Citizen Data Management System
Budget: ₹600 – ₹1,500 INR
GOVERNMENTS TODAY MANAGE MILLIONS OF CITIZEN INTERACTIONS
Such as:
– Scheme registrations
– Grievances
– Helpline calls
– Field surveys
But outreach is fragmented.
Grievances remain paper-bound.
Citizen queries overwhelm departments.
The result:
Delays.
Friction.
Governance Labs and Data solves for this.
We help governments gather, interpret, and act on citizen data at scale.
Our Citizen Engagement Engine enables districts to reach over 10,000 citizens in minutes — through human-like AI conversations across voice and messaging channels. Assisting with scheme registrations, clarifying benefits, and conducting large-scale surveys.
Administrators receive real-time, decision-ready action recommendations.
Our Grievance Management System works with handwritten complaints and converts them into a structured, trackable system for better oversight.
GLAD’s GovGPT deploys guardrailed AI agents trained for niche government services. In District Development Authorities, GovGPT helps architects understand map approval processes within minutes.
These GPTs are deployed across websites, WhatsApp, and voice — ensuring accurate, policy-aligned responses to citizen queries.
Trusted by leading public institutions including:
– National Health Mission
– State Governments
– Ministry of Women and Child Development
– Jal Jeevan Mission
– CM Helpline
Governance Labs and Data
Intelligence for Public Systems
FRAMES
SCENE 1 — THE GOVERNANCE LOAD (0–10 sec)
Frame 1
White background.
Minimal India outline in faint grey.
Dots appear gradually.
Text:
Millions of Citizen Interactions
Frame 2
Clean text blocks fade in:
– Scheme Registrations
– Grievances
– Helpline Calls
– Field Surveys
Everything fades slightly.
Bold text appears:
Fragmented Systems.
Then:
Delays.
Friction.
Minimal authority. No stock footage.
SCENE 2 — GLAD POSITIONING (10–16 sec)
White screen.
GLAD logo fades in.
Under it:
Gather. Interpret. Act.
Animated abstract connectors:
Voice → Data
Paper → Structured Fields
Chat → Dashboard
SCENE 3 — CITIZEN ENGAGEMENT ENGINE (16–30 sec)
Frame 1
District map (Uttarakhand outline in subtle blue).
10,000 dots light up smoothly.
Text:
10,000+ Citizens
Reached in Minutes
Frame 2
Minimal phone waveform on white.
Clean messaging UI mockup.
Frame 3
Dashboard zoom:
– Connected
– Interested
– Follow-Up Required
– Survey Completed
Text:
Real-Time. Decision-Ready.
Serious MIS visual style.
SCENE 4 — GRIEVANCE MANAGEMENT SYSTEM (30–42 sec)
Frame 1
Scanned handwritten complaint.
OCR highlight animation.
Frame 2
Auto-filled structured fields.
Frame 3
Workflow pipeline:
Received → Assigned → In Progress → Resolved
Text:
Structured. Trackable. Accountable.
SCENE 5 — GovGPT (42–52 sec)
White screen.
UI mockups:
– Website chat window
– WhatsApp conversation
– Voice waveform
Example:
“Map Approval Process – Step 1, 2, 3”
Small shield icon.
Text:
Policy-Aligned Responses
SCENE 6 — TRUSTED BY (52–57 sec)
White background.
Logos appear sequentially.
Monochrome.
Text:
Trusted by Leading Public Institutions
SCENE 7 — CLOSE (57–60 sec)
White fades to soft grey.
GLAD logo centered.
Under it:
Governance Labs and Data
Intelligence for Public Systems
Fade out.
ASSET LIST — PRODUCTION CHECKLIST
Graphic Assets
– India vector map (minimal outline)
– Uttarakhand district outline (vector)
– Dot animation layer
– Waveform animation
– Messaging UI mockup
– Website chatbot UI mockup
– SLA pipeline graphic
– Shield line icon
– Clean line icon set
Screenshots Needed
– Citizen Engagement dashboard
– Survey results dashboard
– Grievance tracking dashboard
– GovGPT response example
Important:
Remove clutter.
Increase font sizes.
Polish before recording.
Logo Files (High Resolution)
– National Health Mission
– Govt Uttarakhand
– MWCD
– Jal Jeevan Mission
– CM Helpline
– DDA Udham Singh Nagar
Convert all to monochrome.
