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Feith
AI in Feith · Analytics

Dashboards that build themselves.

Describe what you want to see in plain English. AI Dashboards reads the shape of your records data, recommends the right charts, and hands you a working dashboard in the Dashboard iQ designer: no ETL, no BI ticket, no waiting.

Request a walkthrough All six capabilities ›
0 ETL pipelines to buildReady-to-use metadata flows straight into the visualizer
Minutes From brief to dashboardWhere a BI request once took days or weeks
1 Plain-English briefDescribe the questions; the Dashboard Agent takes it from there
You Decide every widgetThe AI recommends; you stay in control in the designer
The problem

A dashboard on your records used to be a project.

The questions leadership keeps asking (where's the backlog, what's overdue, which unit is behind) sit locked inside records nobody has charted. Getting them onto a dashboard meant standing up a pipeline and waiting on a BI team.

Weeks of ETL before a single chart

Before anything reached a dashboard, someone had to extract, transform, and load the data: a project in itself.

Every question was a BI ticket

The analysts who knew the questions couldn't build the answers; they queued behind a specialized BI team.

The answers were already in your records

Records activity, captured metadata, schedule matches: the data existed, just nowhere you could chart it.

The metadata is already there. Something just has to turn a plain-English question into the right chart.
What it does

From a plain-English brief to a working dashboard.

Feith already holds ready-to-use metadata and feeds it straight into the visualizer, so your analysts drag and drop widgets on day one.

  • Generates a dashboard foundation in seconds, then hands it to the Dashboard iQ designer for refinement.
  • Refreshes in real time as new records arrive, and a follow-up request in plain English reshapes the view in place.
  • Charts and the record-level detail table read from the same file cabinet, so every total ties back to the reports behind it.
  • Works on metadata Prompt Runner extracted, metadata captured at ingest, and Feith's native records-activity logs.
Analytics on day one: define the fields you want, let the model populate them, and visualize in minutes — no code, no specialized analytics team.
Worked example
How it works

Every record, scored, sorted, and surfaced into live oversight metrics.

Feith AI reads, categorizes, and tracks each report as it moves through review, then rolls it all up into a dashboard your oversight team can act on in real time.

Auto-categorized

Every report is classified by type the moment it lands, and its request status tracks automatically as it moves through review, with no manual tagging.

Live oversight

Totals, statuses, and remediation progress update continuously as records move through review.

Decision-ready

AI surfaces bottlenecks and anomalies so oversight teams act on what matters first.

In practice

What teams put on the wall.

The same engine, pointed at a different file cabinet with a different brief. A few of the dashboards agencies build:

Compliance

Incidents, policy violations, and flagged content, in real time

Track risk the moment it appears.

Customer experience

Complaint types, sentiment trends, and response times

See where service breaks down.

Contract & vendor

Renewal deadlines, obligations, and risk factors

Manage the whole portfolio at a glance.

Incident reporting

Patterns across safety incidents and security threats

Spot trends as they form.

HR analytics

Onboarding timelines, performance, and retention

Spot retention and onboarding gaps early.

Explore the rest of AI in Feith

Five more capabilities, each its own deep-dive.

These are the other capabilities in the AI in Feith family — separate tools that each share the same permission model, the same audit trail, and your choice of large language model.

01

Record Insight

Categorize records against your retention schedule, with the reasoning shown.

See the deep-dive 02

Prompt Runner

Run custom AI prompts across record sets for extraction, routing, and reasoning.

See the deep-dive 04

Ask Me

Chat with your records: permission-aware, and cited to the source.

See the deep-dive 05

AI Redaction

FOIA, PII, and CUI redaction suggestions, with reasoning, reviewer-approved.

See the deep-dive 06

Feith MCP

Connect Claude, Copilot, OpenAI, or in-house agents to your Feith content.

See the deep-dive
Back to AI in Feith ›
Get started

Stop counting records. Start seeing what they contain.

Bring a file cabinet and the questions your leadership keeps asking. We'll generate the dashboard live and refine it in the designer with you.

Request a walkthrough