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Four systems, four versions of the truth, and Excel as the glue.
The ERP, webshop, CRM and warehouse system each hold a piece of it, and somebody exports and re-keys the rest by hand. At a wholesaler, nobody retypes over 3,300 of 5,017 order emails anymore. We build the integration that removes that job, with the error handling and monitoring that decides whether it still works in a year.
- 2 out of 3Order emails at a wholesaler nobody retypes anymore
- 1-3 wksFor a scoped integration
- 24/7Monitoring and alerts included
- FreeThe feasibility check upfront
Price the integration yourself.
What it costs hangs on two things: how many connections are needed and how cleanly the data comes out of those systems. Answer those two and the range plus the lead time move with them.
What does the integration cost?
Two questions. The range comes straight from our experience figures.
One-off, fixed price
€ 8.000 - € 12.000
Lead time 1 - 3 weeks.
Then roughly € 200 - € 600 per month for hosting and monitoring.
How does the data get out?
Calculated with our experience figures: €5,000-€15,000 for a scoped integration between two systems and 1-3 weeks per integration. The monthly figure is hosting and monitoring at a few hundred euros a month, scaling with the number of integrations. The fixed price comes out of the integration scan.
Sound familiar?
Somebody exports and re-keys every morning
An hour a day of copying between systems, plus the typos nobody notices until a customer calls. It is the cheapest work to automate and the most often postponed.
The automatic connection stalled and nobody saw it
Point-and-click tools such as Zapier are fine until a field changes or a system starts limiting requests. Without automatic retries and alerts, an integration fails silently and the first signal is the damage, not a notification.
The vendor quoted nine months and a project team
The question was one connection between two systems. What came back was a platform migration. There is a middle road between a Zap and a full ERP implementation, and it is usually a few weeks of work.
Rather talk it through right away?
No account manager and no discovery phase invoice. In 30 minutes we map which systems have to talk and say what is possible, what it costs, and when an existing connector would be the cheaper answer.
The Data Impact Scan
Curious what this looks like on your data?
Book an intro call with the solution architect who also builds the work. You walk through your processes together and get an honest answer on where the numbers are for you, and where they are not.
30 minutes, no obligation, directly with the builder.
How it works, without risk
- 01
1. Integration scan, 30 minutes
We go through which systems need to talk, in which direction, and how fresh the data has to be. The answer is straight on what is technically possible with the connection points those systems actually offer.
- 02
2. Fixed price, then build
One connection, scoped and priced upfront. Built with error handling, automatic retries and a log that can be read, so a failed run is visible and repeatable instead of invisible.
- 03
3. Live, with monitoring
It runs around the clock, with alerting when something stalls. Nobody has to export or re-key anymore, and an error shows up before a customer calls.
Why not Zapier or the software vendor?
| Zapier / Make | Software vendor | Stratalytic | |
|---|---|---|---|
| Fits the process | Only standard steps | If it is on the roadmap | Built around the company's own process |
| When it fails | Silently, per task | Support ticket | Automatic retries plus alert |
| Cost over time | Per task, grows with volume | Licence plus change requests | One-off, then hosting only |
| Lead time | Quick, for simple steps | Months, with a project team | 1-3 weeks per connection |
Before the call
What does an integration cost?
A scoped integration between two systems has a fixed price after the Data Impact Scan, depending on how many kinds of data move, in which direction, and how well the systems behave. The price is set before anything is built, and if an existing connector does the job we will say so.
Our system cannot be connected. Now what?
Then we look at what it does offer: a database we can read, a scheduled export, a file drop, sometimes a supported plug-in. Those are all workable. The one case where we advise against it is a system that only allows screen-scraping, because that breaks with every update and the maintenance eats the saving.
Which systems do you connect?
In practice: ERP such as Exact, AFAS, Business Central and Odoo, webshops on Shopify, WooCommerce or Magento, CRMs like HubSpot and Pipedrive, warehouse and transport systems, and anything with a connection point. Which system it is matters less than whether the data can get out cleanly.
What happens when a system changes how it connects?
The integration logs and alerts, so the news comes from the monitor rather than from a customer. Small breaking changes are usually a short fix; we can keep that on a maintenance arrangement or hand it to the company's own developer, since the code belongs to the company either way.
Can this be a step toward AI or dashboards?
That is usually the real reason to start. A forecast or a dashboard is only as good as the data reaching it, and most AI projects stall on plumbing that was never built. Getting the connection right first makes the next step cheap instead of impossible.
What if it does not work, and how much of our time does it take?
The feasibility check is free and shows early whether the connection holds; if not, there is no proposal. The call takes 30 minutes, after that we need access to the systems and an hour or two of explanation, and handle the rest. No system has to be replaced.
Our data is messy. Is that a problem?
Usually it is the reason for the integration in the first place. The check shows what is usable and what needs cleaning, and that goes into the price before anything is built.