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Anvaylo Governance IntelligenceGOVERNANCE IN PRACTICEGet the toolkit

AI ACCOUNTABILITY TOOLKIT

Who gets seen
when AI ranks
applicants?

A recruiting AI ranking can shape who gets meaningful consideration. Clarify who is accountable, what the AI may do, and what evidence supports its use.

Start with the fictional recruiting example in the video below. Then use the guide, assessment and working records to review one of your own AI workflows.

Cover of Can You Prove Your AI Is Under Control, the Anvaylo executive guideCover of the AI Deployment Accountability Assessment
01 / EXECUTIVE GUIDE02 / FILLABLE ASSESSMENT

Four companion PDFs.
One practical starting point.

01

Ownership

Who is accountable?

02

Authority

What may AI do?

03

Evidence

How do you know?

THE SHORT PUBLIC STORY

Who gets seen when AI ranks applicants?

A short narrated example follows the people, permissions and evidence behind one fictional AI recruiting deployment.

Watch the story or read the illustrated PDF. Both are available without the contact form. The full guides and working records are in the toolkit above.

Download the illustrated public story PDF · No form required
Read the video transcriptOpen the plain-text transcript

Fictional example · An introductory explanation, separate from the full toolkit downloads.

FROM QUESTIONS TO ACTION

A guide to the decision.
A workbook to make it concrete.

01 / THE EXECUTIVE GUIDE

See the workflow behind the AI.

Follow a fictional recruiting deployment to understand how a ranking can shape who receives meaningful consideration, even when a human makes the final decision.

  • Establish ownership. Make decision rights and escalation usable.
  • Define authority. Connect permitted actions to tested boundaries.
  • Examine the evidence. Build a deployment record and a 90-day action plan.
19 pages · Executive guide · PDF

02 / THE FILLABLE ASSESSMENT

Test the controls behind the policy.

Work through 15 questions with your business owner, operator, technical administrator, and relevant reviewers. Record evidence before changing a score.

  • Rate the evidence. Distinguish documented, operating, and verified controls.
  • Surface critical gaps. Identify when a hold or restriction needs a decision.
  • Assign the next actions. Record owners, closure tests, and deployment conditions.
27 pages · Fillable assessment · PDF

FROM REVIEW TO IMPLEMENTATION

Put the next decision into a working record.

03 / IMPLEMENTATION GUIDE

Make ownership usable.

Use the implementation supplement to connect the review to intake, decision rights, evidence and follow-through. Worked examples are fictional.

13 pages · Implementation guide · PDF

04 / COMPANION WORKBOOK

Record the scope and closure evidence.

Four reusable templates help you preserve the deployment boundary, accountable decisions, evidence and next actions in a controlled working copy.

12 pages · Fillable companion workbook · PDF

A WORKED RECRUITING EXAMPLE

“A human decides”
is only the start
of the question.

If recruiters routinely see only the top ten AI-ranked applications, who can inspect the full pool, challenge a ranking, or stop an unauthorized action?

The Northbridge example connects those questions to observations, evidence gaps, and three concrete workstreams.

Fictional example · Illustrative assessment
Northbridge initial review dashboard: 14 out of 45; five critical questions below 2; recommended workstreams to test restrictions and fallback, resolve prerequisites and evaluation, and empower the accountable owner.
A score organizes the review. It does not authorize deployment.

START SMALL. MAKE IT USEFUL.

Bring one workflow.
Leave with the next decision.

  1. 01

    Choose a deployment

    Pick a workflow that affects people or business outcomes. Define its real use and operating scope.

  2. 02

    Review with the right people

    Use the assessment to examine controls and evidence together, including missing or disputed information.

  3. 03

    Prioritize and verify

    Resolve the most consequential gaps. Assign owners and verify the controls before expanding AI authority.

NEW / REGULATORY APPLICABILITY SUPPLEMENT

Check scope before recording a decision.

Add the six-page guide and four-page fillable working records to your existing Accountability Toolkit. Capture selected EU AI Act and NYC employment-tool screening findings, evidence references, reviewers, owners and review dates. Other laws remain unassessed; screening is not legal advice or authorization.

Get the free supplement with the toolkit

Explore a scoped paid assessment

COMPANION BROWSER TOOLS

Make the inputs visible.

AI Use-Case Risk Triage · Fictional example
REVIEW PRIORITY · ILLUSTRATIVE SCORE · EXAMPLE VALUESSTOP · LEGAL REVIEW FIRSTHIGH · REVIEW BEFORE LAUNCHMEDIUM · REVIEW SOONLOW · STANDARD CHECKSUSE CASE · HIRING SCREENER17 of 26 pointsDECIDES · PERSONAL DATASPOT CHECKS ONLYFLOOR: CONSEQUENTIAL PURPOSE + AI DECIDES → AT LEAST HIGH026LOW 0–6 · MEDIUM 7–13 · HIGH 14–26 · STOP ONLY BY FLOOR
REVIEW PRIORITYSTOPHIGHMEDIUMLOWHiring screener17 of 26FLOOR → AT LEAST HIGH

A hiring screener that decides: 17 of 26 points, and a floor holds it at High whatever the average says.

AI Use-Case Risk Triage ↗

Set a review priority for one AI use case, see the answers that drove it and the reviewers to involve.

AI Governance Maturity · Fictional example
SIX GOVERNANCE AREAS · SHARE OF 9 POINTS EACH · EXAMPLE VALUESINVENTORY · 67%ACCOUNTABILITY · 89%POLICY & CONTROLS · 78%EVIDENCE & RECORDS · 22%RISK REVIEW · 56%MONITORING · 33%50% GAP LINEOVERALL 31 / 54 · 57.41%DEFINED ON POINTS ALONECAP → DEVELOPINGWEAKEST: EVIDENCE & RECORDS
INVENTORYROLESPOLICYEVIDENCERISKMONITORING50% LINE

Six areas, 31 of 54 points. Evidence and records at Initial caps the overall level at Developing.

AI Governance Maturity ↗

Rate six governance domains from self-reported answers and get the gaps to close first.

AI Regulatory Applicability Screener · Fictional example
ONE AI USE CASE · TWO LIMITED RULE SETSEU AI ACTSCOPE + CLASSIFICATION REVIEWNYC HIRING TOOLAEDT SCOPE REVIEWOTHER LAWSNOT ASSESSEDFICTIONAL EXAMPLE · NO COMPLIANCE VERDICT
ONE AI USE CASE · TWO LIMITED RULE SETSEU AI ACTSCOPE + CLASSIFICATION REVIEWNYC HIRING TOOLAEDT SCOPE REVIEWOTHER LAWSNOT ASSESSEDFICTIONAL EXAMPLE · NO COMPLIANCE VERDICT

Fictional EU and NYC hiring workflow: selected scope questions need review; other laws remain unassessed.

AI Regulatory Applicability Screener ↗

Identify selected EU AI Act and NYC hiring-tool review questions, missing facts and evidence to collect.

These tools structure self-reported inputs. They do not inspect the deployment or authorize use. All worked examples are fictional.

YOUR NEXT ACCOUNTABLE DECISION

Start with the evidence.

Get the executive guide and assessment, and put one AI workflow under a clearer lens.

Get the free toolkit