Story
IBM
RampRamp Extends IBM Instana Across Applied AI Delivery
Ramp, a financials organization in the United States, uses IBM Instana from IBM to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | Model serving can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for model serving |
| Capability | Applied AI delivery stays visible to adjacent teams through IBM Instana |
Story
Ramp did not need another dashboard that nobody opened. It needed applied AI delivery to move. In the United States, ML and product teams already knew where model serving went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
IBM Instana from IBM is now in that path. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. The company treats it as production tooling for applied AI delivery, which is why ML and product teams live in it rather than exporting from it once a quarter.
Ramp can show how model serving is handled today. That is the value: a repeatable way to run applied AI delivery on software the rest of the industry already recognizes.
