AI Governance does not fail in theory.
It fails inside
real departments.
The AIGN Functional AI Governance Radar translates AI developments, regulatory pressure, platform risks and use-case patterns into department-specific governance action for Legal, Compliance, Risk, IT, HR, Finance, Procurement, Internal Audit, Marketing, Sales and Operations.
Not another AI governance update. A functional early-warning system for operational accountability.
The Radar does not sell generic information. It sells functional interpretation, prioritization and defensible governance action.
Legal: liability, contracts and evidence
Risk: exposure, ownership and escalation
IT: access, logs and system control
Audit: proof that governance works
AI Governance is discussed centrally.
But it must be operated function by function.
Most organizations talk about AI Governance as if it were one central policy. In reality, AI creates different obligations in each department. Legal sees liability. HR sees employment decisions. IT sees access and systems. Compliance sees control obligations. Risk sees exposure. Internal Audit sees evidence. Without functional translation, governance remains abstract.
“What does AI Governance mean specifically for Legal, Compliance, HR, IT or Finance?”
“Which department owns which AI risk, control, decision, evidence or escalation path?”
“Which AI use cases require human oversight, documentation, access control or audit trails?”
“Can each function defend its role in governing AI under audit, board or regulatory pressure?”
The risk is not that departments use AI.
The risk is that no function knows
what it must govern.
AI Governance becomes real when departments know what to monitor, document, approve, challenge, escalate and evidence. Functional accountability is where governance becomes operational.
AI creates liability, contract and evidence obligations
AI touches systems, data, permissions, logs and agents
AI affects people, careers, fairness and employment decisions
Governance must be testable, evidenced and defensible
A functional AI Governance Radar for the departments that must act.
The AIGN Functional Radar translates AI developments into department-specific governance impact, risk exposure, control requirements and concrete action steps.
The product is not central governance theory. It helps each department understand what AI means for its own responsibilities, decisions, controls, data, workflows and evidence.
From central policy to functional ownership.
Ten functional lenses.
One governance operating view.
Legal Radar
AI liability, contracts, IP, GDPR, AI Act, vendor clauses, documentation duties and defensible legal positions.
“Legal must know where AI creates liability before exposure becomes visible.”
Compliance Radar
Policies, regulatory obligations, control frameworks, monitoring duties, evidence requirements and governance implementation.
“Compliance must prove that AI Governance is operated, not only written down.”
Risk Radar
AI risk taxonomy, enterprise risk management, model risk, operational risk, third-party risk and escalation logic.
“Risk must know which AI exposure is material, owned and escalated.”
IT & Security Radar
System access, identity, permissions, data flows, logs, AI agents, cybersecurity, integrations and technical guardrails.
“IT must prove what AI can access, trigger, expose or automate.”
HR Radar
Recruiting, workforce analytics, performance management, employee monitoring, bias, transparency and human oversight.
“HR AI affects people, rights, careers and trust.”
Finance Radar
Forecasting, reporting, controlling, fraud, ERP AI, budgeting, approval flows, financial evidence and audit readiness.
“Finance must defend AI-supported numbers, forecasts and controls.”
Procurement Radar
AI vendor governance, supplier risk, due diligence, contracting, AI clauses, third-party exposure and sourcing controls.
“Procurement controls AI risk before it enters the organization through vendors.”
Internal Audit Radar
Auditability, control testing, evidence review, maturity checks, governance effectiveness and AI audit programs.
“Internal Audit must test whether AI Governance actually works.”
Marketing & Sales Radar
Generative AI content, personalization, chatbots, customer targeting, claims, consent, brand risk and customer interaction.
“Customer-facing AI must be transparent, controlled and brand-defensible.”
Operations Radar
Automation, process AI, AI agents, quality, escalation, process control, human approval and operational accountability.
“Operations must know when AI moves from support into action.”
AI Governance Coordination
Role clarity, governance operating model, RACI, escalation paths, decision logs, oversight rhythm and board-level defensibility.
“AI Governance only works when departments know how they connect.”
Board & Management Radar
Executive exposure, strategic AI risk, governance maturity, regulatory timelines, top risks and defensibility under pressure.
“The board does not need AI noise. It needs governance clarity.”
Choose the function.
See the governance questions.
The Functional Radar translates AI Governance into concrete departmental responsibilities, controls, evidence needs and action items.
