Build an AI-native government operations platform designed to process massive volumes of digital service requests with speed, traceability, and policy integrity.
Objective:
Create infrastructure that enables local, state, and federal agencies to handle the coming surge of AI-assisted applications and form submissions — without scaling headcount.
This is not just case management software.
It is an AI-native processing engine for digital government.
Core vision:
As AI tools make it easier for citizens and businesses to generate and submit applications, government agencies will face exponential increases in volume.
This platform enables agencies to:
- Automatically validate and triage incoming submissions
- Apply policy rules deterministically
- Route cases intelligently
- Generate draft decisions
- Maintain full legal auditability
- Dramatically reduce backlog and processing times
Core system architecture:
1. Intelligent Intake Layer
- Structured digital forms with dynamic logic
- Policy-aware validation before submission
- Required-document prediction and completeness checks
- Fraud and anomaly detection at intake
- Identity and eligibility pre-screening integrations
Goal: prevent incomplete or invalid submissions from entering queues.
2. AI-Native Triage and Routing Engine
- Classify request type and urgency
- Predict processing complexity
- Identify missing information
- Suggest optimal routing path
- Assign confidence score for auto-approval vs manual review
High-confidence cases can be auto-processed within policy guardrails.
3. Policy Execution Engine
- Configurable rules engine tied to legal policy
- Effective-date versioning of regulations
- Deterministic decision logic
- Simulation mode for proposed policy changes
- Clear separation between policy logic and AI suggestions
AI can recommend, but policy rules execute.
4. Case Lifecycle System
- Full case timeline with every action and decision
- Document ingestion, extraction, and summarization
- SLA-aware queue management
- Escalation workflows
- Reopen and appeal tracking
Every action must be traceable and reviewable.
5. AI Copilot for Government Staff
- Draft decision letters
- Summarize complex case histories
- Highlight inconsistencies
- Recommend next steps based on precedent
- Surface similar prior cases
Copilot augments staff, but preserves human oversight.
6. Performance and Backlog Intelligence
- Real-time backlog heatmap
- Average processing time by program
- SLA compliance tracking
- Reopen rate and error analysis
- Staff capacity forecasting
- Budget impact projections
Focus: measurable improvements in cost and responsiveness.
7. Compliance and Oversight Infrastructure
- Immutable audit logs
- Decision traceability
- Policy version tracking
- Redaction workflows
- Role-based document access
- Oversight-ready reporting exports
Roles:
- super-admin
- agency-manager
- case-worker
- reviewer
- auditor
8. Secure, Multi-Agency Architecture
- Strong tenancy isolation
- Jurisdiction-specific configurations
- Secure document storage
- Deterministic replay of decision workflows
- Observability across background processing
Data model:
- agencies
- service-programs
- request-cases
- applicants
- case-documents
- policy-rules
- triage-scores
- routing-rules
- case-notes
- decisions
- escalations
- audit-events
- performance-metrics
Infrastructure requirements:
- High reliability and uptime
- Strict permissioning
- Secure data handling compliant with public sector standards
- Full auditability for legal defensibility
- Configurable workflows per agency
Positioning summary:
This is not just workflow software.
It is AI-native digital government infrastructure that enables agencies to:
- Handle exponentially higher submission volumes
- Reduce backlogs dramatically
- Improve consistency and fairness
- Lower processing costs
- Increase citizen responsiveness
It transforms government from manual paper-based processing into scalable, policy-driven digital operations.
Create a modern startup design inspired by Y Combinator (YC) companies.
Choose one bright primary color and build a clean, minimal color scheme around it.
The design should feel bold, simple, and product-focused with strong typography, generous whitespace, and clear hierarchy.
Y Combinator's Requests for Startups · Spring 2026
AI for Government
Requested by Jared Friedman · ycombinator.com/rfs