ServiceCore
AICoreNovember 2026

ReportCoreAI

Build reports and dashboards with plain language.

What it does

ReportCoreAI turns plain-language questions into live ITSM dashboards in seconds, auto-selecting charts and explaining every filter and source.

  • Resolves a plain-language question into a metric, dimension, time range, and filter set, then generates a working dashboard in seconds.
  • Automatically selects the best visualization (bar, area, pivot, or KPI) for each question based on the data.
  • Pulls and joins only the relevant tables across incidents, CMDB, service levels, assets, and the service catalog.
  • Shows the intent it detected, the filters it applied, and the source data it used, so every figure is traceable.
How it works

From signal to outcome

1

Intent parsing

The natural-language question is decomposed into a metric, dimension, time range, and filter set.

2

Data source binding

Only the required tables from incidents, CMDB, service levels, assets, and the catalog are dynamically joined.

3

Visualization selection

A bar, area, pivot, or KPI component is chosen automatically based on dimension count and data type.

4

Explainable output

An interpretation panel presents the applied filters, the data sources, and a confidence score alongside the result.

In practice

The situation

Twenty minutes before an executive meeting, a service manager needed a visualization showing which branch offices drove the most mail-service incidents over the last 90 days and how the trend was moving.

The outcome

From a single sentence, ReportCoreAI produced a dashboard with three KPIs, a bar chart, an area chart, and a pivot table in 1.4 seconds, complete with an interpretation panel. The manager walked into the meeting with no prebuilt template, and leadership saw the trend break at a glance.

FAQ

Common questions

Every dashboard ships with an interpretation panel that shows the intent ReportCoreAI detected, the exact filters and time range it applied, the source tables it queried, and a confidence score, so you can validate the result before presenting it.

See ReportCoreAI in your workflow.

Book a demo and we'll show ReportCoreAI working inside the platform — on your real tickets and data.