“Where does AI create liability, contractual, data protection or intellectual property exposure?”
The Radar identifies legal risk points arising from AI use cases, vendors, automated decisions, data processing and AI-generated outputs.
“Do our contracts, vendor clauses and internal policies reflect how AI is actually used?”
The Radar translates AI developments into contract, policy, documentation and responsibility requirements.
“Can Legal defend the organization’s AI governance position under dispute, audit or regulatory scrutiny?”
The Radar helps Legal define evidence, ownership, escalation and defensibility needs before exposure materializes.
“Which AI obligations must be translated into policies, controls and monitoring routines?”
The Radar maps regulatory developments to practical compliance actions, ownership and evidence requirements.
“Can Compliance prove that AI Governance is operated and not only documented?”
The Radar highlights where documentation, periodic review, training, controls and audit trails are required.
“Where do AI tools create policy gaps, control failures or unmonitored obligations?”
The Radar supports compliance teams with actionable backlog items and functional accountability mapping.
“Which AI risks are material enough to enter the enterprise risk management framework?”
The Radar identifies where AI creates strategic, operational, model, legal, reputational or third-party exposure.
“Who owns AI risks, how are they assessed and when must they be escalated?”
The Radar translates AI developments into ownership, risk scoring, treatment actions and escalation paths.
“Can Risk explain the organization’s AI risk posture to management, audit or regulators?”
The Radar supports risk reporting, risk appetite discussions, KRIs and defensible AI risk governance.
“What can AI systems access, generate, expose, trigger or automate?”
The Radar maps AI developments to access management, permissions, identity, connectors, data flows and system integration risks.
“Are logs, monitoring, technical guardrails and incident paths sufficient for AI-enabled systems?”
The Radar identifies where technical controls, monitoring, logging and escalation are required.
“Can IT and Security prove how AI tools, copilots and agents are configured and controlled?”
The Radar turns AI use into evidence requirements for security, audit, compliance and operational resilience.
“Which HR AI use cases affect candidates, employees, careers, performance or workforce decisions?”
The Radar identifies high-impact HR AI use cases where fairness, transparency, rights and human oversight become critical.
“Can HR prove that AI-supported employment decisions remain fair, explainable and human-controlled?”
The Radar translates AI use into review steps, bias checks, documentation and oversight requirements.
“Where do employee monitoring, skill matching or workforce analytics create trust and compliance exposure?”
The Radar supports HR, Legal, DPO, Works Council, Compliance and IT alignment.
“Which AI-supported financial processes affect reporting, forecasting, controlling or approval flows?”
The Radar identifies where AI affects financial decisions, estimates, controls, audit trails or management reporting.
“Can Finance explain AI-supported numbers, assumptions, recommendations and overrides?”
The Radar maps AI use to evidence, review, approval, segregation of duties and financial control requirements.
“Where do ERP AI, forecasting tools or fraud models create governance exposure?”
The Radar supports Finance, Controlling, Internal Audit, Risk and IT with actionable governance checks.
“Which suppliers introduce AI risk into the organization before internal governance sees it?”
The Radar identifies vendor-driven AI exposure across software, platforms, services, outsourcing and embedded AI capabilities.
“Do procurement processes include AI-specific due diligence, clauses and risk questions?”
The Radar translates AI developments into procurement controls, supplier assessments, contractual safeguards and approval criteria.
“Can Procurement prove that AI risk was assessed before vendor onboarding?”
The Radar supports evidence, vendor governance, third-party risk management and cross-functional approval workflows.
“How can Internal Audit test whether AI Governance actually works?”
The Radar identifies audit questions, control objectives and evidence needs for AI governance operating models.
“Which AI controls should be included in audit plans, testing programs and maturity assessments?”
The Radar maps AI developments to audit-ready control areas, including ownership, documentation, logging and oversight.
“Can the organization reconstruct AI decisions, responsibilities, approvals and changes?”
The Radar supports audit teams in defining defensibility, traceability and governance evidence standards.
“How is AI used in content, personalization, campaigns, lead scoring, chatbots or customer interaction?”
The Radar identifies where customer-facing AI creates transparency, consent, fairness, brand or communication risk.
“Can Marketing and Sales defend AI-generated claims, recommendations and customer targeting logic?”
