.docx ✓ Professional Edition Updated Q1 2026

AI Impact Assessment Policy

A 12-step impact assessment methodology aligned to ISO 42005:2025. Maps affected parties, prohibited practices, risk treatment decisions, and human oversight adequacy to EU AI Act and ISO 42001. With 132 verified framework citations.

Sections

Pages

Frameworks

3–4hr

To Deploy

EU AI Act 2024 ISO 42001:2023 NIST AI RMF 1.0

Build vs. Buy

From scratch

Research 3 frameworks3 hrs = $45

Draft 15 pages5 hrs = $75

Internal review cycle3 hrs = $45

Cross-mapping 3 frameworks2 hrs = $30

13 hours$195

This template

Purchase$15.00

Customize for your org3 hrs = $45

CitationsIncluded

CrosswalkIncluded

3 hours$60

$135 saved

10 hours back | 9:1 ROI on $15.00

At $15/hr. The price of this template as the hourly rate

“What if I use AI to write it?”

AI makes drafting faster, but it doesn’t reduce the total work. You still need the source framework documents, a way to verify what the AI produces, and SME-level expertise to catch what it gets wrong. AI hallucinates article numbers, invents control IDs, and generates crosswalk tables that look authoritative but aren’t. Every citation still has to be checked against the actual standard. The work shifts from writing to verification, and verification takes just as long.

~14hwith AI + expert verification

3hwith this template

132citations verified

2source PDFs read

$15.00

One-time purchase · Instant download

✓12-step impact assessment methodology aligned to ISO 42005
✓EU AI Act Art. 5 prohibited practices screening built-in
✓Affected party mapping with vulnerable group identification
✓Risk treatment prioritization with decision framework
✓132 framework citations verified across 3 standards
✓Fully editable Word .docx. customize for your organization

.docx EU AI Act ISO 42001 NIST AI RMF ✦ Q1 2026

Overview

What this template does

1 / 10

Click image or thumbnail to browse · 10 of 15 pages shown

Organizations deploying AI systems face a fundamental rights impact assessment requirement under EU AI Act Art. 27. Without a structured methodology, teams either skip the assessment entirely or produce documentation that won’t survive regulatory scrutiny. The gap between “we assessed the impact” and “here’s the documented methodology we followed” is where enforcement risk lives.

This template provides a 12-step impact assessment methodology aligned to ISO 42005:2025. It covers scope definition, AI system documentation, affected party identification, risk criteria establishment, prohibited practices screening, human-AI interaction assessment, and risk treatment prioritization. All mapped to EU AI Act 2024 and ISO/IEC 42001:2023 with 132 verified framework citations.

The Professional Edition includes the Art. 5 prohibited practices screening, vulnerable group identification framework, societal and environmental impact evaluation, and human oversight adequacy assessment. These are the sections regulators expect when reviewing high-risk AI system deployments under the EU AI Act.

What’s Inside

16 Sections · 15 Pages · Audit-Aligned Structure

Methodology for scoping AI impact assessments, defining boundaries, and establishing assessment criteria. References ISO 42005:2025 impact assessment methodology.

ISO 42005ISO 42001 Clause 6.1

Structured approach to documenting AI system characteristics: inputs, outputs, training data, model architecture, and intended use.

EU AI Act Art. 13ISO 42001 A.6.2.4

Framework for mapping all stakeholders affected by AI system deployment. Employees, customers, communities, and vulnerable groups.

EU AI Act Art. 9ISO 42001 A.6.2.5

Documentation of deployment context, operating conditions, and environmental factors that influence AI system behavior.

ISO 42001 Clause 4.1NIST MAP 1.1

Due diligence requirements for obtaining technical documentation, risk assessments, and compliance evidence from AI system providers.

EU AI Act Art. 13Art. 25

Risk tolerance framework with quantitative and qualitative criteria for evaluating AI system impacts.

ISO 42001 Clause 6.1NIST MAP 5.1

Systematic risk identification methodology covering technical, operational, ethical, and regulatory risks.

EU AI Act Art. 9ISO 42001 A.5.3

Assessment of direct harms: discrimination, privacy violations, safety risks, manipulation, and loss of autonomy.

EU AI Act Art. 5Art. 9NIST MAP 5.1

Broader impact evaluation: workforce displacement, environmental costs of AI training, democratic process effects.

ISO 42001 A.6.2.6OECD Principle 1.5

Screening against EU AI Act Art. 5 prohibited practices: social scoring, subliminal manipulation, exploitation of vulnerabilities.

EU AI Act Art. 5Art. 5(1)(a)-(d)

Evaluation of human oversight adequacy, user interface design, and decision support vs. autonomous decision-making boundaries.

EU AI Act Art. 14ISO 42001 A.8.3

Risk treatment decision framework: accept, mitigate, transfer, or avoid. Priority ranking methodology.

ISO 42001 Clause 6.1Art. 9

Complete bibliography of cited standards, regulatory texts, and supplementary materials. Includes document identifiers and publication dates for audit traceability.

Audit Trail

Key terms for impact assessment including affected party, fundamental rights impact, prohibited practice, risk treatment, and other assessment-specific terminology aligned to EU AI Act Art. 3 definitions.

EU AI Act Art. 3

Pre-built version control table tracking policy revisions with date, author, and change summary. Ready to customize for your organization’s document control process.

Document Control

Sign-off table for Compliance Officer, Legal Team, AI Governance Lead, and Risk Manager. Pre-configured for multi-stakeholder approval workflows.

