CRM & customer service
Sales cycle, customer relationship, campaigns, quotes, support and a shared view of the business.
Applications & data
CRM, ERP, document management, e-invoicing, business intelligence or custom development: we start from the real process, the data and the interfaces before choosing the solution.
Application landscape
We design the application portfolio as a coherent whole. The open source or proprietary choice is never a posture: it follows from the need, the vendor risk and the total cost.
Sales cycle, customer relationship, campaigns, quotes, support and a shared view of the business.
Purchasing, sales, stock, production, finance and preparation for e-invoicing according to the applicable timetable.
Document lifecycle, search, access rights, signature and well-governed workspaces.
Data models, quality, indicators, dashboards and the circulation of data.
Task orchestration, controls, notifications and less re-keying.
Dedicated applications where the process creates a real advantage or cannot be covered cleanly by the market.

What we cover
A mission does not stop at configuration. It deals with the data, the interfaces, security, adoption and future running conditions.
| Family | Framing & choice | Integration | Operations |
|---|---|---|---|
| CRM | Processes, data, vendor scenarios | Configuration, migration, ERP, e-mail | Administration, evolution, quality |
| ERP | Flows, gaps to standard, trajectory | Data take-on, interfaces, business acceptance | Support, changes, performance |
| DMS | Filing plan, rights, retention | Migration, SSO, signature, business apps | Governance, lifecycle, capacity |
| BI & data | Indicators, sources, quality | Models, pipelines, visualisation | Reliability, freshness, cost |
| Custom | Product, value, architecture | Build, APIs, tests, security | SRE, roadmap, reversibility |
Transformation method
Application projects rarely fail because of the main screen. They fail on forgotten interfaces, inconsistent data, business exceptions and a migration that was never rehearsed.
Extraction, transformation, loading, reconciliation and business testing are run over several cycles until the cut-over becomes predictable.
Processes, actors, rules, data, interfaces and pain points.
Standard or custom, scenarios, total cost, vendor dependency and trajectory.
Functional batches, interfaces, security, data take-on and change management.
Business acceptance, data reconciliation, cut-over rehearsal and decision criteria.
Hypercare, support, adoption measurement, backlog and product governance.
Application architecture
We favour explicit interface contracts, a coherent identity, observable flows and proportionate data governance. Changing one building block must not force you to rebuild all the others.
Points of control
Frequently asked questions
First conversation
A project to frame, operations to take over, compliance to demonstrate? Describe the context. You will get a first considered reading — not a generic brochure.