Most companies with any history have at least two systems that don’t share data. The CRM on one side. The invoicing tool on the other. The logistics software with no connection to the e-commerce platform. The ERP that nobody wants to touch for fear of breaking something.
The result is always the same: someone, at some point, pulls data from one place and puts it into another. Manually. That process has a cost. And that cost rarely shows up in any spreadsheet.
This article is not about technology. It is about what that problem actually costs you and when it makes sense to solve it.
Before getting into costs, it helps to understand why this happens. It is not carelessness. It is the natural consequence of how companies grow.
At the start, you pick a tool to solve a specific problem. Then another tool arrives for another problem. Over time, the technology stack becomes the sum of decisions made at different moments, by different people, with different criteria. Each piece works well on its own. The problem is they don’t work together.
On top of that, many off-the-shelf tools are not designed to integrate easily with others. They have limited APIs, poor documentation, or simply do not allow automations without upgrading to a higher-tier plan.
Not all integrations are the same. Cost varies significantly depending on the type:
Integrations via automation platforms (n8n, Make, Zapier): the fastest option for connecting standard SaaS tools. Implementation cost: between 500€ and 2.000€ depending on workflow complexity. Limitation: works well when both tools have well-documented APIs and data volume is moderate.
Custom integrations between proprietary or legacy systems: when one of the systems has no API, the documentation is poor, or the system is years old, integration requires custom development. The usual range is between 1.500€ and 15.000€, depending on complexity and how many systems are involved.
Bidirectional integrations with complex business logic: when data is not just transferred but transformed, validated, or routed according to company-specific rules, the work is considerably larger. This type of project can range from 8.000€ to 30.000€ or more.
Data migrations between systems: not exactly an integration, but often goes hand in hand. Moving historical data from one system to another while cleaning and transforming formats can be as complex as the integration itself.
This is the calculation most companies skip before making a decision. The question is not how much does integration cost? It is how much is not having done it already costing?
Some real examples:
A team of three people spends 45 minutes a day manually transferring orders from the e-commerce platform to the ERP. That is more than 180 hours a year. At an average cost of 20€ per hour, that is 3.600€ a year in lost time alone, not counting errors.
A sync error between the stock system and the online store generates orders for items with no inventory. The cost of handling returns, processing refunds, and reputational damage can easily exceed 1.000€ per incident.
A sales rep loses a deal because they had no real-time visibility into the customer’s order status. That data existed in another system they could not access.
These costs are real but invisible. They do not appear in any budget line. That is why they are tolerated for years.
Integration is not always the right answer. There are situations where the cost of integrating is not justified:
The manual process happens only a few times a month and carries low risk of error.
The systems being connected are going to be replaced within a year.
The information being transferred is not critical to operations or decision-making.
But in most cases, integration makes sense when:
The manual process happens daily or several times a week.
Errors from manual handling have an impact on the customer or on operations.
The team is spending qualified time on tasks a system could handle on its own.
The lack of real-time data slows decisions or creates friction with customers.
The calculation is straightforward. Before requesting a quote, run through this exercise:
How many hours per month go into the manual process? Multiply by the hourly cost of the person doing it.
How many errors does that process generate per month? Estimate the cost of each one (correction time, customer impact, etc.).
Add both values and multiply by 12. That is the approximate annual cost of not integrating.
If that number exceeds the cost of the integration, the decision is straightforward.
In most projects we have analysed, the return on investment for integrations is achieved in under six months.
Beyond the type of integration, there are specific factors that determine the final cost:
API quality of the source or destination system: a well-documented and stable API can cut development time in half.
Data volume and frequency: real-time synchronisation is more complex and costly than periodic synchronisation.
Required data transformation: if the formats between systems are very different, mapping logic needs to be written and can be extensive.
Error handling and retries: a robust integration includes failure handling, alerts, and recovery processes. This has a cost, but it is what separates a solid solution from a patch.
Ongoing maintenance: systems evolve. APIs change. An integration is not a static deliverable; it needs periodic upkeep.
Integrating systems has a cost. But so does not integrating them. And that second cost is usually higher, less visible, and harder to spot in a spreadsheet.
If you have two or more systems that don’t share data and someone on your team is bridging that gap manually, you are already paying for the integration. Just in lost time instead of in an investment that solves the problem for good.
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