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AI Ethics & Responsible Use Toolkit

Make defensible AI decisions your customers and auditors can trust. Run proportionate reviews, document approvals, and generate evidence outputs for assurance without building a bureaucracy.

A practical workflow for intake, triage, ethical impact assessment, decision conditions, and a living ethical risk register. Built for real teams who need to show consistent governance under customer, audit, and reputational pressure.

Designed to align with ISO/IEC 42001 intent and integrate cleanly with an ISO/IEC 27001-aligned ISMS approach.

ISO-literate by design - decision discipline, ownership clarity, and audit-friendly evidence outputs.

Instant digital download. Organisational licence. No subscription. One-off purchase - typically less than a single day of consultancy discovery.

Licensed to a single legal entity. Outputs may be shared with auditors, customers, regulators, and advisers for assurance.


By the end of today you will have

  • A repeatable intake and triage workflow so AI use cases stop being approved informally and inconsistently
  • A defensible decision trail - approvals, conditions, owners, and monitoring actions captured in a structured log
  • A living ethical risk register with clear treatments, accountability, and evidence prompts
  • Customer and vendor assurance outputs you can reuse for RFPs, due diligence, and client assurance requests

Designed for

  • CISO and Heads of Risk who need defensible governance without delay
  • GRC and InfoSec managers who need a practical, repeatable approval workflow
  • AI and Data leads who need guardrails teams will actually follow
  • Suppliers under customer assurance pressure to evidence responsible AI controls
  • Internal Audit and DPO stakeholders who need traceability and evidence
AI Ethics and Responsible Use Toolkit box mockup
A proportionate, evidence-oriented workflow for responsible AI decisions and assurance outputs.
AI ethics workflow showing intake triage impact assessment decision and evidence outputs
Intake and triage - impact assessment - decision conditions - risk register - assurance outputs.

Illustrative system visuals shown. Toolkit files are provided as structured working artefacts and templates.

What this replaces

Most organisations start AI ethics with generic principles, inconsistent approvals, and scattered documents that do not stand up under customer due diligence or internal audit sampling.

When the pressure arrives - an incident, a complaint, a customer questionnaire, or an audit request - teams scramble to reconstruct what happened and why decisions were made.

This toolkit replaces that with one lightweight, repeatable workflow that gives you:

  • consistent triage and proportionality
  • clear ownership and approval routes
  • a structured decision trail with conditions and monitoring actions
  • reusable customer and vendor assurance outputs

It is not a certification, audit, or legal assessment. It supports practical, audit-ready governance in day-to-day use, but does not guarantee certification outcomes.

How it works

Run proportionate governance in three levels

Not every AI use case needs a committee. This workflow supports fast reviews for low-risk cases and deeper review where the risk justifies it.

  1. Level 1 review - 15 to 30 minutes
    Low-risk use cases. Complete intake and triage. Capture decision and owner.
  2. Level 2 review - 45 to 90 minutes
    Medium-risk use cases. Complete ethical impact assessment and decision conditions. Update register.
  3. Level 3 review - 90 minutes plus
    Higher-risk use cases. Deeper assessment, stronger controls, explicit sign-off, and monitoring plan.

Typical format:

  • Short working session with the system owner and governance participants
  • Evidence prompts captured as you go, not reconstructed later
  • Decision conditions recorded so approvals are defensible and repeatable
Keep it alive (ongoing)

The ethical risk register and decision log are designed to be living governance artefacts. You do not rebuild each time. You reuse the same workflow and simply capture what changed.

  • Re-run triage when models change, data sources change, or the use case expands
  • Use the internal audit checklist to sample decisions and evidence at a practical cadence
  • Reuse customer assurance outputs for repeated due diligence requests

What you get (8 artefacts)

This is a complete responsible use workflow and evidence pack - not a single document.

