Public services cover all actors, public and private, national and territorial, who carry out missions of general interest : education, integration and vocational training, employment, health, social coverage (health insurance, welfare, retirement, autonomy, family allowances, social action), culture, media, housing, energy, transport and mobility, justice, internal and external security, defense, environment, etc. Public services have been facing new challenges for several years : our fellow citizens strongly expect profound transformation efforts aimed at simplifying procedures, improving the quality of service and relations with users, associations and businesses. Organised into three poles (State and its operators, Local authorities, Health and Social Protection), the TNP Public Services team has the specific objective of contributing to meeting these challenges , by supporting these actors in all their transformations, ranging from their technological, digital and IT issues, induced in particular by the digital revolution, to the political, legal and economic challenges of strategy, governance, organisation, human resources, and operational efficiency.
TNP's Public Sector team comprises around forty consultants specializing in the public sector and related processes . Their bilingualism in business and technology allows them to design and implement our clients' transformations from end to end, across all strategic and operational transformation challenges.
The advantages of our team:
We work in a wide variety of contexts – a variety of public bodies, ministries, processes, issues, and stakeholders – and on different types of transformation projects , with teams combining diverse expertise, including:
We have implemented actions that inform our client interactions:
We maintain constant monitoring of developments in the consulting and insurance sector, and therefore try to anticipate them as much as possible.
In particular, we are closely monitoring new technological opportunities (blockchain, big data, machine learning, AI, RPA / RDA…) to define what insurance will be like in the future.
