A production update fails, but nobody knows whether the receiving system saved it. GTMI follows the information between systems to find what went wrong and establish a safe way to recover.
For OT, IT, and operations teams dealing with unreliable equipment data, enterprise write-back, or unclear support ownership.
Event + source data
Retry · duplicate prevention · escalation
ERP · quality · labels
Recovery behaviour belongs in the interface contract.
Production and enterprise systems may disagree about what happened. The operator sees an error while the receiving system has accepted the transaction, or the line continues with data that does not reach quality. When nobody can establish the transaction state or who owns the fault, support falls back on manual workarounds.
Capture the source data and transaction identity.
Persist the state needed for recovery.
Apply the agreed retry and escalation rules.
Confirm what the receiving system accepted.
We trace the production event through the interface, middleware, network boundary, and receiving system. Logs, source data, acknowledgements, and support history show where state becomes uncertain. The review checks certificates, authentication, version changes, and the assumptions each system makes about the other.
Define what acknowledgement means, how duplicate writes are prevented, which faults can be retried, and when a person must act. Where the process permits it, a local transaction record, outbox, and worker can separate production execution from later enterprise delivery. The permitted operating and data-integrity behaviour determines the design.
Test more than a successful connection. The scope should cover timeouts, duplicate delivery, expired credentials, unavailable dependencies, and recovery after an outage. We pair those scenarios with support ownership and validation impact so the interface can be operated after handover.
The service pages explain the work you can commission, the outputs and how it fits alongside your team.
The service explains the contribution and the decisions its outputs support. Where an example is shown, it uses fictional manufacturing data.
No. An outbox is one option where the process permits delayed enterprise delivery. The required response time, transaction ownership, and data-integrity constraints determine whether it fits.
Yes. We review the available contract, logs, implementation, and support history with the people responsible for each system. Access and vendor cooperation determine how far the assessment can go.
Describe a recent failure, the systems involved and what support did to recover it. We can discuss whether the first step is a contract repair, a different delivery pattern, or a clearer operational support path.