Golden Journey: HR Screening Assistant

One customer-grade storyline that proves AICOMPASS is an operating model, not a set of unrelated dashboards.

Demo Object: HR-AI-001
Why this matters

A strict buyer must be able to follow one AI initiative from idea to audit-ready output.

This journey creates continuity across the prototype and answers the core objection: “show me the actual operating chain behind the dashboards.”

End-to-end journey

Each stage links to the screen that should carry the same use case.

01
Opportunity capturedHR proposes an AI screening assistant to reduce recruiter review time by 32% and improve candidate triage consistency.
Pipeline
02
Value-feasibility-risk prioritizationHigh business value, medium delivery feasibility, high people-impact risk. Decision: prioritize only with high-risk governance route.
Prioritize
03
Governance route explainedHigh-Risk Review triggered by employment impact, personal data, automated recommendation, fairness exposure, and appeal requirement.
Route
04
Use case and AI assets registeredUse case links to candidate-profile dataset, ranking model, prompt template, vendor API, and HR workflow integration.
Register
05
Obligations and control gaps mappedDPIA, transparency notice, fairness validation, human oversight, appeal process, logging, and incident playbook required.
Obligate
06
Backlog execution createdControl gaps become owned delivery tasks with due dates, evidence requirements, acceptance criteria, and reviewer gates.
Execute
07
Evidence acceptedDPIA v1.3, bias test v2.0, human oversight UAT, transparency notice, and incident playbook are reviewed and accepted.
Evidence
08
Conditional approvalDPO, Legal, HR Risk, Model Risk, and Security approve pilot with residual-risk conditions and monitoring requirements.
Approve
09
Monitoring activePost-launch controls track drift, complaints, human overrides, candidate appeals, access events, and cost per screening.
Monitor
10
Audit pack generatedAudit pack contains route rationale, obligation map, evidence trail, approvals, incidents, residual risk, and monitoring status.
Audit

Golden journey data contract

These values should appear consistently across the core product screens during the customer demo.

FieldValueCustomer purpose
Use case IDHR-AI-001Single traceable object across screens.
Risk routeHigh-Risk ReviewShows governance seriousness.
Primary controlsDPIA, fairness, oversight, transparency, appeal, incident playbookShows obligation-to-control depth.
Evidence status5 accepted, 1 conditional, 1 expiringShows audit defensibility.
Approval statusConditional Pilot ApprovalShows decision outcome.