Why modernize a public information system in stages rather than through a big-bang cutover?
The need appears when several public applications contradict each other, duplicate work, or become too costly to evolve.
Modernization must be progressive so the delivered service is not broken.
Make the information system more readable, interoperable, and easier to take over over time.
Frame migration, documentation, reversibility, and continuity alongside the technical work.
How do you reassess dependencies, reference data, and fragile zones before migrating?
Flows and reference data are scattered across several poorly documented systems.
Migrations are slowed down by a lack of clear visibility on dependencies and access.
We start from an audit of the existing stack: flows, roles, dependencies, interfaces, cutover risks, and documentation debt.
Modernization is then sequenced by flow, domain, or component to keep service continuity.
How do you organize APIs, data takeover, and coexistence with the existing stack?
Mapping, urbanization, migrations, APIs, and takeover of useful data.
Workstream steering, documentation, risk tracking, and project reporting.
Service layers that are easier to maintain and evolve.
APIs, integration bus, IAM, DMS, directory, reference systems, and legacy applications.
Monitoring, deployment, and maintenance tools depending on the existing stack.
A cleaner, more readable information system that is easier to maintain over time.
Better-scoped migrations and less dependence on local workarounds.
How do you sustain documentation, reversibility, accessibility, and governance over time?
We first start from the most critical workflow in local authorities and public operators, then the roles, approvals, documents, and decisions that must become clearer.
The project then progresses by useful scope, with a first version, progressive integration takeover, and a documented base for maintenance.
Public-sector good practices require documentation, reversibility, security, accessibility, and explicit governance.
Public references such as RGAA and the operational logic of DINUM or ANSSI must be translated into project practices without overstatement.
A cleaner, more readable information system that is easier to maintain over time.
Better-scoped migrations and less dependence on local workarounds.
