Case 02 / AI Use Case Studio
Fictional design conceptMake an AI use case reviewable before it becomes a build.
A proposed platform follows one AI use case from intake to future-state design: decompose the request, map dependencies, run parallel review with risk and policy owners, then reopen decisions when the use case changes. Human owners decide whether it advances.
Proposed platform / fixed simulation
Problem
An early prototype can conceal unresolved questions about the workflow, data, controls, and accountable owners.
My contribution
I framed the proposed product and designed its intake, dependency mapping, specialist handoffs, and change reassessment.
Critical decision
Keep agent proposals separate from human approval.
Demonstrated evidence
Two invented requests, prewritten specialist responses, a proposed future state, and a fictional change-review loop.
Connected decisions.
- 01Request
- 02Decompose
- 03Specialist challenges
- 04Human review
- 05Future state
- 06Change loop
Specialists receive questions; a model does not issue an approval.
Concept diagram; simulated prewritten responses; no running agents.
Sample use case / staff knowledge assistant
One request, five review handoffs.
Choose a stage to inspect the proposed finding, the question it leaves open, and who must act next.
A useful idea, with two facts still to confirm.
The intake assistant turns the short brief into proposed facts instead of asking for a long blank questionnaire.
- Illustrative finding
- Proposed purpose: reduce time spent locating current procedures.
- Open question
- Who owns each procedure and confirms when it becomes effective?
- Human next step
- Ask the content owner to confirm source ownership and update cadence.
Fictional use case and prewritten analysis. This is a design walkthrough, not an active agent system or an approval decision.
Explore both fictional use cases- Domain
- AI operating model / governance
- My role
- Framed the use-case-to-delivery problem and mapped the concept, specialist handoffs, and human decision boundaries.
- Maturity
- Concept
- Evidence
- Illustrative
The fictional replay makes dependencies, open questions, review handoffs, and a future-state proposal inspectable. It does not show a deployed platform or validated business impact.
Disclosure High-level product concept only. Cases and responses are invented; no employer or client code, policies, screenshots, or data are included.
THE PROBLEM BEHIND THE CONCEPT
A good prototype does not settle the operating questions.
My consulting work often involves entering an unfamiliar regulated workflow, learning how decisions are made, and translating between business, risk, data, and technical teams. That experience informed this design question: how can an AI idea become a decision-ready solution without losing the unresolved facts and owners along the way? This is a generalized product concept, not a case study of any one engagement.
- AI idea
- Early prototype
- Dependencies discovered late
- Evidence-backed intake
- Parallel specialist questions
- Human-owned future state
- Reassessment when conditions change
DESIGN JUDGMENT
Three decisions shape the platform.
These are proposed product choices, not claims that an institution has adopted the platform.
- 01 / RECORD
Keep a record for each use case.
A questionnaire alone can capture a request but lose evidence, dependencies, and unresolved questions at each handoff. Shared review criteria would guide multiple use cases; each keeps its own history.
- 02 / AUTHORITY
Separate proposals from approvals.
AI-assisted analysis may accelerate synthesis, but a confident response cannot approve policy, accept risk, or authorize a pilot. Those decisions stay with named people.
- 03 / LIFECYCLE
Design for change, not just intake.
A one-time assessment becomes stale when the model, data, or workflow changes. The future state would reopen affected questions and preserve the earlier decision.
Explore the proposed workflow
Turn an AI request into a reviewable design.
Choose a sample request and follow its dependencies, specialist questions, and future-state proposal. A later change shows why the design would need to return to review.
Staff knowledge assistant
Employees need faster answers from an invented internal procedure library.
Select Run simulated analysis to inspect the sample responses.
Future-state blueprint.
A compact view of the proposed outcome. Human reviewers would still need to resolve the open questions and authorize any pilot.
- Proposed flow
- A staff question leads to access-checked retrieval, a cited draft, and employee verification and feedback.
- Decision gate
- Confirm procedure ownership, source freshness, and isolation of restricted material.
- Pilot test
- Challenge the flow with stale, conflicting, restricted, and missing-source examples.
- Proposed flow
- An event provides minimum fields; a controlled template shapes a draft; a person reviews it before a separate release.
- Decision gate
- Confirm permitted fields, notice obligations, reviewer authority, and release controls.
- Pilot test
- Use fictional mismatched-recipient and duplicate-event cases before considering a live pilot.
The design is not the end.
