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Public SectorPublic SectorConstituent ServicesCasework Automation

Constituent Services Automation

Helped a state agency modernize service navigation and caseworker support with citation-backed AI agents.

Challenge

A large public program was managing high call volume, uneven policy interpretation, and slow case preparation across legacy systems.

Implementation Approach

  • Built a constituent navigation agent grounded in program policy, forms, and public guidance
  • Added a caseworker summary agent that assembled status, prior correspondence, and missing documentation
  • Created human approval checkpoints for eligibility, adverse actions, and sensitive case updates
  • Implemented audit logs and records-retention tagging for every agent-assisted interaction

Before / After Metrics

Routine Inquiry Deflection

Lower avoidable volume
BeforeBaseline call volume
After25-40% modeled reduction

Case Preparation Time

Faster staff review
BeforeManual record review
After30-45% faster packets

Policy Citation Coverage

More consistent guidance
BeforeInconsistent references
AfterMost answers cite source policy

Architecture

Policy-Grounded Constituent Service Flow

Agent Execution Flow

1
Intake Agent
2
Policy Retrieval Agent
3
Case Summary Agent
4
Eligibility Review Queue
5
Records Logging Agent

Technology Stack

Azure AI FoundryAzure AI SearchAzure GovernmentMicrosoft Entra IDMicrosoft Purview

Client Testimonial

The pilot gave staff a clearer view of case history while keeping final determinations with trained program specialists.

Director of Digital ServicesState Agency

Timeline & Team

Duration

11 weeks

Team Size

7 specialists

Discovery

2 weeks

Program policy + service journey mapping

Pilot

5 weeks

Grounded agent workflow + caseworker review

Readiness

4 weeks

Accessibility, audit evidence, and rollout planning

ROI Metrics

Modeled Annual Capacity Value

$900k-$1.8M

Case Prep Efficiency

30-45% range

Pilot Payback Window

6-9 months modeled

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