Employment Latency: A Formal Framework for Autonomous Employment Infrastructure, Discovery Latency Resolution, and Point-of-Offer Compliance Integration

A computer-implemented autonomous employment agent system and method comprising: a continuous background opportunity monitoring module operating persistently without user interaction, monitoring a plurality of employment opportunity sources and normalising opportunity data into standardised opportunity data objects; a hard requirement pre-filter excluding from match scoring pipeline processing any opportunity data object containing hard requirements not satisfied by the user's structured profile, the pre-filter operating independently of and prior to match confidence score computation; an artificial intelligence match scoring engine computing match confidence scores for passing opportunities using vector similarity computation across weighted profile dimensions; an autonomous application submission module generating role-specific application documents and submitting applications without user intervention for opportunities where the match confidence score meets or exceeds a configurable confidence threshold having a default value of 0.80; an application quality scoring module evaluating generated applications against a quality rubric before submission in all operating modes; a preference learning system refining dimension weightings from accumulated user approval and rejection signals; a graduated autonomy mechanism enabling configurable user review and override capability; and a point-of-offer compliance profile integration mechanism comprising an offer detection classifier monitoring employer response communications for employment offer events, and upon offer detection querying a portable compliance profile system through a defined application programming interface to retrieve a current compliance state object, executing a validity and coverage assessment, and where conditions are satisfied executing a compliance profile sharing event enabling the employer to access the verified compliance state object through a time-limited reference code without requiring applicant user intervention. The invention resolves Discovery Latency, Application Latency, and Verification Latency as defined herein, constituting a complete autonomous employment agent operating from opportunity discovery through to compliance verification at the point of offer

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-19
DOI
https://doi.org/10.5281/zenodo.20289956
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Employment Latency: A Formal Framework for Autonomous Employment Infrastructure, Discovery Latency Resolution, and Point-of-Offer Compliance Integration

Oyelokiki George Egbedayo
Zenodo (CERN European Organization for Nuclear Research)
Digital Economy and Work Transformation
article

Employment Latency: A Formal Framework for Autonomous Employment Infrastructure, Discovery Latency Resolution, and Point-of-Offer Compliance Integration

Oyelokiki George Egbedayo
article en

Abstract

A computer-implemented autonomous employment agent system and method comprising: a continuous background opportunity monitoring module operating persistently without user interaction, monitoring a plurality of employment opportunity sources and normalising opportunity data into standardised opportunity data objects; a hard requirement pre-filter excluding from match scoring pipeline processing any opportunity data object containing hard requirements not satisfied by the user's structured profile, the pre-filter operating independently of and prior to match confidence score computation; an artificial intelligence match scoring engine computing match confidence scores for passing opportunities using vector similarity computation across weighted profile dimensions; an autonomous application submission module generating role-specific application documents and submitting applications without user intervention for opportunities where the match confidence score meets or exceeds a configurable confidence threshold having a default value of 0.80; an application quality scoring module evaluating generated applications against a quality rubric before submission in all operating modes; a preference learning system refining dimension weightings from accumulated user approval and rejection signals; a graduated autonomy mechanism enabling configurable user review and override capability; and a point-of-offer compliance profile integration mechanism comprising an offer detection classifier monitoring employer response communications for employment offer events, and upon offer detection querying a portable compliance profile system through a defined application programming interface to retrieve a current compliance state object, executing a validity and coverage assessment, and where conditions are satisfied executing a compliance profile sharing event enabling the employer to access the verified compliance state object through a time-limited reference code without requiring applicant user intervention. The invention resolves Discovery Latency, Application Latency, and Verification Latency as defined herein, constituting a complete autonomous employment agent operating from opportunity discovery through to compliance verification at the point of offer

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 2%
Digital Economy and Work Transformation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.