01 · A practical approach
The Otematik approach
If a sync reports success but record counts fall, validate data quality before any automated replay.
02 · From input to review
The workflow
Required information
A nightly data import misses its completion time and morning reports lack records.
What the AI assesses
Check pipeline timing and row-count thresholds, then notify owners of affected datasets.
03 · OTEMATIK AI
What your team receives
Deliverable: Delayed and failed pipeline queue. Success metric: Time to detect sync failures.
Implementation scope and requirements
Authorization, approval steps and exception owners are agreed with your team during setup.
Product-wide scope and access conditions
Implementation is scoped after checking access and data in the customer’s systems; no prebuilt connection is assumed.