A fictional procedure receives a conflicting revision after the design is proposed.
A fictional template revision adds a recipient field while duplicate events appear in a test feed.
This is a fixed example, not a detected event or an active monitoring feed.A useful idea, with two facts still to confirm.
The intake assistant turns the short brief into proposed facts instead of asking for a long blank questionnaire.
- Proposed purpose: reduce time spent locating current procedures.
- Proposed user: authenticated internal staff.
- Proposed output: a source-linked draft, not an authoritative instruction.
Who owns each procedure and confirms when it becomes effective?
Ask the content owner to confirm source ownership and update cadence.
Inspect request shape and provenance
- Request shape
- POST /demo/intake
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Invented concept note
- Authority
- Advisory proposal; human owners decide policy and approval
The assistant is only one part of the system.
The solution mapper separates the user experience from the services and people it depends on.
- Current, versioned procedure library.
- User access check before retrieval.
- Citation and unsupported-answer handling.
- Correction and feedback path for staff.
Can restricted procedures be filtered before any content reaches a model?
Prototype retrieval with public-to-staff and restricted test documents.
Inspect request shape and provenance
- Request shape
- POST /demo/decompose
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Invented concept note + design assumptions
- Authority
- Advisory proposal; human owners decide policy and approval
Open the right reviews in parallel.
Routing proposes review work; it does not claim that the use is compliant or approved.
- Business owner: confirm the intended task and success measure.
- Content owner: confirm source freshness and permitted use.
- Security reviewer: test access isolation.
- Operations owner: define correction and escalation.
Which local policy and approval path apply in a real organization?
Assign reviewers and resolve the unanswered policy question before a pilot.
Inspect request shape and provenance
- Request shape
- POST /demo/route
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Illustrative routing fixture
- Authority
- Advisory proposal; human owners decide policy and approval
A human-reviewed pilot is the first future state.
The designer proposes an operating flow and a test gate, while keeping release authority with people.
- An employee asks; the system retrieves only accessible sources and prepares a cited draft.
- The employee verifies the source, corrects or rejects the draft, and the feedback is logged.
- Pilot tests stale, conflicting, restricted, and missing-source cases.
- Monitoring watches corrections, source changes, and access failures.
What error rate and source-freshness threshold would a real owner accept?
Agree on pilot measures and owner sign-off; do not deploy from this demo.
Inspect request shape and provenance
- Request shape
- POST /demo/design
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Illustrative design fixture
- Authority
- Advisory proposal; human owners decide policy and approval
A changed source reopens the review.
This fixed follow-up response shows how a material change could send the proposed design back to its owners. It is not a live monitoring service.
- Flag the conflicting procedure version and affected answer examples.
- Ask the content owner which revision is effective.
- Retest citations, restricted access, and unsupported-answer behavior.
- Hold any expansion until the changed source and pilot checks are reviewed.
Which version is authoritative, and does the proposed pilot still meet its exit criteria?
Content and business owners reassess the proposal; no status changes automatically.
Inspect request shape and provenance
- Request shape
- POST /demo/revisit
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Invented post-design change signal
- Authority
- Advisory proposal; human owners decide policy and approval
The action boundary needs to be explicit.
The intake assistant distinguishes drafting a notice from sending one to a customer.
- Proposed purpose: make first drafts more consistent.
- Proposed input: a minimal event record and controlled template.
- Proposed output: a draft held for a service reviewer.
Who is authorized to release a notice, and which fields may be used?
Confirm the reviewer and the minimum permitted event fields.
Inspect request shape and provenance
- Request shape
- POST /demo/intake
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Invented concept note
- Authority
- Advisory proposal; human owners decide policy and approval
Data and release controls become dependencies.
The solution mapper makes the supporting services visible before anyone treats a draft as production-ready.
- Controlled template with an owner and version.
- Minimum-field event adapter with a data boundary.
- Reviewer workspace with edit, reject, and release actions.
- Delivery logging and error recovery after human release.
How would a reviewer detect a wrong recipient or conflicting event?
Test mismatch and duplicate-event cases using fictional data.
Inspect request shape and provenance
- Request shape
- POST /demo/decompose
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Invented concept note + design assumptions
- Authority
- Advisory proposal; human owners decide policy and approval
Sensitive use; several reviews remain open.
The router opens concurrent questions without inventing a policy verdict.
- Business owner: approve the intended communication outcome.
- Privacy reviewer: check data minimization and retention.
