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Federal Case Analytics & Bottleneck Detection Plugin

A lightweight, read-only analytics plugin that installs directly into existing federal case management systems (no data extraction, no external cloud). It runs SQL queries against the live case database to surface real-time enforcement metrics: case age by stage, bottleneck detection (cases stuck in review >30 days), investigator caseload imbalance, and case closure rates by field office. Agencies deploy it on their own servers; you provide the SQL templates, dashboard UI, and monthly updates to detection rules.

PLUGIN

29 weeks • 70% confidence

Value Proposition

Delivers case analytics in weeks (not months) without a full system replacement or data migration. Runs on-premise on existing infrastructure—no cloud, no data exfil, no FISMA re-certification. Costs 10x less than enterprise BI tools (Tableau, Power BI) and requires zero IT overhead after deployment. Bottleneck detection catches cases stuck in limbo and automatically flags them to supervisors.

Target Audience

Federal enforcement agencies (ICE, CBP, ATF, HSI) with 200+ active cases in a single legacy system; IT teams that cannot move data off-premise but desperately need visibility into case flow

Key Features

  • Pre-built SQL query templates for common federal case metrics (age, status, investigator load)
  • Real-time bottleneck detection: flags cases in any stage >30 days automatically
  • Dashboard UI (lightweight React, runs in browser on internal network)
  • And more, with full implementation detail...

Tech Stack

SQL (Oracle, SQL Server, PostgreSQL dialects) React (lightweight dashboard UI) Node.js or Python (rule engine, alert runner) SMTP (email alerting)
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Original Problem

Government agencies struggle to modernize legacy case management systems for enforcement operations

Federal agencies like ICE are paying tens of millions to upgrade fragmented, outdated case management systems that can't efficiently track, organize, or analyze enforcement cases across multiple operations. Current solutions fail because legacy systems are siloed, lack real-time analytics, and create operational bottlenecks that slow critical enforcement missions and waste taxpayer money on inefficient processes.

Score: 27.2% • 3 demand signals