Boards do not need more AI noise.
They need
defensible oversight.
The AIGN Board & Audit AI Governance Radar translates AI developments, regulatory pressure, audit findings, risk signals and governance gaps into board-ready oversight, audit evidence and defensible management action.
Not an AI trend report. A governance intelligence layer for boards, audit committees and executive leadership.
The Radar does not sell information. It sells executive clarity, evidence readiness and defensible AI governance decisions.
Board: oversight and personal accountability
Audit Committee: evidence and control assurance
Management: decisions, ownership and escalation
AI Governance: must become defensible under pressure
AI is scaling into the enterprise.
But board oversight often remains too abstract.
Boards and audit committees are expected to oversee AI risk, accountability, compliance and control effectiveness. But most AI governance reporting is either too technical, too legal, too generic or too late. What leadership needs is a recurring view of exposure, decisions, evidence gaps and defensibility.
“Which AI risks should the board actually see, challenge and track?”
“Can management prove that AI governance is operating, not only documented?”
“Which AI decisions, systems or use cases create audit, regulatory or liability exposure?”
“Could the organization defend its AI governance position within 24 hours under scrutiny?”
The risk is not that AI exists.
The risk is that oversight cannot be
evidenced.
AI governance becomes a board issue when autonomy, data access, automated recommendations, customer impact, employee impact or regulatory obligations create exposure. Boards need evidence-based oversight, not generic assurance.
Boards need clear AI risk visibility and challenge points
Audit committees need logs, controls, ownership and testing
Management needs defensible decisions and escalation paths
Organizations must answer what AI did, who approved it and how it was controlled
A board and audit-ready AI Governance Radar for defensible oversight.
The AIGN Board & Audit Radar converts AI developments, regulatory expectations, governance gaps and risk signals into executive-ready oversight briefings, audit evidence maps and decision-oriented action backlogs.
The product is not another report. It is a recurring governance intelligence layer for boards, audit committees and executive teams that need to know what matters, what is exposed and what must be evidenced.
From AI governance uncertainty to board-level defensibility.
Eight executive lenses.
One AI governance oversight view.
Board Oversight Radar
Strategic AI risk, governance maturity, decision exposure, accountability, board questions and oversight rhythm.
“The board must know what to ask before AI risk becomes visible.”
Audit Committee Radar
Audit evidence, control design, assurance gaps, governance testing, decision logs and management challenge points.
“Audit committees need evidence — not comfort language.”
Management Accountability Radar
Executive ownership, escalation paths, decision responsibilities, risk acceptance and defensible management action.
“Management must prove who owns AI risk and what was done about it.”
AI Risk & Liability Radar
Regulatory exposure, liability signals, customer and employee impact, third-party risk and incident readiness.
“AI liability starts where governance evidence ends.”
Internal Audit Radar
Audit program design, control testing, maturity assessment, AI use-case review and evidence-based assurance.
“Internal Audit must test whether AI governance actually works.”
24-Hour Defensibility Radar
Rapid scrutiny readiness, decision reconstruction, evidence availability, role clarity and executive response preparation.
“Can you defend what your AI is doing within 24 hours?”
Regulatory Timeline Radar
EU AI Act deadlines, GDPR exposure, ISO/IEC 42001, NIST AI RMF, DORA, NIS2 and board-relevant regulatory movement.
“Regulation becomes board-relevant when timing meets accountability.”
AI Incident & Escalation Radar
Incident scenarios, escalation logic, communication duties, evidence preservation and board notification triggers.
“AI incidents expose whether governance was real or theoretical.”
Board-Level AI Governance Briefing
Concise executive reporting with top risks, exposure heatmap, control status, evidence gaps and recommended board decisions.
“The board needs the signal, not the noise.”
Choose the lens.
See the oversight questions.
The Radar translates AI governance into executive, board and audit committee questions that can be tracked, challenged and evidenced.
“Which AI risks are material enough for board visibility and challenge?”
The Radar identifies board-relevant AI exposure across strategy, regulation, operations, customers, employees, vendors and reputation.
“Does the board receive evidence of AI governance effectiveness — or only management assurance?”
The Radar translates governance status into board-level evidence, key questions, decision points and oversight rhythm.
“Can the board demonstrate informed oversight of AI risk?”
The Radar helps define what the board should ask, track, challenge and record.
“Which AI controls are designed, implemented, tested and evidenced?”
The Radar identifies control gaps across AI lifecycle, access, human oversight, logging, third-party AI and decision evidence.
“Can the audit committee challenge management on AI governance effectiveness?”
The Radar creates focused challenge questions and management evidence requests.
“Where should AI governance enter the audit plan?”
The Radar supports audit committee oversight of internal audit scope, risk-based testing and assurance priorities.
“Who owns AI risk, AI controls, AI incidents and AI decisions?”
The Radar maps executive ownership and management responsibilities across business, technology, risk, legal and compliance.
“Which AI decisions require management approval, escalation or risk acceptance?”
The Radar translates AI developments into decision rights, escalation thresholds and approval logic.
“Can management prove that governance action followed identified AI risk?”
The Radar supports evidence of action, accountability and control remediation.
“How can Internal Audit test whether AI Governance actually works?”
The Radar identifies audit objectives, control areas, evidence needs and testable AI governance criteria.
“Which AI use cases, platforms or functions should be audited first?”
The Radar provides risk-based prioritization for AI audit planning and assurance scope.
“Can Internal Audit reconstruct AI decisions, approvals, changes and control performance?”
The Radar connects auditability to logs, ownership, evidence records and governance operating rhythm.
“Where could AI create legal, regulatory, customer, employee or financial liability?”
