

An outside view, a supplier, or a team that runs things day to day. The commitment is not the same.

We advise

Consulting & expertise

Four areas, one thread: making AI workable in production.

Infrastructure & Cloud

We build the foundation that runs your applications and your models, on Azure or in our French datacentre, sized for what you actually consume.

Move to CloudLanding ZonePrivate cloudFinOps

Data & AI

We put in place the platforms that collect, process and analyse your data, and the foundation your AI agents run on.

AI FactoryAnalytics

Security

We secure access, usage and agents, so that opening up to AI is not paid for in incidents.

Audit & complianceZero TrustManaged SOC

AI Workforce

We put AI in the hands of your business teams, with the tools, the rules and the training that go with it.

AI agent governanceCopilot adoptionMove to Microsoft 365Enterprise skillsTraining
We equip

Hosting & solutions

Licences, cloud and hardware, with the advice that goes with it rather than a catalogue.

Microsoft licences and cloud

We size your licences and cloud subscriptions as tightly as possible, and we keep track of them over time.

CSPCopilot licencesEstate optimisation

IT hardware

We choose with you the servers, network and workstations that match your real workload.

ServersNetworkFirewallWorkstations

Private cloud & hosting

We host your sensitive environments in our French datacentre, on resources that belong to you alone.

SovereigntyHigh availability
We operate

Managed services

We run it, we monitor it, we answer. With AI on our side too.

Managed IT

We take on all or part of your operations, from day-to-day administration to keeping systems running.

Managed ITUpkeep

Proactive monitoring

We detect drift before the outage, and the ticket is open before you have to call.

24/7 monitoringAnomaly detection

Intelligent SOC

We watch over your security from our in-house centre, where AI triages events and an analyst decides.

Managed SOCIncident response

Support & assistance

We answer with someone who knows your environment, backed by a history that AI mines to move faster.

L1 to L3 supportRemote assistance

Our approach

From audit to operations

The same contact from the first workshop through to the run. That is what prevents deliverables nobody takes ownership of.

Keep scrolling

  1. Understand

    Inventory, regulatory constraints, technical debt. And what your teams already use.

  2. Frame

    A costed roadmap, with the trade-offs written down and the risks named.

  3. Build

    Delivery in batches, reversible, with skills transferred to your teams.

  4. Operate

    Monitoring, upkeep and continuous improvement. Reports a board can read.

References

A proven ecosystem

What you can count on, and what can be checked.

  • 3

    Microsoft Solutions Partner designations

  • L1L3

    in-house support levels

  • France

    datacentre and teams in France

  • 7

    technology partners

Our technology partners

Veeam Cisco NetApp Dell Fortinet Keeper Cyna

Contact

Where do you stand today?

Whether AI is already everywhere in your organisation or has not arrived yet, thirty minutes is enough to work out where to start.

Address
2 rue Sabine, 77410 Claye-Souilly

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