The Radar maps AI use to review, approval, disclosure, documentation and customer trust requirements.
“Where do AI tools create hallucination, misleading claims, data misuse or reputational exposure?”
The Radar supports governance for content workflows, customer communication, campaigns and sales enablement.
“Where does AI move from support into operational action?”
The Radar identifies where AI systems trigger workflows, recommend actions, automate decisions or affect process outcomes.
“Which operational AI actions require human approval, monitoring, fallback or escalation?”
The Radar translates AI capabilities into practical controls for process ownership, supervision, exception handling and quality assurance.
“Can Operations prove who remains accountable when AI changes a process outcome?”
The Radar supports operational governance through logs, roles, approvals, controls and process documentation.
Not just AI governance monitoring.
Department-ready output.
Each Radar cycle converts AI developments into function-specific deliverables for the teams that must act.
Functional Briefing
A structured briefing for one or more departments with executive summary, relevant AI developments, functional impact and affected responsibilities.
Risk & Control Mapping
Mapping to departmental controls, human oversight, data access, documentation, evidence, auditability, escalation and accountability.
Department Action Backlog
Prioritized actions for Legal, Compliance, Risk, IT, Security, HR, Finance, Procurement, Internal Audit, Marketing, Sales or Operations.
Four steps.
Functional clarity.
Function selection
Select the relevant function: Legal, Compliance, Risk, IT & Security, HR, Finance, Procurement, Internal Audit, Marketing & Sales or Operations.
Governance filtering
Developments are filtered for functional relevance: duties, controls, data, systems, decisions, evidence, escalation, ownership and auditability.
AIGN interpretation
AIGN translates AI developments into practical meaning for the selected department and its interfaces with other functions.
Governance action
Each cycle ends with clear departmental actions, evidence needs, risk level, affected owners and one defensibility question the function must be able to answer.
Why organizations buy the Functional Radar.
Clear ownership
Teams understand who owns which AI Governance task, risk, control, documentation and escalation path.
Less confusion. More accountability.
Faster execution
Departments receive concrete actions instead of abstract AI Governance principles. This accelerates implementation.
From policy to operating rhythm.
Audit-ready evidence
The Radar defines which records, logs, approvals, checks and controls each function needs to evidence.
Can each function defend its AI Governance role?
Start with one function.
Scale into operated governance.
Three service levels depending on how much interpretation, cadence and executive support your organization needs.
Pilot
Functional Radar Starter
€950
per month · monthly cancellable
For organizations that want a focused first functional AI Governance radar.- 1 monthly briefing for one selected function
- Top 5 AI governance developments with functional relevance
- Risk level and affected owners
- Action checklist for the next 30 days
- Email delivery as PDF or executive memo
- Optional 30-minute review call
Recommended
Functional Radar Professional
€1,950
per month · monthly cancellable
For AI Governance leads and departments with active AI exposure.- 2 briefings per month for one selected function
- Functional governance impact assessment
- Risk & control mapping
- Monthly 60-minute sparring call
- Department action backlog
- Board-level summary
- EU AI Act, GDPR, ISO 42001 and NIST alignment lens
Enterprise
Functional Intelligence Desk
€7,500+
per month · scope-based
For organizations that need cross-functional AI Governance intelligence.- Weekly monitoring and executive briefing
- Multiple functional lenses
- Cross-functional governance mapping
- Control and policy update recommendations
- Quarterly board or audit committee report
- Monthly steering call
- Optional workshops for Legal, Risk, IT, HR, Finance or Audit teams
Turn AI Governance into department-specific action before it becomes exposure.
Start with one focused functional lens. We define your priority department, governance question and target audience — then deliver the first Radar briefing within the agreed monthly cycle.
- Choose one function or a cross-functional governance view
- Define the relevant audience: Legal, Compliance, Risk, IT, HR, Finance, Procurement, Internal Audit, Marketing, Sales or Operations
- Receive your first department-ready briefing
- Review practical actions and backlog in a short sparring call
- Scale into monthly or enterprise service if useful
Request the AIGN Functional Radar
Write directly with your functional focus: Legal, Compliance, Risk, IT & Security, HR, Finance, Procurement, Internal Audit, Marketing & Sales or Operations.
Include your organization type, current AI focus and the governance question your department needs answered first.
Suggested first step: 30-minute fit call · One functional lens · Monthly pilot available