Records are copied between tools and drift out of sync.
Connect + structure
Operithm connects the systems that hold customers, work, documents, payments, projects, and reporting - then makes the data movement visible and recoverable.

Recognize the friction
Moving data is the easy demo. Real integration work defines identity, ownership, order, duplication, limits, and recovery.
One system has the latest status while another triggers the action.
Duplicate events create repeated messages or work.
Exports hide errors until reporting time.
Staff need broad permissions to perform narrow tasks.
A critical vendor has limits the workflow ignores.
System capabilities
API and webhook integrations
Event-driven exchange with validation, authentication, limits, and useful error records.
Scheduled synchronization
Controlled recurring jobs for systems without real-time events.
Data normalization
Map inconsistent fields, identities, statuses, dates, and formats.
Migration utilities
Move approved data with reconciliation, rollback planning, and completeness evidence.
Operational data layers
Place one structured service between source tools and dependent interfaces.
Reporting pipelines
Assemble source data into validated, repeatable reporting inputs.
Build boundary
The system should be clear about what it handles, who remains accountable, and what happens when the designed route cannot continue.
Source
Which system tells the truth for each field and state?
Identity
What makes an event unique, and what happens when it repeats?
Failure
What happens late, out of order, unavailable, or unauthorized?
Recovery
Who owns the credential, replay, correction, and reconciliation?
Start with the stuck part