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
Engagement scenario
Sales, finance and operations produce three different readings of revenue from the CRM, ERP and local spreadsheets.
First decisions to produce
Trace one indicator from its source to the executive dashboard.
Name the reference data, its owners and the reconciliation rules.
Test the rules on one priority flow before extending the transformation.
A documented decision chain, a prioritised backlog and measurable quality rules before any new-tool decision.
Related expertise
Explore the missions and sector approaches connected to this practice.
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.