DSharp Scout is a governed AI layer on top of what you already publish.
It reuses your existing metrics and definitions to produce consistent answers and build-ready outputs (requests, specs, mappings) for reporting and applications.
DSharp Scout sits on top of your current published layer and makes it usable beyond individual reports across teams, tools, and applications.
Ask in plain language, and Scout responds only from the assets you already use: reports, datasets, views, KPI definitions. And always with traceability and ownership.
Then it turns the result into something you can execute: a clean request/spec, impact notes, or an integration-ready output so delivery cycles shorten without changing your stack.
No SQL or Python needed to get a correct, reusable starting point.
Find when you don’t know where to start
Explain when you need confidence & traceability
Act when you want a build-ready output
Same entry and answers, plus build-ready outputs.
Most assistants help within a single product (one report, one workspace, one catalog) and can’t reliably reuse definitions across the stack.
Scout is foundation-scoped.
One question in. Reusable output.
Want to reuse what you already publish so reporting and applications stay consistent, and delivery cycles shorten?
Book a short session, and we’ll show how to get started.
