Policymakers, regulators and supervisors in emerging markets are under pressure to develop, implement and enforce policy and regulation that conforms to global best practice but is effective locally despite considerable constraints. Cenfri leverages the legal background, policymaking and regulatory experience of key team members and assists via direct regulatory development or policy guidance but more often through technical assistance and skills building.
Much of our work has been in the financial sector across Africa, Asia and Latin America. This includes an impressive “regulating for innovation” portfolio in support of financial sector regulators who are grappling with innovation or market development mandates in regulatory environments that do not effectively accommodate the range of risks presented by new financial service innovations. We also support improved digital and data governance in Africa. Examples range from creating a set of scenarios on the possible digital futures in Africa, to developing a data-sharing policy for the Government of Rwanda and researching fit-for-context open finance solutions for Africa.
Innovation can enable insurance to become a powerful engine of growth and development across the continent, but achieving this requires that market players and regulators work together to build an ecosystem in which responsible innovation can thrive. For regulators, doing so means not only understanding the current state of innovation
Nothing illustrates the incredible power of data-driven decision-making more than the recent COVID-19 pandemic. Lamenting the disparities in genomic sequencing data from high versus lower-middle income countries, Professor Happi, from the African Centre of Excellence for Genomics of Infectious Diseases in Nigeria, has talked about the pressure they experienced early
Introduction Harnessing the transformative potential of AI for positive outcomes requires careful navigation by decision-makers. To support this process, Cenfri has developed an AI Implementation Framework to help public sector decision-makers in emerging economies assess how AI tools should be integrated, localised, governed, and safeguarded within their specific institutional contexts.
In January 2026, Tools for Humanity was reported to have deleted sensitive personal data it had unlawfully collected from Kenyans. This followed a High Court ruling and multi-agency investigation into Tools for Humanity’s data processing practices, after it gathered Kenyans’ iris scans and other sensitive personal data in exchange for
There are expanded risks and consumer harms that come with financial service digitalisation. A digitised financial system has more participants, multiple points of vulnerability and a wider range of risks as fraud and cyberattacks can be perpetrated from anywhere around the globe. Consequently, more consumers are being deceived into transferring
Across Rwanda’s ministries and agencies, years of digital investment have produced large volumes of data. The digitisation effort led to numerous government services being made available online, and the further development of infrastructure to support that. Even though that has been achieved an important task remains and that is the
The global data governance landscape is rapidly evolving, presenting an opportune moment for African policymakers to reassess the role of domestic data protection authorities. A key aspect to good data governance is balancing the tension between enabling innovation in data driven technologies and protecting individual rights. Since 2016, African states have tended towards
A literature review by Cenfri for the Innovative Capital Mobilisation in Africa (ICAMA) initiative, implemented by GIZ, examining the regulatory conditions needed to support venture capital (VC) markets in Africa. Africa’s path to prosperity requires strategic investment; however, there is a large funding gap, estimated at $ $1.3 trillion in
Across the world, countries are exploring the use of Artificial Intelligence (AI) to transform public services, economic growth, and governance. Rwanda is no exception. At present, the country leverages AI models developed externally, including systems such as ChatGPT and other similar LLMs (large language models). There is growing ambition to develop locally built AI systems for national
Too often, financial systems overlook the lived realities of women, leading to products, policies, and market structures that do not adequately serve them. In an effort to change this, Cenfri applies a gender lens across its financial inclusion and market diagnostics work. We have developed a portfolio of related work
In the realm of artificial intelligence, excessive caution may prove more dangerous than agility and speed. For financial sector regulators, a watch-and-learn approach has long been a prudent way to manage risk. With the rise of AI, however, this time-tested strategy may no longer be the optimal approach. As former
