DIGITAL TRANSFORMATION · MODERNIZATION · CLOUD · AI

Digital Transformation with business impact

We modernize legacy systems, migrate workloads to cloud, and embed AI into the processes that run your operation.

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We work with

Cloud migration

AWS · Terraform · K8s

Workloads migrated

quarter target

Deploys / week

zero-downtime

p95 target

< 200ms

Modernization roadmap

Current quarter

In production

MetricsSprint over sprint

DiagnosisComplete

Strangler figIn progress

MicroservicesIn progress

AI in processesSprint 2

Sprint over sprintIn production

AI · Processes

Agents · RAG · MCP

Automated L1 support
Real-time ERP sync
Operational decisions with RAG

METHODOLOGY

We diagnose, modernize, and operate on architectures that scale

Technical diagnosis, domain-by-domain modernization, and continuous operation. Every decision leaves a trace and connects to a business metric.

01 / 03

Diagnosis

Architecture and tech debt audit
Map of processes, integrations, and data
AI use cases prioritized
Roadmap by impact, effort, and risk
North-star metrics and KPIs defined

02 / 03

Modernization

Strangler fig over Java, Symfony, and .NET
Microservices and event-driven with Kafka
Migration to AWS, GCP, or Azure with Terraform
ERP, CRM, and PIM integrations by contract
CI/CD, observability, and SLOs per service

03 / 03

Operation with AI

Agents and RAG connected to your systems
Automation of critical processes
Data platform for decisions
Zero-downtime deploys and rollback
Measured iteration in production

TRANSFORMATION LEVERS

Capabilities that move the operation

Four concrete levers with real stack. Each connects to a measurable business outcome.

Legacy modernization

JAVA · SYMFONY · .NET · STRANGLER FIG

We refactor inherited backends with strangler fig toward microservices on Kubernetes. Operations keep running while the architecture evolves.

Cloud and platform migration

AWS · GCP · AZURE · TERRAFORM · CI/CD

We move workloads to the cloud with Terraform, OpenTelemetry observability, and zero-downtime deploys. Measured costs and automatic rollback.

AI applied to critical processes

AGENTS · RAG · MCP · LANGCHAIN

Agents, RAG, and MCP servers connected to your systems to automate queries, operational decisions, and repetitive tasks in production.

Data and integrations

SAP · SALESFORCE · AKENEO · KAFKA

We connect ERP, CRM, and PIM through APIs, event-driven, and middleware. Data platform over PostgreSQL, BigQuery, or Snowflake for coherent decision-making.

FREQUENTLY ASKED

What teams ask before signing

Concrete answers on modernization, cloud, applied AI, and integrations.

Strangler fig or full rewrite?
Strangler fig by default. We replace legacy by domain while keeping operations live. Full rewrite kicks in when maintenance cost exceeds migration cost, or when the domain has fundamentally changed.
How long does a cloud migration take?
Foundation with Terraform, observability, and CI/CD in 1-2 sprints. Workload migration takes between 3 and 9 months depending on volume, integrations, and criticality. Zero-downtime deploys from the first migrated domain.
Which processes are AI candidates?
Processes with high volume, stable rules, and access to structured data or documentation: L1 support, operational queries, system-to-system synchronization, classification, and repetitive decisions. Every case goes through technical viability and ROI before entering the roadmap.
Do you work with SAP, Salesforce, and other ERP/CRM?
Yes. We integrate SAP, Salesforce, HubSpot, Akeneo, Microsoft Dynamics, and proprietary systems through APIs, event-driven with Kafka, and middleware. Explicit contracts, traceable sync, and coherent data across operations, sales, and product.
How do you measure business impact?
KPIs defined in the diagnosis — operating cost, cycle time, p95 of critical services, deploys per week, automated processes. Every lever connects to a north-star metric and is measured in production from sprint one.