What is enterprise systems integration?
Enterprise systems integration is the design and construction of the connections that let ERP, CRM, core systems, digital channels and third-party applications exchange data and run processes reliably. Metatech Perú implements it with versioned APIs, event messaging, explicit error handling and observability, instead of point-to-point connections that are hard to maintain.
Who it is for
- Companies with several systems that do not share data, or do so through files and manual steps.
- Technology teams that inherited point-to-point integrations with no documentation or monitoring.
- Organizations that must expose services securely to channels, partners or customers.
The problem it solves
- Different data in each system: the order in the CRM does not match the ERP and nobody knows which is right.
- Integrations that fail silently and are discovered when a customer complains.
- Every new channel or vendor needs an integration from scratch because there are no reusable APIs.
- Dependence on one person or vendor who alone understands how systems are connected.
How it works
Inventory and sources of truth
We establish which systems exchange which data and decide who owns each piece. Without that decision, any integration simply replicates the mess.
Contract design
We specify APIs and events before coding: fields, errors, versions and delivery guarantees. The contract is validated with the teams that will consume it.
Resilient implementation
We build with retries, idempotency and partial-failure handling. Whatever cannot be processed stays in a visible queue; it is not lost.
Observability and operations
Every message is traceable. Alerts fire before the problem reaches the business, and documentation lets another team run the integration.
What we deliver
- A map of current integrations: systems, data, frequency and failure points.
- The source of truth for each business entity (customer, product, order, balance).
- Documented API contracts (OpenAPI) and versioned event schemas.
- Integration services with retries, idempotency and error queues.
- Authentication, authorization and usage limits per API consumer.
- Monitoring dashboards and alerts per integration, with end-to-end traces.
What it integrates
When it makes sense
It makes sense when
- More than two systems need the same data.
- Current integrations cause rework or complaints.
- You are adding channels, partners or AI agents that will consume existing capabilities.
- You need to know where each transaction is at any time.
Another option is better when
- The exchange is occasional and a controlled manual step is enough.
- The source system will be replaced in the short term.
- The real problem is data quality at the source, not its transport.
Typical scenarios
Order to cash, end to end
An order created in ecommerce or CRM is recorded in the ERP, reserves stock, issues the invoice and notifies the customer, with each step traced and retried on failure.
Partner APIs
Distributors or partners query stock, prices and order status through an authenticated API with usage limits and public documentation for their technical teams.
Integration layer for AI
AI agents read and record information through APIs with scoped permissions, with no direct access to the databases of systems of record.