Claude

We put Claude into production, inside the systems your teams already use.

Stratos builds and deploys Claude-powered agents, tools, and workflows for mid-market companies. We integrate with your existing stack, we set the security and governance guardrails, and we ship to production.

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Architecture d’une application IA prête pour la production

Why Stratos

Claude changes what internal tools can do. Shipping it to production is a different job.

We have spent years building and operating internal systems for mid-market companies. We bring that operating experience to Claude, so it lands as governed production software, not a demo that never leaves the sandbox.

Integrated into your stack

We embed Claude into the tools and data your teams already work in, from your CRM to custom applications, with role-based access and secure data handling.

Governed and secure by default

A tool that uses Claude needs a clear framework of policies and controls around your data. We set those guardrails from the first line of code, not after go-live.

Aimed at the use cases that pay off

We identify where Claude creates measurable value and where it does not, so the investment lands on the workflows that move a real number.

Développeur Stratos travaillant sur une application métier sur mesure

OUR CLAUDE TEAM

The same team that scopes your Claude use cases builds them, ships them, and trains your people to own them.

Core disciplines : AI, product, data, operations

+30

Senior Advisors trained on Claude by Stratos

Our senior advisors combine AI engineering, product strategy, data systems and operational change. No handoff between strategy and execution - the people in the room are the people building with you.

What we do with Claude

Claude-driven systems, built for how your operations actually run.

Custom Claude agents

We design and ship agents that run real work end to end inside your operations, connected to your data and your existing interfaces.

Workflow d’un agent IA reliant la demande utilisateur, les outils, les données et la réponse contrôlée

MCP development and integration

We build and extend MCP servers that expose your databases, files, and APIs to Claude through a structured protocol, then wire them into your internal tools.

Architecture d’intégration entre une IA, les systèmes métier et les données via MCP

Claude in production

Moving from a working prototype to a governed production system is where most AI projects stall. We handle deployment, access control, monitoring, and the handover to your teams.

Tableau de supervision d’une application IA en production

AI audit and use-case scoping

Before building, we map where Claude fits across your operations, rank use cases by impact and feasibility, and give you a roadmap tied to business outcomes.

Feuille de route allant de la sélection d’un cas d’usage IA à son déploiement en production

Selected practitioners

The people who put Claude into production.

Stratos brings together former founders, C-level operators, CTOs and data and AI specialists. The team on each Claude engagement is matched to your stack, your data and the use cases in scope.

CTO Senior Advisor

Florian Bline

Florian has led technology and product teams for ten years, with a focus on ERP. He brings hands-on experience putting AI assistants and Claude-based workflows to work inside business systems.

CTO Senior Advisor

Alexis Montoro

Alexis is an experienced software leader who works hands-on with AI-assisted development. He helps teams move from individual experiments to Claude workflows the whole team can rely on.

Head of Business Software Delivery

Dorian Simon

Dorian leads business software delivery at Stratos. He turns Claude pilots into production tools teams actually adopt, with the integrations and controls the work needs.

Data and AI Architect

Soufiane Taabani

Soufiane designs cloud data platforms, data pipelines and Generative AI integrations, including Claude-powered services, for production environments.

Method

We start from your teams' real work, then train in stages.

Your teams build skill on their own tasks. Each stage is measured on real cases, with a clear read on what Claude changes and what stays under human control.

Phase 01 · Framing

Understand the work as it happens today

Focused interviews with the teams
Mapping of tasks and exceptions
Claude use cases tied to expected ROI

Field → Decisions → Scope

Phase 02 · Workshops

Practise Claude on representative cases

Workshops on real documents and systems
Framing, context and source control
Comparison with the current method

Case → Practice → Rules

Phase 03 · Refinement

Make Claude workflows reliable

Review and human validation rules
Access rights and data governance
Workflows tested on a controlled scope

Test → Control → Workflow

Phase 04 · Adoption

Embed the practice after the sessions

AI Champions identified and equipped
Shared, documented practices
Baseline and next decisions

Champions → Practices → Baseline

Customer story

AI, delivered in production.

Software · M&ABlackroom

2025 · Software

Building next-generation M&A infrastructure with AI at its core

Stratos worked alongside Blackroom's founding team to build an AI-native M&A platform capable of challenging two-decade incumbents.

58%

Faster document review cycles

1M+

Documents processed per month

20yr

Incumbents now competing against

"Stratos delivered a full, enterprise-ready SaaS product built to compete with global market leaders, powered by a core AI-driven engine."

Read full story

Enablement program

We do not just deploy Claude. We make your teams autonomous with it.

A phased program that takes your teams from first use to a governed, self-sufficient Claude practice. You decide at every gate, and you keep the playbook.

Phase 11–2 weeks