Data & RevOps
Riley for Data & RevOps
Every AI request in the company eventually lands on your desk. Here is what Riley takes off it, what it leaves alone, and what it costs you to run.
Four projects you don’t staff
Every AI project needs the same four things before it works: one customer key that holds across systems, one definition per metric, data that is current, and a trail back to source.
Built in-house that is a master data project, a semantic layer, orchestration, and somebody on call. Riley runs all four as a managed layer.
Keep your stack
Your warehouse stays the store. Your CRM stays the system of record. Existing models keep working.
Riley reads from them and holds the agreements on top. It does not become a second copy of your data or a second place definitions live.
One glossary, not one per team
Metrics are defined once and enforced everywhere, so Sales and Finance stop maintaining private versions.
The business owns the definition. Riley enforces it and shows every number’s lineage, which means a disputed figure gets settled by looking rather than by meeting.
No new on-call rotation
Connect sources, no migration. Riley maintains the pipelines and makes staleness visible instead of silent.
New systems, new metrics, and acquisitions don’t reopen the project.