- Security reviewer: assess recipient and release controls.
- Operations owner: define failed-delivery and correction handling.
What notice obligations and sign-offs would the real policy owner require?
Collect those human determinations before a controlled pilot.
Inspect request shape and provenance
- Request shape
- POST /demo/route
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Illustrative routing fixture
- Authority
- Advisory proposal; human owners decide policy and approval
Draft, review, release—never auto-send here.
The proposed future state treats dispatch as a separate, human-controlled action.
- An event arrives; minimum fields and a controlled template are selected.
- System drafts with source and template version visible.
- Reviewer checks recipient, facts, and wording before release.
- Operations records delivery, corrections, and material changes.
What evidence would justify a limited pilot with actual recipients?
Define pilot exit criteria and obtain explicit human authorization.
Inspect request shape and provenance
- Request shape
- POST /demo/design
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Illustrative design fixture
- Authority
- Advisory proposal; human owners decide policy and approval
The release boundary needs another look.
This fixed follow-up response revisits the proposed design after invented template and event changes. No customer notice is generated or sent.
- Flag the new recipient field for privacy and template-owner review.
- Recheck duplicate-event handling before any release path is enabled.
- Update fictional mismatch and duplication tests.
- Keep the separate human release gate in place.
Does the revised template still use only permitted fields, and who signs off on the change?
Template, privacy, and operations owners decide whether the proposed pilot can continue.
Inspect request shape and provenance
- Request shape
- POST /demo/revisit
- Response source
- Prewritten example for this portfolio walkthrough
- Illustrative source
- Invented post-design change signal
- Authority
- Advisory proposal; human owners decide policy and approval
See the proposed path.
The final view names a future-state flow, open questions, the people who need to review it, and what a pilot would have to prove.
Opening the sample analysis.
The staged sequence illustrates the handoff between specialist reviews. The response content is prewritten for this walkthrough.
PROPOSED PRODUCT SCOPE
From intake through ongoing review.
The browser replay follows an invented request to a proposed plan, then illustrates how one fictional change would reopen review. In a full workspace, the brief, dependencies, human decisions, and later changes would remain connected. Actual approval, piloting, and monitoring are product vision—not running services here.
- 01 / SIMULATEDCapture the idea.
Start with a short brief and existing material; propose facts with sources and open questions.
- 02 / SIMULATEDMap the dependencies.
Separate the user experience from data, integrations, access, operations, and human handoffs.
- 03 / SIMULATEDChallenge in parallel.
Route questions to risk, policy, data, and business owners without inventing an approval verdict.
- 04 / SIMULATEDDesign a future state.
Propose the flow, safeguards, pilot measures, and conditions that people must resolve.
- 05 / SIMULATEDRevisit a change.
An invented signal reopens source, risk, and pilot questions without changing any status automatically.
- 06 / ENVISIONEDDecide and pilot.
Authorized owners would record conditions, evidence, and a bounded launch decision.
- 07 / ENVISIONEDMonitor or retire.
Real pilot outcomes and material changes would trigger governed reassessment or retirement.
ARCHITECTURE
Shared criteria, distinct use-case records.
In a full implementation, reusable review criteria would guide many use cases. Each durable record would connect its own sources, proposed design, human reviews, decisions, and later changes. Agent outputs would remain source-linked proposals, never silent approvals. This portfolio demo shows only the experience contract.
DEMONSTRATION SCOPE
Fixed responses and explicit limits.
The interaction demonstrates an idea-to-plan handoff and a fictional change review for two contrasting cases. It does not test a model, detect real events, connect to enterprise systems, assess policy, persist decisions, or establish business impact. Those would require a separately authorized build and evaluation.
This is an independently written portfolio simulation using invented cases and fixed responses. It contains no employer or client code, documents, data, screenshots, or policy text. Developed with AI assistance; the underlying private project remains separate and unpublished.
Decision notebook
The tradeoff I made.
Design the authority boundary and the change loop as carefully as the initial intake.
- Alternative considered
- Use a one-time questionnaire or treat an agent response as the approval.
- Decision and tradeoff
- A shared, revisitable record creates more explicit handoffs; accountable people still have to resolve the open questions.
Evidence limits
- No autonomous agent, model call, or enterprise integration is running.
- The walkthrough does not apply institutional policy or authorize a pilot.
- Approvals, persistence, monitoring, and measured impact remain proposed product scope.
Show missing evidence before a reviewer decides.