Forensic Auditing Services (F.A.S.)
A BRAND OF ALS CONSULTING SERVICES
PRODUCT OVERVIEW

The Decision Is the
Moment of Liability

F.A.S. is the only Human-in-the-Loop compliance platform that intercepts AI-driven hiring rejections before they are finalized — not after the damage is done.

See It In Action → Apply for Beta Access
THE PROBLEM

AI Rejects in Seconds.
Regulators Wait for No One.

Organizations deploying AI hiring tools face overlapping regulatory exposure across NYC LL144, EEOC Title VII, OFCCP federal contractor requirements, Colorado SB205, Illinois AIVIA, California AB 2930, and the EU AI Act — with no mechanism to intercept, audit, or document automated rejection decisions before they create liability.

The pipeline wasn't dry. It was blocked.

2023
NYC LL144 active — most employers still non-compliant
$20K
Per violation fine under Colorado SB205
0
Existing tools that block rejections before they go out
OFCCP
Federal contractors must document adverse impact on every selection decision — most don't
€35M
Maximum EU AI Act fine for non-compliant high-risk AI systems
HOW IT WORKS

Six Forensic Lanes.
One Decision Gate.

F.A.S. integrates with your ATS via webhook. When a rejection is generated, F.A.S. intercepts it — runs a forensic audit across six compliance lanes — and blocks high-risk decisions until a compliance officer provides documented justification.

LANE 01
Age Proxy Detection
Identifies screening criteria functioning as proxies for age discrimination under the ADEA — including experience ceilings, overqualified flags, and culture fit language.
HIGH RISK TRIGGER
LANE 02
Proxy Discrimination Analysis
Detects neutral screening factors — employment gaps, credential requirements — with documented correlation to protected class membership under Title VII and ADA.
HIGH RISK TRIGGER
LANE 03
Disparate Impact Assessment
Applies the EEOC 4/5ths rule to flag rejection patterns that disproportionately exclude protected groups beyond the adverse impact threshold.
HIGH RISK TRIGGER
LANE 04
Employment Gap Analysis
Evaluates whether gap-based rejections are individualized and job-related, or systematic — flagging decisions that penalize protected leave without inquiry.
MODERATE RISK
LANE 05
Keyword Mismatch Detection
Identifies cases where ATS rejection reasons are inconsistent with actual job requirements — surfacing algorithmic over-rejection before it becomes a pattern.
MODERATE RISK
LANE 06
Legal Framework Triggers
Flags which regulatory frameworks apply to each decision — NYC LL144, CO SB205, AIVIA, AB 2930, EU AI Act — and what documentation is required for compliance.
HIGH RISK TRIGGER
DIFFERENTIATION

Execution-Bound.
Not Post-Hoc.

Every other compliance tool in this market analyzes what already happened. F.A.S. stops what is about to happen. That distinction is the entire product.

CAPABILITY F.A.S. POST-HOC AUDIT TOOLS
Acts before rejection is finalized ✓ Yes ✗ No
Blocks high-risk decisions in real time ✓ Yes ✗ No
Forensic audit at point of decision ✓ Yes ✗ No
Human-in-the-Loop enforcement ✓ Yes ✗ No
Court-ready audit trail per decision ✓ Yes ~ Partial
Multi-framework compliance coverage ✓ Yes ~ Partial
Individual reviewer accountability logging ✓ Yes ✗ No
MARKET OPPORTUNITY

A $11.8 Billion Market.
No Execution-Bound Player.

The HITL AI market is one of the fastest-growing segments in enterprise software. F.A.S. occupies the compliance-specific, hiring-focused niche — with active regulatory enforcement already underway across multiple jurisdictions.

HITL MARKET 2025
$2.4B
Current global market valuation for Human-in-the-Loop AI platforms and services
PROJECTED 2034
$11.8B
Projected market size — nearly 5x growth over the forecast period
ANNUAL GROWTH RATE
19.3%
Compound annual growth rate — nearly twice the historical average of the S&P 500
Source: Dataintelo, Human-in-the-Loop AI Market Research Report, September 2025

Ready to See It
Before the Rejection?

F.A.S. Phase 1 beta is open to 4 organizations. Applications are reviewed based on compliance risk, ATS usage, and organizational readiness. Selections announced May 12, 2026.

See the Live Demo → Submit Application
Applications close 11:59 PM ET · May 9, 2026 · Only 4 spots available