Business system connections
Connect CRM, billing, payment and operational data through APIs or approved exports. Define stable identifiers, update rules and what should happen when one system is unavailable.
Data integration services for dependable business records
Data integration services connect the systems your business uses to sell, deliver and report. dplyz builds the pipelines and API connections that keep records consistent and makes failures visible to the people who can fix them.
Discuss a project
Agree on the record before moving the data
The CRM says paid. The invoice system says overdue. A dashboard shows both. We start by deciding which system owns each fact and how records match across systems. Then the integration can handle updates, corrections and late arrivals deliberately.
Scope of work
Pipelines with quality checks
Validate required fields, detect duplicates and compare counts between source and destination. Isolate failed records so one malformed entry does not hide the rest of a batch.
Data for reporting and AI
Prepare a documented data model with timestamps, definitions and access rules. Give analysts and AI applications a source they can inspect rather than another unexplained copy.
A working example
Keep a payment event from becoming two invoices
An illustrative connection between billing, payments and the CRM.
- 01
Receive
Record the provider’s event identifier and validate the payload.
- 02
Match
Find the existing invoice using a stable reference rather than a customer name.
- 03
Apply
Update the owning system once and record any downstream changes still waiting.
- 04
Reconcile
Compare settled payments to invoices and put unresolved records into a review queue.
Built to hand over
What you receive
This service covers data movement and consistency, with or without AI. If the next step is to let a model read or act on that data, AI integration handles that application boundary.
- Source-of-truth and field mapping documentation
- Versioned connectors and transformation code
- Quality checks, reconciliation and failure queues
- Recovery instructions and named data owners
About integration & data
We check whether it supports approved exports, imports or database access. The available access determines update frequency and reliability. We explain those limits before designing the connection.
Use stable event identifiers, record processing state and make repeated operations safe to retry. Reconciliation checks catch the cases that still need a person to inspect them.
Let's talk about integration & data
Tell us what you want to change, what you run today and who will use the result.