National Civic Intelligence Layer

AIforGhana Complaint OS

Booting multilingual intake, triage intelligence, case orchestration, regional heat mapping, and executive analytics.

Initializing simulation environment…
Live directive: Citizen signal ingestion active • Triage SLA monitor online
AIforGhana Civic Operations

Complaint OS — Cinematic Demo

Smart complaint intake, translation, classification, routing, operations, and executive intelligence

Civic-Tech Demomultilingual signal intake

Turn citizen complaints into actionable public intelligence

Designed to reflect the AIforGhana complaint backend schema: multilingual intake, language detection, translation, category classification, priority scoring, routing, investigation workflow, SLA monitoring, and executive analytics.

1,248 Total cases simulated
94% Triage confidence
5 Live service domains
English • Arabic • Hausa • Dagbanli • Twi Health • Utility • Education • Transport • Roads Severity scoring • SLA alerts • Geo-routing • Admin analytics English • Arabic • Hausa • Dagbanli • Twi Health • Utility • Education • Transport • Roads Severity scoring • SLA alerts • Geo-routing • Admin analytics

Live signal scan

neural intake pulse
Current directive
Reduce high-severity road hazards in under 24h
System state
Prediction engine synchronized
Role: Admin Scene: Citizen Intake Backend shape: translate • detect • classify • submit • status • admin

Citizen Complaint Intake

Multilingual intake aligned to your Smart Complaint System categories and pilot translation flow.

citizen-facing
Attach supporting photo or voice note
Simulates image or voice-assisted complaint capture during the pilot phase.

Operations & Triage Desk

Case queue, confidence scores, severity signals, routing, and field action sequence.

admin-facing

Live triage queue

12 active

Case timeline

CASE-2026-001

Regional Intelligence View

Hotspot visualization and domain concentration for strategic intervention.

geo-analytics

Hotspot field

simulated Ghana grid

Regional case spread

last 30 days
Highest pressure zone
Greater Accra • Roads
Fastest response region
Volta • Utilities

Executive Dashboard

Command-level metrics for public service reliability, complaint velocity, and closure performance.

command center
Complaints this month
1,248
↑ 12% from previous month
Resolved within SLA
82%
Target 85%
High severity open
73
Requires executive watchlist
Avg. closure time
2.8d
Improved by 0.6 days

Service category composition

weighted mix

Executive signals

policy cues
Road safety incidents climbing in peri-urban corridorsurgent
Recommend targeted road repair sprint with district engineering units.
Utility complaints show better closure disciplinestable
Response playbook can be replicated across health and transport desks.
Translation-assisted submissions increasing weeklyopportunity
Supports inclusive access strategy for multilingual civic participation.

Citizen Case Tracker

Transparent status journey from submission to field verification and closure.

public trust layer
Complaint received
Submitted in Twi, auto-translated to English, geotag estimated from community marker.
AI triage completed
Classified as Roads • High severity • Confidence 94%.
District routing triggered
Assigned to Accra Metro engineering desk with 24-hour hazard response SLA.
Field verification underway
Inspection team dispatched with citizen photo evidence pack.
Pending closure confirmation
Awaiting repair completion and citizen satisfaction prompt.

AI Analysis Output

model response

Guided cinematic walkthrough

1. Inclusive intake

Citizens submit complaints in English, Arabic, Hausa, Dagbanli, or Twi with optional voice and image support.

2. AI triage

Language detection, translation, category classification, severity scoring, and recommended routing happen in one flow.

3. Operations command

Admins monitor queue pressure, case confidence, SLA breach risk, and action timeline.

4. Regional intelligence

Hotspots reveal where service quality is under pressure and where interventions should be concentrated.

5. Executive insight

Leadership sees closure rates, open high-severity risk, and policy-level signals for rapid decision-making.

Select mock role

This simulates role-based visibility across citizen, operator, regional analyst, and executive command views.