Citizen Services
Long wait times and complex procedures frustrate citizens
AI inGovernment & Public Sector
Citizen requests, documents and case handling
We work on citizen request handling, document intake, and case reporting, inside documented identity, eligibility and exception rules, with the decision staying with the responsible officer.
Who is involved
- Residents, service users, and civil-society representatives
- Frontline caseworkers and service owners
- Policy, legal, records, procurement, and finance teams
- Privacy, security, audit, accessibility, and digital teams
Document search and correspondence drafting
Bring your current process and a sample document. We assess the scope, connections to your software and cost, then propose a first stage.
Tell us about your projectBefore the build, we define
- What you will receive
- Which data and permissions are needed
- How quality and delivery are assessed
How government & public sector work is organised
Public-sector AI affects rights, access to services, public money, records, and trust. A responsible project starts with a clear public need, lawful authority, accessible service design, transparent accountability, representative engagement, and a route for human review and appeal.
Workflows and the data behind them
Workflows
- 01Public information and service navigation
- 02Application intake, document extraction, and completeness checks
- 03Case triage and workload planning
- 04Inspection or service-demand planning
- 05Policy research, consultation analysis, and public reporting
Data these workflows depend on
- 01Authoritative service rules, forms, eligibility criteria, and effective dates
- 02Applications, documents, case states, decisions, reasons, and appeals
- 03Demand, queue, service-level, staffing, geographic, and accessibility data
- 04Public records, consultation responses, complaints, and quality reviews
- 05Model output, human review, overrides, incidents, and audit evidence
Common problems in government & public sector
Application intake
Citizen applications arrive on paper and in scans, and every field is re-keyed
Service capacity
Demand for each service is not visible early enough to plan staffing around it
Data Management
Siloed data prevents effective decision-making
Use-case patterns
Each pattern is a starting point for a bounded pilot. Architecture and models are chosen after your data and constraints are understood, and the result is measured against your own baseline.
Citizen Chatbots
A Persian assistant for published procedures and eligibility questions, escalating anything case-specific to staff
Document Intelligence
Automated processing and verification of applications
Resource Optimization
AI-driven planning for public services and infrastructure
Analytics Platform
Unified data analytics for evidence-based policy making
Pilot designs we propose
- 01
Information assistant: answer questions for one service from authoritative sources, cite the applicable rule, support accessibility and language needs, and measure correctness, successful navigation, escalation, and unresolved queries.
- 02
Document intake assistant: extract a bounded set of fields and flag missing items without deciding eligibility; measure accuracy, correction effort, processing time, accessibility, and differential error rates.
- 03
Planning support pilot: forecast service demand for resource planning, with published assumptions and human approval; measure error, service-level impact, geographic equity, and response to unusual events.
Safeguards that stay in place
- 01Do not make unappealable automated decisions about rights, eligibility, enforcement, or access
- 02Provide notice, explanation, human review, correction, complaint, and appeal routes
- 03Use lawful, necessary, proportionate data with security, retention, procurement, and vendor controls
- 04Assess accessibility, language, group impact, transparency, auditability, and public legitimacy
What we ask before proposing anything
- 01What public need and legal authority justify the proposed use?
- 02Does the system inform, assist, recommend, prioritize, or decide?
- 03Which groups may face higher error or access barriers?
- 04How will a person understand, correct, challenge, or appeal an outcome?
- 05What transparency, audit, procurement, records, security, and public-engagement duties apply?
Questions about AI in government & public sector
How can we reduce wait times for citizen services?
A pilot can automate one well-defined intake or triage step and compare queue time, completion, accessibility, error, and staff review with the current process. Public-service owners define the rules and retain decision authority.
Is there an AI that can process government documents automatically?
Document intelligence can extract fields and classify an approved form set for human verification. A pilot should measure completeness, correction rate, processing time, privacy, and accessibility before any workflow expansion.
How can we answer routine citizen questions outside office hours?
A Persian assistant can answer approved informational questions and guide users through published procedures. Availability depends on the agreed service architecture, while identity, eligibility, exceptions, and formal decisions require secure systems and human escalation.
Can AI help with better resource allocation and planning?
Analytics can present demand patterns and planning scenarios from approved data. Policy owners should review assumptions, fairness, service impacts, and uncertainty before using a scenario in a public decision.
How secure is AI for government operations?
Security must be designed from the responsible agency's data classification, hosting policy, access controls, logging, retention, and incident requirements. No compliance claim should be made until the agency and its authorized assessors verify the implemented controls.
Frameworks and sources behind these pages
- OECD: G7 Toolkit for Artificial Intelligence in the Public Sector
Practical public-sector framework for enablers, guardrails, implementation, and trustworthy adoption.
- OECD: Enablers, guardrails and engagement for trustworthy AI
Governance guidance emphasizing guardrails, transparency, auditing, and engagement.
Related guides and services
Suggested service to start with in this industry
Document automation and Persian OCRRelated articles
- The Digital Public Servant: How AI is Transforming GovernmentHow public agencies can use AI for services and policy analysis with lawful authority, usable transparency, accessibility, procurement controls, and appeal.
- The Local Voice: AI in Persian NLP and LocalizationPersian AI systems need more than translation: they need morphology, writing conventions, cultural context, retrieval quality, and careful evaluation.
- The Deletion Graph: An Erasure Playbook for AI SystemsA practical method for tracing personal data through AI pipelines, choosing deletion, rebuild, retraining, or unlearning, and proving that derived artifacts stay clean.
- The Tenant Boundary: Isolation for Shared AI SystemsA field guide to deciding what may be pooled, what must be siloed, and how to keep retrieval, memory, caches, tools, logs, and evaluations inside the right customer boundary.
Start with one government & public sector workflow
Bring the process that costs the most time today. We look at the current baseline, the available data, and where a person must stay in the loop, then say whether a pilot is worth running.