In August 2026, Cameroon put a name to a problem many governments face but rarely describe so directly: digital systems exist, yet too many of them still operate like islands.
The 2026 Cameroon Internet Governance Forum therefore chose an unusually explicit theme: “From Fragmentation to Interoperability.”
The stated goal is to make data a foundation of digital public infrastructure, improve secure information exchange between public institutions and build more coherent digital public services.
That sounds like a technical programme.
It is only partly technical.
Making public systems work together is as much a question of architecture as it is of governance, accountability, security and data quality.
Interoperability means making different systems work together
The first mistake would be to assume that every existing platform has to be rebuilt.
A Cameroonian contribution published by the International Telecommunication Union in August 2026 argues for almost the opposite.
It proposes a progressive transition based on high-value use cases. Existing systems can be connected through agreed interfaces, reference data structures and authentication mechanisms instead of being replaced wholesale.
That distinction is critical.
A government does not become interoperable simply by buying one large central platform. The practical goal is simpler: different systems need to exchange information predictably and securely.
It becomes interoperable when different systems can exchange information predictably, securely and under clear governance while retaining their domain responsibilities.
In practice, the systems do not need to be merged. They need a shared contract: what data can move, in what format, between which institutions and under which rules.
A five-layer architecture is a useful way to understand the problem
The Cameroonian ITU contribution proposes five layers. In plain language: connect the systems, deliver services, organise exchanges, decide which data is the official reference, and secure the whole chain.
That separation matters because it prevents the whole subject from being reduced to “we need an API.”
The first layer is connectivity.
Before data can move, institutions need sufficiently reliable networks, accessible infrastructure and the capacity to support the services being delivered.
The second layer is the digital services themselves.
These are the applications used by citizens, businesses and public officials: forms, portals, payments, licensing workflows and sector-specific systems.
The third layer is interoperability.
It covers interfaces, protocols, formats, routing, exchange mechanisms and the way services discover and communicate with one another.
The fourth layer is reference data.
It is often the most underestimated layer.
The fifth covers trust and security: identity, authentication, authorisation, auditability, data protection, secrets management, monitoring and resilience.
Neglect any one of these layers and the whole system can become fragile.
The hardest problem is not moving data. It is deciding which data is authoritative.
Imagine that public service A asks for a person's name, address or identifier while public service B already stores that information.
Technically, moving a few fields through an API is easy.
The harder questions are different.
Which database is the official source of record?
Who is allowed to correct the record?
Which identifier prevents duplicates?
What happens when two systems disagree?
How often is the data refreshed?
Which institution is accountable when the information is wrong?
This is why reference registers are strategic.
The architecture therefore needs to know which institution is the official source for each type of information, then let other services reuse that data under clear rules.
Otherwise fragmentation is not removed.
It is automated.
An API gateway does not solve everything
Integration projects often treat an API gateway — a controlled front door between applications — or a data-exchange platform as the solution.
These tools are useful.
They do not define what the data means.
Two institutions can expose a field called `status` and refer to completely different concepts.
Two systems can use incompatible date formats.
An API can change without versioning and break several public services.
An identifier can be unique in one application and ambiguous in another.
It also requires documented data formats, versioned changes, clear error rules, compatibility checks, audit logs and named owners for maintenance.
The architecture must also decide when a synchronous request is appropriate and when an event or delayed synchronisation makes more sense.
These look like engineering details.
At government scale, they become operating rules.
Security must control circulation, not merely block it
The more systems are connected, the more a poor design can propagate an incident.
The choice is not between interoperability and security.
The goal is to build interoperability so that it is always clear who is accessing what, for what purpose and for how long.
Cameroon has had a personal-data protection law since December 2024. The 2026 Internet Governance Forum also placed cybersecurity, data governance and digital sovereignty at the centre of the debate.
In interoperable public infrastructure, that has to become technical reality.
Strong system authentication.
Least-privilege authorisation.
Encryption in transit.
Access logging.
Secrets management.
Anomaly detection.
Retention policies.
Segmentation.
Incident procedures.
And above all, a clear legal and organisational basis for each data exchange.
An interoperability platform should not become a shortcut through which everyone can read everything.
It should become the point where the rules are made visible and auditable.
The largest risk is organisational
An integration can work perfectly in a test environment and fail six months later because nobody knows who owns the interface.
Who guarantees the SLA?
Who tells the other institutions when a data format changes?
Who manages certificates?
Who funds the shared service?
Who arbitrates when an institution refuses a standard?
Who corrects incorrect reference data?
Who can revoke a compromised connection?
These questions are not solved by Kubernetes.
The OECD's Digital Government Outlook 2026 makes the same broader point: interoperability is now a governance issue as much as a technology issue. Shared infrastructure creates value when institutions actually use it and when responsibilities are explicit.
Cameroon will therefore need not only a reference architecture but an operating model.
Without one, standards become documents and interfaces slowly diverge.
A few visible journeys are better than connecting everything to everything
The progressive approach described in the Cameroonian ITU contribution is likely the most realistic.
Choose a few use cases.
Measure today's friction.
Identify the minimum data required.
Name the authoritative systems.
Define interfaces and responsibilities.
Build.
Observe.
Then expand.
A good first use case does not need to be spectacular.
It can be a journey where a citizen or company stops submitting the same document three times, where two institutions eliminate manual re-entry, or where a verification that once took days becomes a controlled exchange completed in seconds.
Interoperability becomes credible when it reduces something measurable: time, duplication, error, cost or travel.
The issue already extends beyond Cameroon
From 31 August to 4 September 2026, Douala hosted work led by the UN Economic Commission for Africa, ECCAS and regional partners on a common data-governance framework for Central Africa.
One stated objective is to enable trusted and secure cross-border data flows while bringing national approaches closer together.
That means an architecture decision made in Cameroon today may eventually have a regional dimension.
Identity standards, sharing policies, formats, trust mechanisms and governance rules are far harder to harmonise after they have evolved independently for ten years.
Building open, documented interfaces now is cheaper than reconciling several closed ecosystems later.
Public systems do not need to be identical. They need to work together.
That is probably the most important distinction.
Interoperability does not require a tax administration, hospital, municipality and identity service to run the same software.
It requires each of them to know how to prove identity, request authorised information, understand the response, audit the exchange and operate under common trust rules.
The 2026 debate matters precisely because it begins with fragmentation rather than with the promise of a miracle platform.
The required technology already exists.
The real challenge is turning standards into contracts, contracts into reliable services and services into institutional habits.
A digital state does not become coherent when it owns many applications.
It becomes coherent when those applications can work together without forcing the citizen to perform the integration manually.