Such as:
– Scheme registrations
– Grievances
– Helpline calls
– Field surveys
But outreach is fragmented.
Grievances remain paper-bound.
Citizen queries overwhelm departments.
The result:
Delays.
Friction.
Governance Labs and Data solves for this.
We help governments gather, interpret, and act on citizen data at scale.
Our Citizen Engagement Engine enables districts to reach over 10,000 citizens in minutes — through human-like AI conversations across voice and messaging channels. Assisting with scheme registrations, clarifying benefits, and conducting large-scale surveys.
Administrators receive real-time, decision-ready action recommendations.
Our Grievance Management System works with handwritten complaints and converts them into a structured, trackable system for better oversight.
GLAD’s GovGPT deploys guardrailed AI agents trained for niche government services. In District Development Authorities, GovGPT helps architects understand map approval processes within minutes.
These GPTs are deployed across websites, WhatsApp, and voice — ensuring accurate, policy-aligned responses to citizen queries.
Trusted by leading public institutions including:
– National Health Mission
– State Governments
– Ministry of Women and Child Development
– Jal Jeevan Mission
– CM Helpline
Governance Labs and Data
Intelligence for Public Systems
FRAMES
SCENE 1 — THE GOVERNANCE LOAD (0–10 sec)
Frame 1
White background.
Minimal India outline in faint grey.
Dots appear gradually.
Text:
Millions of Citizen Interactions
Frame 2
Clean text blocks fade in:
– Scheme Registrations
– Grievances
– Helpline Calls
– Field Surveys
Everything fades slightly.
Bold text appears:
Fragmented Systems.
Then:
Delays.
Friction.
Minimal authority. No stock footage.
SCENE 2 — GLAD POSITIONING (10–16 sec)
White screen.
GLAD logo fades in.
Under it:
Gather. Interpret. Act.
Animated abstract connectors:
Voice → Data
Paper → Structured Fields
Chat → Dashboard
SCENE 3 — CITIZEN ENGAGEMENT ENGINE (16–30 sec)
Frame 1
District map (Uttarakhand outline in subtle blue).
10,000 dots light up smoothly.
Text:
10,000+ Citizens
Reached in Minutes
Frame 2
Minimal phone waveform on white.
Clean messaging UI mockup.
Frame 3
Dashboard zoom:
– Connected
– Interested
– Follow-Up Required
– Survey Completed
Text:
Real-Time. Decision-Ready.
Serious MIS visual style.
SCENE 4 — GRIEVANCE MANAGEMENT SYSTEM (30–42 sec)
Frame 1
Scanned handwritten complaint.
OCR highlight animation.
Frame 2
Auto-filled structured fields.
Frame 3
Workflow pipeline:
Received → Assigned → In Progress → Resolved
Text:
Structured. Trackable. Accountable.
SCENE 5 — GovGPT (42–52 sec)
White screen.
UI mockups:
– Website chat window
– WhatsApp conversation
– Voice waveform
Example:
“Map Approval Process – Step 1, 2, 3”
Small shield icon.
Text:
Policy-Aligned Responses
SCENE 6 — TRUSTED BY (52–57 sec)
White background.
Logos appear sequentially.
Monochrome.
Text:
Trusted by Leading Public Institutions
SCENE 7 — CLOSE (57–60 sec)
White fades to soft grey.
GLAD logo centered.
Under it:
Governance Labs and Data
Intelligence for Public Systems
Fade out.
ASSET LIST — PRODUCTION CHECKLIST
Graphic Assets
– India vector map (minimal outline)
– Uttarakhand district outline (vector)
– Dot animation layer
– Waveform animation
– Messaging UI mockup
– Website chatbot UI mockup
– SLA pipeline graphic
– Shield line icon
– Clean line icon set
Screenshots Needed
– Citizen Engagement dashboard
– Survey results dashboard
– Grievance tracking dashboard
– GovGPT response example
Important:
Remove clutter.
Increase font sizes.
Polish before recording.
Logo Files (High Resolution)
– National Health Mission
– Govt Uttarakhand
– MWCD
– Jal Jeevan Mission
– CM Helpline
– DDA Udham Singh Nagar
Convert all to monochrome.