Government Agent
Government Agent that automates operations workflows using your data and tools.
The challenge
Applications arrive incomplete, so officers spend their time chasing evidence rather than deciding. Backlogs grow, statutory timescales slip, and citizens receive an outcome they cannot understand or challenge because the reasoning behind it was never written down.
The outcome
Azure AI Document Intelligence verifies identity and supporting evidence, Azure AI Search grounds the assessment in published legislation and guidance, and Azure OpenAI writes the reasoning in plain language. A named case officer makes every statutory decision, and appeal rights always accompany the outcome.
At a glance
- Type
- ai agents
- Category
- industry
01 — Architecture
End-to-end architecture
A citizen submits an application with supporting evidence. Identity and documents are verified, the Foundry agent tests the application against published criteria and writes the reasoning in plain language — but a named case officer makes every statutory or discretionary decision, and appeal rights always accompany the outcome.
- Citizen: Citizen / Officer
- Channels: Azure Static Web Apps, Communication Services
- Application: Azure API Management, Azure Container Apps
- AI & agent: Microsoft Foundry Agent, Azure OpenAI models, Azure AI Search, Azure AI Content Safety
- Data & records: AI Document Intelligence, Azure SQL, Permission trimming
- Decision & insight: Case officer decision, Service workflows, Power BI / Fabric
02 — Workflow
Process & decision workflow
How an application becomes a lawful, explained decision — verify, assess, explain and notify, then branch. Complete and clearly eligible cases progress with the rule cited, while statutory or discretionary judgement goes to a case officer with the evidence and the criteria laid out.
- Apply: Citizen submits a form with supporting evidence
- Verify: Identity, eligibility and documents checked
- Assess: Application tested against published criteria
- Explain: Reasoning written in plain language with the rule
- Prepare: Recommendation packaged for a case officer
- Notify: Outcome, reasons and appeal rights communicated
- Path 1 · complete and eligible — Progress automatically: Service delivered with the rule cited
- Path 2 · statutory or discretionary — Case officer decides: Evidence, criteria and reasoning presented
03 — Components
Key Microsoft components
Public service decisions must be lawful, explainable and consistent — verification, assessment and evidence all stay on the Microsoft stack.
Azure Static Web AppsAccessible citizen services portal and application forms.
Azure Communication ServicesStatus updates, statutory notices and reminders.
Azure API ManagementSecure gateway for registry, identity and payment APIs.
Azure Container AppsService runtime that scales with seasonal demand.
Microsoft Foundry Agent ServiceEligibility assessment and casework orchestration.
Azure OpenAI modelsPlain-language reasoning, translation and summarisation.
Azure AI SearchRetrieval over legislation, guidance and precedent.
Azure AI Content SafetyGuardrails on tone, fairness and unsupported statements.
Azure AI Document IntelligenceReads applications, identity documents and evidence.
Microsoft Entra permissionsLawful-basis boundaries around every citizen record.
Azure Logic AppsCasework routing, statutory clocks and notices.
Azure SQLCases, decisions, reasons and appeal records.
Azure Blob StorageSubmitted evidence and immutable case artefacts.
Power BI / Microsoft FabricDemand, backlog, timeliness and consistency dashboards.
04 — AI
What the agent consumes
The capabilities applied to every application, and the line the agent does not cross.
AI capabilities embedded in the agent
- Form and evidence extraction
- Identity verification
- Eligibility checking
- Retrieval-augmented generation
- Plain-language explanation
- Multilingual and accessible output
- Completeness checks
- Consistency monitoring
- Permission-aware retrieval
- Case summarisation
- Backlog analytics
- Escalation routing
AI responsibility boundaries
The agent guides, checks completeness and prepares a recommendation; a named case officer makes every statutory or discretionary decision. Reasons and appeal rights are always given in plain language, decisions are monitored for consistency and disparate impact, and no citizen record is accessible outside its lawful basis.
05 — Personalization
Personalization & evolving process
The same methodology applies to every agent in the catalog. Tune the service, the casework template, the criteria and the value model — the page structure stays identical.
Service & legislation profile
Define the services, applicable legislation, statutory timescales, languages and accessibility standards in scope. The personas are the citizen, the case officer, the service manager and the appeals body.
Casework template
One consistent flow for every public service agent: apply, verify, assess against criteria, explain, decide, notify with appeal rights and track to conclusion.
Criteria & fairness rules
Declare the published eligibility criteria, evidence requirements, discretion boundaries and the consistency monitoring approach. Discretion always sits with a named officer.
Value model
Capture baseline metrics first, then map the expected benefits: application completeness, processing time, backlog age, rework, appeal volume and citizen satisfaction.
06 — Impact
Key outcomes & business impact
Starting targets for the value case — validate each one against the customer baseline during discovery.
- Application quality90%+Complete submissions because gaps are caught at entry.
- Processing time−45%Verification and assessment run as evidence arrives.
- Officer focusJudgementOfficers spend time on discretion, not data checking.
- Reason traceability100%Every outcome names the criterion it was decided on.
Illustrative improvement index
Manual baseline = 100. Illustrative targets, not a commitment — confirm against the customer baseline.
- Processing time: manual baseline 100, AI-assisted target 55
- Rework from errors: manual baseline 100, AI-assisted target 35
- Backlog age: manual baseline 100, AI-assisted target 50
Related & recommended
Derived automatically from our solution knowledge graph.
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Related quick wins
Ready-made Azure AI to start fast.
Technologies
What powers this solution.
Azure AI
Managed AI services for vision, speech, language and document.
Azure AI Foundry
Platform to design, evaluate and operate AI apps and agents.
Azure OpenAI
Enterprise access to GPT models with governance.
Microsoft Copilot Studio
Low-code platform to build custom copilots and agents.
Related managed services
Keep it running and optimised.
AI Managed Services
AI Managed Services from our UAE-based 24/7 Cloud Operations Center.
Cloud Managed Services
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DevOps Managed Services
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FinOps / Cloud Cost Management (OpsNow)
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