AI Workbook
Documented proof

Recruitment case study. A documented recruitment intelligence baseline built on AI Workbook.

KIRA shows how a recruitment team can move toward more consistent hiring operations and more defensible decisions when the platform layer supplies structure, workflows, data discipline, and governed AI behavior.

It also makes the platform/domain split concrete: AI Workbook provides the execution environment, while the hiring method stays inside the recruitment system itself.

What was built

The source documentation describes KIRA as a structured recruitment intelligence system baseline built on AI Workbook. The documented baseline supports role design, candidate intake, job-description auditing, prescreen support, structured hiring evaluation, and recruitment document generation.

Recruitment intelligence system on a governed platform
The platform provides the governed execution layer. The recruitment system provides the hiring method and domain logic.

Evidence level: Documented system baseline. This page draws on repository material describing a working recruitment environment built on AI Workbook.

What the system included

What the system included
Structured entry points
Forms for onboarding, role intake, candidate intake, and prescreen interaction.
Shared operational records
A structured data layer for organisations, roles, positions, candidates, audits, and review activity.
Bounded AI assistance
Assistants for parsing job descriptions, extracting signals, generating questions, and producing recruitment documents.
Governed workflows
Multi-step flows for role creation, audits, candidate intake, prescreen support, and document generation.
Durable recruitment artefacts
Generated documents and stored review outputs that can be checked, reused, and carried forward.

Platform supplies, domain defines: AI Workbook supplies guided work, records, workflows, assistants, and durable outputs. KIRA supplies the recruitment method, review logic, and hiring decisions.

Why the platform mattered

Why the platform mattered
Platform and domain stayed separate
AI Workbook handled the execution environment while KIRA contained the recruitment methodology.
The system was designed for operational use
The documented baseline shows structured forms, workflows, records, and outputs working together as a live system.
Control surfaces were visible
Structured records, review activity, and stored outputs made the operating path more inspectable than prompt-led work.
Change could happen without major redevelopment
Recruitment logic, scoring models, and workflows were designed to evolve through configuration and governed development.
Operational work became more durable
Recruiters could work with structured data, governed workflows, and stored outputs instead of scattered prompts and one-off artefacts.

Closing thought

This is the kind of proof that matters most: a domain system with a documented baseline, clear structure, and room to evolve without losing control.
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