The Radar identifies liability exposure across decisions, automation, data use, vendor AI and AI-generated outputs.
“What evidence would be needed to defend AI governance decisions?”
The Radar maps exposure to documentation, logs, approvals, risk assessments, controls and oversight records.
“Which governance gaps could become board or management exposure?”
The Radar helps leadership understand where unresolved AI risks create accountability pressure.
“Could the organization explain within 24 hours what an AI system did and why?”
The Radar tests whether decisions, outputs, approvals, ownership and controls can be reconstructed quickly.
“Is the evidence available, complete and owned?”
The Radar identifies evidence gaps across use-case registers, logs, oversight records, risk assessments and vendor documentation.
“Who would answer the board, regulator, auditor, customer or media?”
The Radar supports response ownership, escalation logic and executive defensibility preparation.
“Which regulatory timelines require board attention now?”
The Radar translates changing regulatory requirements into executive-level deadlines, implications and decision needs.
“Where do AI Act, GDPR, ISO 42001, NIST, DORA or NIS2 expectations overlap?”
The Radar identifies integrated governance implications across legal, risk, security, data and audit domains.
“Which regulatory developments create board, audit or management exposure?”
The Radar prioritizes what leadership must understand, challenge and evidence.
“What counts as an AI incident and who must be informed?”
The Radar helps define incident thresholds, notification logic, internal ownership and escalation routes.
“Can the organization preserve and reconstruct evidence after an AI failure?”
The Radar identifies evidence needs around prompts, outputs, logs, decisions, approvals, model changes and vendor involvement.
“Is the board prepared for AI incident communication and accountability?”
The Radar supports executive response readiness, governance communication and crisis defensibility.
Not just monitoring.
Board and audit-ready output.
Each Radar cycle converts AI developments and governance gaps into executive-ready and audit-usable deliverables.
Board Briefing
A concise executive briefing with top AI governance risks, exposure signals, required decisions, management questions and board-level implications.
Audit Evidence Map
Mapping of required evidence: use-case inventory, decision logs, approvals, controls, human oversight, access records and accountability documentation.
Executive Action Backlog
Prioritized actions for board, audit committee, management, internal audit, legal, risk, compliance, IT, DPO and AI governance owners.
Four steps.
Executive clarity.
Executive scope
Define the oversight lens: board, audit committee, executive management, internal audit, liability, regulatory timeline or 24-hour defensibility.
Governance signal filtering
Developments are filtered for board and audit relevance: risk materiality, accountability, control gaps, evidence needs, regulatory exposure and management action.
AIGN interpretation
AIGN translates AI governance developments into board-ready oversight questions, audit committee challenge points and management actions.
Defensible action
Each cycle ends with clear decisions, evidence requests, risk level, responsible owners and one defensibility question leadership must be able to answer.
Why organizations buy the Board & Audit Radar.
Board-ready visibility
Leadership receives a concise view of what AI governance risks matter, which decisions are required and which questions should be asked.
Less AI noise. More oversight clarity.
Audit-ready evidence
Audit committees and internal audit teams receive a structured evidence view across controls, logs, ownership, oversight and decision records.
Not assurance by wording — assurance by proof.
24-hour defensibility
The Radar strengthens the organization’s ability to answer scrutiny quickly: what happened, who owned it, which controls existed and what evidence proves it.
Can you defend what your AI is doing?
Start with executive visibility.
Scale into board-level governance intelligence.
Three service levels depending on how much cadence, interpretation, evidence mapping and executive support your organization needs.
Pilot
Board Radar Starter
€1,250
per month · monthly cancellable
For organizations that want a first board and audit-ready AI governance view.- 1 monthly executive briefing
- Top 5 board-relevant AI governance developments
- Risk level and affected management owners
- Board challenge questions
- Audit evidence checklist
- Optional 30-minute review call
Recommended
Board & Audit Radar Professional
€2,950
per month · monthly cancellable
For boards, audit committees and executive teams with active AI exposure.- 2 briefings per month
- Board and audit committee impact assessment
- Risk & evidence mapping
- Monthly 60-minute executive sparring call
- 24-hour defensibility checklist
- Executive action backlog
- EU AI Act, GDPR, ISO 42001, NIST, DORA and NIS2 alignment lens
Enterprise
AI Governance Intelligence Desk
€9,500+
per month · scope-based
For regulated organizations, groups and board-level AI transformation programs.- Weekly monitoring and executive briefing
- Board, audit and management lens
- Use-case-specific defensibility assessments
- Control, evidence and policy update recommendations
- Quarterly board or audit committee report
- Monthly executive steering call
- Optional board, audit or management workshop
Turn AI Governance into board-ready oversight before it becomes exposure.
Start with a focused pilot. We define your executive lens — board, audit committee, internal audit, management accountability or 24-hour defensibility — and deliver the first Radar briefing within the agreed monthly cycle.
- Choose board, audit committee, internal audit, liability or defensibility lens
- Define the relevant audience: board, audit committee, CEO, CFO, CIO, CISO, GC, CRO, CCO or AI governance lead
- Receive your first board and audit-ready briefing
- Review evidence gaps and action backlog in a short sparring call
- Scale into recurring executive governance intelligence if useful
Request the AIGN Board & Audit Radar
Write directly with your focus area: Board Oversight, Audit Committee, Internal Audit, Management Accountability, Liability, Regulatory Timeline or 24-Hour Defensibility.
Include your organization type, current AI exposure and the governance question your leadership team needs answered first.
Suggested first step: 30-minute fit call · Board / Audit / Defensibility lens · Monthly pilot available