Audit EvidenceSign-Off

Audience

Who deploys this template

⚖️

Compliance Officer

Conducts mandatory impact assessments for high-risk AI systems under EU AI Act Art. 27. Uses the structured methodology to produce audit-aligned documentation for regulatory submissions.

⚗️

Legal Team

Evaluates legal exposure from AI system deployment. Uses the prohibited practices screening and affected party mapping to identify regulatory risk before deployment approval.

📋

AI Governance Lead

Integrates impact assessment results into governance decision-making. Uses risk treatment prioritization to determine which AI systems proceed to deployment and which require additional controls.

📈

Risk Manager

Applies the quantitative risk criteria framework to score and rank AI system impacts. Uses the assessment output to update organizational risk registers and inform insurance and liability decisions.

Framework Alignment

How this template maps to standards

EU AI Act 2024

30 article-level citations plus 79 ISO 42001 Clause references. Covers Art. 5 prohibited practices, Art. 9 risk management, Art. 13 transparency, Art. 14 human oversight, Art. 27 fundamental rights impact assessment.

Art. 5Art. 9Art. 27

42001

ISO/IEC 42001:2023

95 clause-level citations (16 + 79). Full mapping to Clause 6.1 planning, A.5.3 risk assessment, A.6.2.4–A.6.2.6 AI system documentation.

Clause 6.1A.5.3A.6.2.5

NIST

NIST AI RMF 1.0

7 citations mapping to MAP function for contextualizing AI system risks. Supports risk identification and environmental factor documentation.

MAP 1.1MAP 5.1

Value Proposition

Build from scratch vs. use this template

✓ With This Template

✓12-step impact assessment methodology aligned to ISO 42005. Structured process from scope definition through risk treatment.

✓132 framework citations verified against source documents. Article numbers, not AI-generated approximations.

✓EU AI Act Art. 5 prohibited practices screening built-in. Covers all four categories with exception criteria.

✓Affected party mapping with vulnerable group identification. Employees, customers, communities, and at-risk populations.

✓Risk treatment prioritization with decision framework. Accept, mitigate, transfer, or avoid with ranking methodology.

✓Human-AI interaction assessment with oversight adequacy checks. Decision support vs. autonomous boundaries defined.

✗ From Scratch

✗Design assessment methodology without ISO 42005 reference. Most teams don’t know this standard exists, let alone how to structure around it.

✗Verify every citation against the published standard. AI tools generate plausible but often wrong article numbers for impact assessment requirements.

✗Build prohibited practices checklist from regulatory text. Art. 5 has four categories with nuanced exception criteria that are easy to misinterpret.

✗Identify all affected parties without structured framework. Vulnerable groups are routinely overlooked without a systematic mapping methodology.

✗Create risk ranking system from scratch. Defining quantitative and qualitative criteria that satisfy both EU AI Act and ISO 42001 takes specialized knowledge.

✗Define human oversight adequacy criteria without guidance. Art. 14 requirements are specific about when humans must be able to intervene.

Already have an AI impact assessment process? Use this template to validate your methodology against current EU AI Act and ISO 42001 requirements and add prohibited practices screening.

“$15 for a complete AI impact assessment methodology?”

I’ve been building governance documentation since 2012. That year I helped my healthcare analytics company earn its first HITRUST certification. Since then I’ve created and managed compliance documentation for SOC 2, PCI DSS, HITRUST, and ISO 27001 programs across enterprise organizations. I have a writing degree and I genuinely like this work.

HITRUST CSF SOC 2 PCI DSS ISO 27001 14 Years in GRC Writing Degree

Credentials don’t explain the price though. This does:

Building an AI impact assessment from scratch requires reading ISO 42005:2025, mapping EU AI Act fundamental rights assessment requirements, designing affected party identification frameworks, and creating risk treatment decision criteria. The prohibited practices screening alone requires understanding all four categories under Art. 5 and their exceptions. That’s specialized regulatory knowledge.

I want AI adopted responsibly. I don’t want my friends, my family, or my kids dealing with threats and risks that come from deploying AI without governance. Organizations will take the path that earns them the most money. That’s how business works. So I feel obligated to put quality documentation out at a price where governance isn’t something only Fortune 500 companies can afford. I don’t need to charge thousands of dollars to make a difference. I care about helping where I can.

You’re building something that matters. Documentation that earns trust from your board, your customers, and your team. And it has to be right.

The citations in these templates were checked against the published standards. The actual ISO 42001:2023 PDF, the EU AI Act regulation text, the NIST AI RMF 1.0 document. Control IDs, article numbers, crosswalk mappings. This is practitioner-built documentation from someone who’s sat in the audits, written the remediation plans, and knows what survives a compliance review.

Derrick Jackson // Founder, Tech Jacks Solutions

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Important

This template is a starting point, not a finished product. It’s designed to accelerate your governance program by giving you a professionally structured foundation with verified framework citations. It doesn’t replace legal counsel, compliance review, or organizational judgment. Every organization is different. You’ll need to customize the assessment methodology, affected party mappings, risk criteria, and prohibited practices screening for your specific AI systems, regulatory environment, and organizational context. We recommend routing your completed assessment policy through your legal, compliance, and governance teams before adoption. What you’re buying is a jumpstart that saves you weeks of research and drafting, not a guarantee of compliance. Framework citations reflect regulations as of Q1 2026. Regulatory frameworks evolve. Check for updates to the EU AI Act and ISO 42001 before your annual policy review. Single organization license. All purchases include a 14-day money-back guarantee. If the template does not meet your needs, contact us for a full refund.