A business customer considering a young software supplier will eventually ask: can we get our data out if this relationship stops working? For a Benelux B2B founder, that question deserves a product answer, not just a contract clause. A credible exit process can make adopting a new supplier feel less risky.
Cloud portability is therefore worth discussing as part of product quality and sales readiness. My interest is in the practical work behind the promise: what gets exported, whether it remains understandable, and whether another team can use it. This is an operating perspective for founders, not a legal assessment of a particular service.
The Data Act gives switching a clearer place
The European Commission explains that the Data Act addresses switching between data-processing services, including cloud and edge services. Its guidance identifies 12 January 2027 as the date for removing switching charges, including relevant data-egress charges. That does not mean every technical migration becomes costless. Source: European Commission.
For a company in Belgium, the Netherlands or Luxembourg, the sensible response is to review the actual service, contract and applicable requirements with appropriate expertise. Do not assume a headline settles every scope question. Equally, do not wait for a customer dispute before finding out whether the export function actually works.
An export button is only the beginning
Start by listing the information a customer would need to continue its work. Business records are one part. Relationships between records, attachments, timestamps and the meaning of fields may also matter. Decide which items your product can provide and explain any limitations clearly. Do not promise to transfer rights or material that you are not entitled to transfer.
A file can be technically readable and still be operationally confusing. Imagine an exported list of orders with internal customer identifiers but no way to connect those identifiers to customers. The export exists, yet the receiving team cannot confidently reconstruct the workflow. Test the result with someone who did not build the feature.
Write a short data dictionary alongside a sample export. Explain identifiers, date formats, currencies and relationships. Include a version so that a later schema change does not silently invalidate an integration. These are suggested product practices, not a claim that this exact checklist satisfies every legal obligation.
Run an exit rehearsal before promising portability
Choose a synthetic customer account with enough variety to expose problems: several users, historical records, attachments and a few unusual cases. Export it, then ask another person to perform a defined task using only the package and instructions. Avoid production personal data when a realistic synthetic example will do.
The task should reflect the product. For an operational application, the receiving person might need to rebuild a customer history or identify outstanding work. Record what is missing, ambiguous or dependent on undocumented knowledge. A rehearsal is useful when it reveals the awkward details that a successful download hides.
Time the exercise, but do not reduce success to speed. Check completeness, consistency and whether the person can explain the result. If an export omits a category of records, document that explicitly and decide how to address it. A clear limitation is better than a promise that fails when a customer needs it most.
Budget for the work that remains
Separate charges imposed by a provider from your own migration work. Engineering time, testing, training and running systems in parallel can still affect a project budget. Those costs should be estimated for the actual situation rather than assumed away because of a regulatory headline.
A practical estimate names the tasks and owners. Who maps the fields? Who checks the imported records? Who decides the old system can be retired? What happens if the comparison fails? Build a rollback decision into the plan before anyone is under pressure to declare success.
For a startup buying cloud services, this exercise also reveals dependencies. Identify where the application relies on a provider-specific feature and whether an alternative would require redesign. Portability is not a binary label. Explain which layers are straightforward to move and which involve real trade-offs.
Use clarity to support the sales conversation
A founder can turn this preparation into a concise customer document: available formats, scope, responsible contact, expected process and known limitations. Make sure sales and engineering agree on it. An attractive promise made during procurement can become expensive bespoke work if nobody checked the implementation.
Ask prospective customers what they actually need. Some may want a periodic archive; others need an integration or an exit package. These are different jobs. Avoid building the most elaborate solution before identifying which one affects a buying decision and what evidence the buyer would accept.
Do not present openness as a reason customers should leave. Treat it as confidence in the continuing value of the product. My preferred commercial argument is that customers stay because the software helps them, while clear boundaries make the relationship easier to trust.
Where a focused B2B product might help
There may be room for tools that validate exports, document schemas or compare records before and after a move. That is a hypothesis, not a market-size claim. Start with one repeatable job and a buyer who already spends time or money on it.
A paid pilot could test whether a tool finds inconsistencies more reliably than the customer’s current process. Agree on the dataset, permissions and definition of a useful finding. Record false alarms and review effort as well as successful detections. A report that creates more investigation than it saves is not automatically a good product.
As an investor, I would ask what repeats across customers. If every engagement requires a new mapping project, explain the service component honestly. Show which parts become reusable and how maintenance is funded when customer systems change. A promising demonstration is only the start of understanding delivery economics.
Make one promise demonstrable
For the coming week, choose one export promise and prove it with a small rehearsal. Improve the documentation where another person gets stuck. Then use the findings to update both the product roadmap and the customer-facing explanation.
Read more on hosting choices for Benelux startups and product-security preparation. If you are building an early-stage B2B or fintech product, share your customer problem, paid-pilot evidence and funding plans. I am interested in practical products with a clear reason for customers to keep using them.