  1. Ethics workbook - risk register - decision log - triage (Excel)
    Core workflow tool for intake, triage, decisions, conditions, and ethical risk management.
  2. Start Here guide (PDF)
    Step-by-step guidance for running reviews proportionately and consistently.
  3. Ethical Impact Assessment template (Word)
    Structured assessment template for medium and higher-risk use cases.
  4. AI Ethics governance RACI template (Word)
    Clarifies who reviews, who approves, and who is accountable at each level.
  5. Customer AI Assurance Summary template (Word)
    A reusable pack for customer assurance conversations and RFP responses.
  6. Vendor Responsible AI Questionnaire Lite (Word)
    A practical vendor questionnaire to support responsible AI supply chain assurance.
  7. Public AI Ethics and Responsible Use Statement template (Word)
    Publish a responsible use position without drafting from scratch.
  8. Internal Audit Checklist - AI Ethics and Responsible Use (Word)
    Sampling prompts and red flags to test whether decisions are being governed as intended.

Outputs and evidence you can generate

  • Decision trail per AI use case: approval, conditions, and accountable owner
  • Ethical risk register entries with treatments and monitoring actions
  • Repeatable triage results that show proportionality and rationale
  • Customer assurance summary for consistent external responses
  • Vendor questionnaire outputs to support supplier due diligence
  • Internal audit sampling evidence and governance gaps identification

Sample output preview (sanitised)

See the format of the outputs without exposing the working workbook.

Includes:

  • Sample triage and decision log extract (dummy data)
  • Sample ethical risk register extract (dummy entries and treatments)
  • Sample customer assurance summary structure (sanitised)

Download sample outputs (sanitised)

Licence summary (plain English)

  • Licensed to a single legal entity (the purchasing organisation)
  • Authorised users include employees and individual contractors acting on your behalf
  • Outputs may be shared with auditors, customers, regulators, and advisers for assurance
  • Toolkit files may not be shared, resold, or reused as a commercial method across other organisations
  • Access to the toolkit files is provided for the life of the product. We recommend retaining a local copy

When this is not for you

  • You want generic AI awareness material or a simple checklist
  • You already operate a fully embedded and audited responsible AI governance framework
  • You want automated technical tooling rather than a governance-led decision workflow

Procurement justification

The AIBI AI Ethics and Responsible Use Toolkit is a one-off governance workflow and evidence pack designed to enable proportionate AI ethics reviews, consistent approvals, and defensible decision trails across AI use cases.

It provides a structured alternative to ad hoc reviews, generic policy templates, and inconsistent approval decisions, producing reusable assurance outputs for internal audit and customer due diligence.

The toolkit includes a triage and decision workflow, ethical impact assessment template, governance RACI, ethical risk register, customer assurance summary, vendor questionnaire, public responsible use statement template, and an internal audit checklist. Outputs can be shared with auditors, customers, regulators, and advisers for assurance purposes, while the underlying toolkit materials remain protected as AIBI Systems intellectual property.

Designed for internal approval and procurement workflows.

Frequently asked questions

Is this aligned with ISO/IEC 42001?

It is designed to align with ISO/IEC 42001 intent and support proportionate AI governance and evidence outputs. It is not a certification assessment.

Is this a certification, audit, or legal assessment?

No. This toolkit supports practical, audit-ready governance and evidence, but it does not provide legal advice and does not guarantee certification outcomes.

How long does a review take?

The workflow supports three levels. A basic review can be completed in 15 to 30 minutes. Medium reviews are typically 45 to 90 minutes. Higher-risk cases may require deeper review and explicit sign-off.

Who should run this internally?

Typically GRC or InfoSec operations runs the workflow, with input from AI and Data leads, and decision sign-off based on your defined RACI and risk level.

Can we share outputs with auditors or customers?

Yes. You may share outputs such as summaries, registers, and decision logs for assurance purposes. The toolkit files themselves must not be shared.

Can we use a consultant or adviser to help run reviews?

Yes. Individual contractors, consultants, or professional advisers may support you as authorised users acting on your behalf. They must not retain copies beyond the engagement.

Is this only for high-risk AI systems?

No. Most organisations need proportionality. This toolkit includes triage so low-risk use cases are not over-governed, while higher-risk cases get deeper review.

Will this help with customer due diligence and RFPs?

Yes. The pack includes a Customer AI Assurance Summary and a Vendor Responsible AI Questionnaire Lite so you can respond consistently and credibly.

Instant digital download. Organisational licence. No subscription. One-off purchase - typically less than a single day of consultancy discovery.

Licensed to a single legal entity. Outputs may be shared with auditors, customers, regulators, and advisers for assurance.