The process that makes AI-generated job documentation legally defensible — because the people who do the work wrote it first.
AlEx™ began as a process for surfacing invisible expectations between leaders and teams. It is now the live AI implementation tool at the heart of the Workforce Clarity Initiative at John A. Logan College — and the primary proof-of-concept for Not Without the People.
AlEx™ makes the invisible visible. It does so systematically, with documentation, with employee voice at the centre, and now with AI as the translator — not the author.
Most AI-generated job documentation starts with AI. AlEx™ inverts the sequence. The people who do the work articulate it first, in their own words. AI translates and structures that articulation. People then review every output before it stands.
Job holders submit task statements via structured Google Forms in their own language
AlEx™ (built in Claude AI) ingests statements and generates structured job description sections
HR Director and employee representatives review every output before it is accepted
Discrepancies are surfaced and resolved through facilitated dialogue, not algorithm
Gold Standard Job Description agreed, signed, and stored. Living document, not archive
AlEx™ generates nine of eleven Gold Standard Job Description sections from employee-submitted task statements. No section is finalised without sign-off from HR and employee representation.
Because every section originates in employee-submitted language and is reviewed by HR before acceptance, the resulting documentation is defensible in grievance, arbitration, and compliance contexts.
A Gold Standard Job Description is not a document filed and forgotten. It is the agreed foundation for coaching conversations, performance reviews, and annual updates.
The Workforce Clarity Initiative (WCI) at John A. Logan College is AlEx™’s most complete implementation to date — the fourth attempt at workforce alignment at that institution, and the first that is working.
Over 1,300 individual task statements collected from 204 LOSA members across all departments.
Nine of eleven Gold Standard Job Description sections generated from those statements and reviewed by HR Director Stephanie Harner and LOSA President Tracie Zoller before acceptance.
The process did not simply produce documentation. It surfaced expectations that had never been made explicit in the institution’s history. That surfacing is the intervention.
Available for community colleges, workforce organisations, and any institution facing AI-era workforce alignment challenges.