Student support case coordination

The business situation

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Illustrative architecture: A university support office receives a student's request involving course registration, an approaching deadline, and difficulty accessing campus services. Advisers need a current view of relevant records and available support. Agents prepare options and referrals without determining admissions, discipline, disability eligibility, or academic outcomes.

Problem

Support requests span systems with different permissions and sensitive personal information. Inferring a disability or risk category from conversational text can create harmful labels. Outdated course rules can also lead to an incorrect promise about progression or fees.

Why a multi-agent system?

Academic-record, policy, resource, and case-coordination specialists retrieve only the information needed for the student's stated request. The workflow distinguishes official academic decisions from assistance and leaves sensitive disclosures under explicit access controls.

Intended outcome

The intended result is a reviewable operational decision with source evidence and explicit ownership. Evaluate whether students reach appropriate staff with fewer repeated explanations while protecting their information. Faster answers are insufficient if policy applicability, referral acceptance, or the student's stated preferences are lost.

Specialist agent team

Academic context agent

Retrieve permitted enrollment facts and relevant registration events.

Tools

• Student information read API
• course catalog query

Authority boundary

Cannot change grades, enrollment, or academic standing.

Policy retrieval agent

Find current deadlines and requirements applicable to the student's program.

Tools

• Academic policy search
• calendar registry

Authority boundary

Cannot grant exceptions or interpret missing records as ineligibility.

Resource navigator

Locate available advising and support services using explicit student preferences.

Tools

• Service directory
• appointment availability API

Authority boundary

Cannot infer sensitive conditions or assign a diagnostic label.

Adviser packet agent

Draft a source-backed case summary and proposed referrals.

Tools

• Support case draft API
• approved communication templates

Authority boundary

Staff approve referrals, communications, and any academic exception request.

Enterprise systems

Student information system

Owns enrollment, program identity, grades, and authoritative academic decisions.

Policy and service directories

Provide effective calendars, program rules, service availability, and approved contact routes.

Advising platform

Retains consent context, assigned adviser, protected notes, and approved follow-up tasks.

Architecture diagrams

flowchart LR
    N0["Student support case coordination"]
    N1["Academic context agent"]
    N2["Policy retrieval agent"]
    N3["Resource navigator"]
    N4["Adviser packet agent"]
    N5["Evidence ledger"]
    N6["Human decision"]
    N7["Authorized adapter"]
N0 --> N1
    N0 --> N2
    N2 --> N3
    N1 --> N4
    N3 --> N4
    N4 --> N5
    N5 --> N6
    N6 --> N7

sequenceDiagram
    participant O as "Case orchestrator"
    participant S as "Student information system"
    participant H as "Accountable reviewer"
O->>S: Read program and current term
    S-->>O: Current enrollment context
    O->>H: Present policy and referral options
    H-->>O: Approve support handoff
    O->>S: Record receiving-service acceptance
    S-->>O: Acceptance pending
    O->>H: Retain case ownership until accepted

Runtime flow

1. 1

   Authenticate request

   Verify student identity and capture the specific assistance requested without requiring unrelated sensitive disclosures.

2. 2

   Bind permitted context

   Resolve adviser role, program scope, and purpose before retrieving academic or protected support records.

3. 3

   Retrieve current rules

   Match program and term to effective deadlines and policies, exposing ambiguity instead of promising an exception.

4. 4

   Find suitable resources

   Query available services against explicit preferences, access requirements, and scheduling constraints.

5. 5

   Prepare adviser review

   Show official facts, cited rules, unanswered questions, and optional referrals without inferring student traits or outcomes.

6. 6

   Record agreed follow-up

   Save approved appointments or tasks with student consent where required and track whether a responsible staff member accepts the handoff.

Failure recovery

Security & decision boundaries

• Apply purpose-specific access to academic, disability, financial, and counseling records.
• Do not infer sensitive traits or assign risk labels from ordinary support conversations.
• Keep admissions, grades, discipline, and eligibility decisions with authorized staff.
• Display term and program applicability for every policy citation.
• Require an accepted staff handoff for urgent or unresolved support requests.

Operational metrics

Measurement definitions, not promised improvements.

Policy applicability

Audited citations matching the student's program and term divided by audited citations.

Case preparation time

Elapsed time from authenticated request to adviser-reviewable options and outstanding questions.

Handoff acceptance

Referred cases accepted by the responsible service within its defined window divided by referred cases.

Unnecessary data exposure

Audited case packets containing out-of-purpose information divided by audited packets.

Architecture tradeoffs

Rollout plan

Synthetic student scenarios

Staff verify program rules, sensitive-record boundaries, and unsupported eligibility conclusions.

Read-only adviser pilot

One office reviews draft cases and confirms that every referral has an accountable recipient.

Approved scheduling support

Appointments and follow-up tasks launch after stale-calendar, consent-change, and unaccepted-handoff tests pass.

Connected concepts

• 21 — Authorization-Aware RAG
• 23 — Attribute-Based Access Control (ABAC)
• 25 — Data PII Masking
• 28 — Deterministic Data Grounding
• 32 — Model Bias Auditing
• 44 — Human-in-the-Loop (HITL)
• 68 — Time-Weighted Vector Retrieval

Primary references

• NIST AI Risk Management Framework
• NIST SP 800-207: Zero Trust Architecture
• Temporal: Workflow execution