EU AI Act obligations are live

The system of record for AI audit evidence.

Built for audit, not internal documentation. AuditEvidenceAI structures the evidence your auditors require — AI system by system, decision by decision, control by control.

EU AI Act Art. 11, 12 & 14NIST AI RMFISO 42001NYC Local Law 144
Get started free →
3 packs free·No credit card·Cancel anytime
auditevidenceai.com/evidence-packs/cv-shortlisting
CV Shortlisting Decision
General AI Governance v1.0
Progress1/3
✓
Decision Overview
1/1 required
2
Human Oversight
0/2 required
3
Governance & Ownership
0/2 required
Supporting Evidence
+ Add supporting evidence
Human Oversight
Section 2 of 3 · Aligned to EU AI Act Art. 14
In Progress
Who is responsible for reviewing AI outputs before a decision is actioned? *
Name the role or team, not an individual
The Talent Acquisition Manager reviews all AI shortlists before...
Can a human reviewer override or reject the AI recommendation? *
Describe the override process and where it is documented
Yes — the TA Manager can reject any shortlist and must document the reason in the ATS before the decision is logged...
← Previous section
Save & Next section →

CV Shortlisting Decision · General AI Governance v1.0 · Section 2 of 3

20%of EU enterprises now using AIEurostat, 2025
44%of UK large businesses using AIONS, 2026
27–92 hrsto build one evidence pack manuallyIndustry estimate

The AuditEvidenceAI data model

One connected system. Every layer of your AI governance.

Not a document template — a structured record that maps how your AI systems make decisions, what controls govern them, and what evidence demonstrates compliance.

AI System
e.g. CV Screening Tool
Decision
e.g. Shortlisting
Framework
e.g. EU AI Act
Control
e.g. Human Oversight
Evidence
e.g. Review log
Audit Pack
PDF + audit trail

Current state

How teams manage AI audit evidence today

Without a structured system, evidence assembly is a manual, fragmented process that creates risk at every review cycle.

Step
Without AuditEvidenceAI
With AuditEvidenceAI
Scope & alignment
2–6 hrs — email chains, no single source of truth
Decision registered in minutes with linked AI system
Documentation hunt
6–20 hrs — SharePoint, inboxes, Confluence
Schema-guided sections prompt exactly what's needed
Technical evidence
8–30 hrs — chasing data science & IT teams
Supporting evidence attached directly to controls
Oversight narrative
6–20 hrs — blank page, multiple revision cycles
Plain-language guided questions, auto-validated
Review & sign-off
3–10 hrs — back-and-forth with legal & audit
Readiness check flags gaps before review starts
Final output
2–6 hrs — inconsistent Word docs in random folders
One-click audit-ready PDF with full audit trail
Total effort
27–92 hours
6–12 hours

The workflow

From register to audit-ready in 4 steps

A repeatable process your team can run without compliance expertise.

01
Register AI System
Name the system, set risk tier, assign owner. Creates the top-level record every evidence pack is anchored to.
02
Add Decisions
Document every business decision influenced by AI. Link it to the system. Set the jurisdiction and risk level.
03
Build Evidence Pack
Complete guided sections aligned to your chosen framework. Attach evidence. Validate against readiness checks.
04
Generate Audit Pack
Export a structured, versioned PDF. Ready for internal audit, external regulators, or board review.

Platform capabilities

Built for audit. Not internal documentation.

Every capability maps directly to what auditors check for under EU AI Act, NIST AI RMF, and ISO 42001.

Schema-Driven Evidence Packs
Pre-built schemas for EU AI Act, NIST AI RMF, ISO 42001, HR, Payroll, and Finance decisions. Every field maps to an auditor expectation.
Art. 11 — Technical Documentation
Human Oversight Controls
Dedicated fields for oversight roles, override processes, and monitoring cadences. Validates completeness before export.
Art. 14 — Human Oversight
Audit-Ready PDF Export
Structured, versioned output with full section narrative, evidence index, and audit trail. Formatted for regulators and board review.
Art. 12 — Record Keeping
AI System Registry
A central register of every AI system in your organisation — risk tier, vendor, owner, review cadence, and linked decisions.
Art. 26 — Deployer Obligations
Readiness Validation
Automated checks flag missing oversight records, empty supporting evidence, and incomplete controls before your auditors do.
NIST AI RMF — Govern
Immutable Audit Log
Every action — pack created, section updated, PDF generated — is timestamped and attributed. Provides chain of custody for every evidence pack.
Art. 12 — Traceability

Regulatory alignment

What auditors look for. What we provide.

Every evidence pack is built around what your regulators and internal auditors will check.

Requirement
What auditors check for
What AuditEvidenceAI provides
EU AI Act Art. 11
Technical documentation of the AI system, its purpose, and performance characteristics
Decision Overview section with system description, outputs, and limitations
EU AI Act Art. 12
Logs and record-keeping enabling traceability across the system lifecycle
Evidence index with timestamped items + immutable audit log on every pack
EU AI Act Art. 14
Human oversight mechanisms — ability to understand, override, and stop AI outputs
Dedicated Human Oversight section with role, process, and override documentation
EU AI Act Art. 26
Deployer obligations — oversight assignment, log retention (6 months), worker notices
Governance & Ownership section with assignee fields and retention documentation
NYC Local Law 144
Bias audit within 12 months, published summary, candidate notices
Talent schema with bias audit date, summary link, and notices evidence fields
NIST AI RMF
Govern–Map–Measure–Manage lifecycle discipline across AI risk
Framework maps to all four functions — registry, decisions, controls, monitoring

Who uses it

Built for the teams closest to AI decisions

Not just legal or IT — every function that operates AI in their day-to-day work.

Compliance & RiskEU AI Act Art. 11–26

Maintain a complete registry of AI systems. Document governance obligations. Produce evidence packs before your auditors ask for them.

HR & Talent TeamsNYC Local Law 144 · EU AI Act

Evidence AI-assisted hiring decisions, bias audit dates, and candidate notices. Built for the specific obligations of automated employment decision tools.

Payroll & FinanceEU AI Act Art. 26 · ISO 42001

Document automated payroll decisions, exception handling controls, segregation of duties, and human oversight. Structured for finance audit requirements.

IT & AI TeamsNIST AI RMF · ISO 42001

Own the system registry. Track model versions, risk tiers, vendor relationships, and monitoring cadences. The technical layer behind every evidence pack.

What compliance leads say

Teams using AuditEvidenceAI

From 3 weeks to 4 hours

"We went from a spreadsheet nightmare to audit-ready documentation in a single afternoon. Our compliance team finally has a repeatable process that holds up under scrutiny."

SM
Sarah Mitchell
Head of Compliance, FinTech Group
EU AI Act
NYC LL144 ready in 1 session

"The EU AI Act requirements felt overwhelming until we used this. The guided framework showed our HR team exactly what evidence they needed to capture for every hiring decision."

JO
James Okafor
HR Director, TalentCorp
NYC Local Law 144
Audit prep cut by 6 weeks

"Our auditors were impressed. Having structured evidence packs with full audit trails and version history saved us weeks of preparation for our annual review cycle."

RC
Rachel Chen
Payroll Manager, Global Payroll Services
ISO 42001

Ready to replace the spreadsheet?

Start with 3 free evidence packs. No credit card required. Built for compliance teams who need to move fast.

Aligned to EU AI Act · NIST AI RMF · ISO 42001 · NYC Local Law 144

Get started free →or request a 30-minute demo