Expertise

Areas of expertise

Five areas that combine, from a scoping workshop to long-term operations.

01

Architecture & data

Systems split so they can evolve, and data whose origin, freshness and access rights are known.

What is at stake

What must be able to change without breaking everything? An architecture is judged by what it lets you change, and data by how far it can be trusted.

What we do
  • Enterprise architecture, application boundaries and interface contracts
  • Data modelling, flow mapping and lineage
  • Quality checked automatically, GDPR compliance by design
  • Enterprise search: making what the organisation already knows findable
  • Incremental migration of existing systems, without a full rewrite
PostgreSQLKafkadbtAirflowSinequaOpenSearchAPI REST / GraphQL
02

Security

Security treated as a property of the system from the design stage, not a layer added at the end.

What is at stake

Who can do what, and how do you know? A secure system is one whose access, secrets and actions can be proven, not merely assumed.

What we do
  • Identity and access management, least privilege
  • Secrets kept out of code, rotated and encrypted
  • Security built into the delivery pipeline: code, dependency and image scanning
  • Security of AI usage: prompt injection, data leakage, agent scope
  • Traceability and audit readiness
VaultKeycloakOAuth 2.1 / OIDCTrivygitleaksRGPD
03

DevOps & operations

From the delivery pipeline to monitoring: ship often, without risk, and know what is running.

What is at stake

What does a release cost, and who answers at night? As long as shipping is an event, the system ages faster than it evolves.

What we do
  • End-to-end continuous integration and delivery pipelines
  • Infrastructure as code, reproducible environments
  • Monitoring on business indicators, not just technical ones
  • Service level commitments, on-call and security maintenance
  • Infrastructure cost under control, tied to usage
KubernetesTerraformAnsibleGitLab CIArgo CDPrometheusGrafana
04

Automation & AI

Automating what deserves it — by script, by workflow or by AI agent — with guardrails and a trace.

What is at stake

What is actually worth automating, and how do you keep it under control? AI is one means among others; the question remains one of trust.

What we do
  • Use case scoping, measuring the gain before building
  • AI agents that act on your systems: dry run and human approval on every write
  • Exposing your systems to assistants through the Model Context Protocol
  • Observability: cost per run, failure rate, answer quality
  • Automation of recurring operational tasks
ClaudeMCPLangGraphPythonFastAPI
05

Project leadership

Scope, decide, deliver: a technical project is steered by value and risk, not just by the schedule.

What is at stake

Where do we really stand? A project going off track shows early when you measure what is delivered and used, not what is planned.

What we do
  • Scoping: goals, system constraints, roadmap and estimate
  • Agile or hybrid delivery, fitted to your governance
  • Risk and cross-team dependency management
  • Coordinating business, IT, security and suppliers
  • Knowledge transfer and change management
ScrumKanbanJiraConfluence

Ways to engage

Ways to engage

Four ways to work together, whatever the area: from the first workshop to long-term operations.

We do not publish a rate card: pricing is built once the context is understood. That is exactly what the scoping workshop is for.

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