Capability 06 · Engineering

The same customer exists
in three systems, three ways.

An integration flow for operations running on several core systems that don’t connect cleanly — held together by exports, scripts, and manual fixes.

Integration layerField validationRetry logicSync logs
02

The situation

The systems don't talk. People do.

Three to seven core systems run the business. They don’t connect cleanly, so data moves through exports, imports, and the occasional script.

The same customer exists in three places with three addresses. When a sync fails, nobody notices until something downstream is wrong.

People are the integration layer — and they find out about failures last.

03

The challenge

An integration nobody can see is just a hidden dependency.

Moving data between systems is easy to start and hard to trust. A quiet script that breaks at month-end can do real damage.

The hard part is doing it safely: mapping the data, validating key fields, handling errors, and making every sync visible.

A failure should surface in minutes, with context — not as a mystery weeks later.

04

The capability

Data entered once, matched everywhere, observed throughout.

We build the integration layer between your systems. It maps the data, validates the key fields, handles errors, and retries safely.

Every sync is logged, and failures raise an alert with enough context to act.

The business gets a controlled connection — not another script nobody can see.

05

How the flow works

01The data is mapped across the systems
02Field mappings and rules are defined
03The integration moves each record once
04Key fields are validated in transit
05Errors are caught, retried, and surfaced
06Every sync is logged with detail
07Failures raise an alert with context
08Master data stays consistent across systems
06

Before / after

Before

Data is exported, imported, and fixed by hand. The same record exists in several systems, slightly different in each.

After

Data is entered once and matched everywhere through a controlled, observable integration. Failures show up in minutes, not at close.

07

Controls

  • Validated field mappings
  • Retry logic on failure
  • Full sync logs
  • Alerts when a sync fails
  • No duplicate entry
  • Clear ownership of the integration
  • Sensitive data handled to policy
  • One agreed system of record
08

Where this applies

ERP integrationsCRM syncFinance connectionsPartner APIsMiddlewareMaster data
09

What changes

Data entered once
No double entry
Failures detected in minutes
Systems that agree
Clean master data
A connection you can see
10

Questions about integration

Do we have to give an AI model access to our ERP?

No. The model works against a controlled layer that exposes only the data it needs, in a fixed shape. Your source data stays where it is, and nothing is written back without an explicit step that is logged.