System integration and automated data flows
An order arrives in an online store. Someone copies the customer into accounting software, checks stock in another system and updates the CRM. Each step is simple; at scale, mismatched fields, missing records, duplicates and unexplained failures become the real cost.
A new platform is not always the answer. We connect the tools a company already uses through APIs, webhooks, scheduled imports and exports, or a small intermediary application. The design starts with data ownership, destination and the expected response to failure.
For an initial conversation, list the systems, give one example of the data being moved and describe the manual work.
What can be connected?
Enquiries and CRM
A form can create an opportunity, preserve its source and pass an attachment. A retry must recognise the same enquiry instead of creating another record.
Store, warehouse and suppliers
Products, prices, availability, orders and tracking numbers can be exchanged once the source of truth and acceptable delay are clear.
Accounting, documents and KSeF
An integration may prepare document data, submit it to the correct system and retrieve its status. KSeF 2.0 provides an official API, while permissions, certificates, operating mode and the company's software determine the exact process. We build the technical layer; tax decisions remain with the client and their adviser.
Files that remain part of the process
Where no API exists, a controlled CSV, XLSX or XML import may be the supported route. It still needs validation, rejected-row reporting and safe retry behaviour.
Conventional integration or AI?
Moving a known order number, amount and customer ID into fixed fields is usually simpler, cheaper to maintain and easier to test without AI. AI becomes useful when the input is free-form text, a document with varying layouts or an ambiguous description.
The two approaches can be combined: a model interprets an enquiry, while deterministic integration validates required fields and performs the CRM write. See AI for business for related examples.
Example: one enquiry across several systems
- Validate required data and assign a technical operation ID.
- Look up the customer in CRM before creating a record.
- Create the case in the right stage and retain the enquiry source.
- Return the case number or a useful error state to the application.
The important edge case is a CRM write that succeeds while the application never receives the response. A blind retry can create a duplicate. We therefore define idempotency, retry behaviour and a route for resolving an uncertain state.
Questions answered before implementation
Question
What we establish
Why it matters
Where is the record created?
The source system and point of creation.
Identifies the source of truth.
Which way does data move?
One-way delivery or two-way synchronisation.
Prevents conflicts and loops.
How is the same record recognised?
Identifiers, mappings and match rules.
Prevents duplicates.
What is required?
Mandatory fields, formats and validation.
Defines when processing must stop.
What follows a failure?
Retries, queues, alerts and manual correction.
Prevents silent data loss.
Who has access?
Service accounts, permissions and secret storage.
Limits unnecessary access.
If a vendor has no API, we check supported imports, exports or cooperation with its team. We do not bypass safeguards or promise a stable link based on screen scraping.
How delivery works
- Define one flow. Agree its start, expected outcome, data and system responsibilities.
- Verify technical options. Review documentation, authentication, limits and test access.
- Build the critical path. Use test data or prepared examples rather than an uncontrolled production copy.
- Handle exceptions. Exercise missing data, API limits, timeouts, retries and invalid responses.
- Add monitoring. Make completed, waiting and failed operations traceable.
Acceptance is more than a 200 OK response
The outcome should state that an order has the correct customer and lines, a retry does not duplicate it, validation failures are visible and an operator can trace the operation by a shared ID. Larger flows also need an agreed delay, catch-up method, service limits and behaviour after a format change.
Confirmed examples
Our portfolio includes the API link between Wycieczki Świnoujście and 44Islands, a Pipedrive form for Zastrzegalnia.pl, product and image imports plus Symplex Small Business integration for Ragazza, EDI++ conversion in HUB.ITM.PL and a separate high-volume PrestaShop product importer. The transport format is only part of the job; the integration must match the process and make failures explainable. See the portfolio.
Common questions
Can systems be connected without an API?
Sometimes, when the supplier supports import, export or another documented exchange route. The absence of an API does not guarantee that a safe integration is available.
Must the whole process be automated at once?
No. One flow with a clear owner and outcome is usually the safer starting point.
Can data be exchanged on a schedule?
Yes. A webhook can react to an event, while scheduled processing suits systems that permit periodic retrieval.
Can you maintain the integration?
Yes. Monitoring, vendor API changes and failures can become part of ongoing technical maintenance.
What to send for an initial assessment
Name the systems, describe the data currently copied by hand and identify its intended source of truth. Attach API documentation, a sample file or an error report if available, but never passwords, tokens, certificates or customer data. We will decide whether the connection can be quoted directly or needs paid technical discovery.
You can first structure the assumptions in the free system integration planner.
Sources
Describe your project
We design API integrations, webhooks, imports and exports. We define data ownership, error handling and monitoring so existing systems can work together predictably.