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Banking Executive Assessment

Assess your Enterprise AI Governance and Operational Readiness

Evaluate whether your institution can see, own, oversee and evidence the AI systems, copilots and agents operating across regulated workflows. The assessment takes 8–10 minutes and is designed for banking leaders across risk, compliance, audit, legal, security, technology and operations.

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Assessment section

Institution Profile

Which best describes your organization?
Which function is primarily completing this assessment?

Assessment section

AI Inventory & Visibility

How complete is your view of the AI systems, models, copilots, agents and AI-enabled tools operating across your organization?
How does your organization identify shadow AI or unmanaged AI use?
Where is AI currently used or being evaluated in material banking activities?

Assessment section

Agentic AI Governance

Does your organization currently use or pilot autonomous AI Agents?
How well does your organization understand what AI Agents can access, influence or execute in business workflows?

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Governance & Accountability

How consistently are accountable owners assigned to material AI systems, agents and AI-enabled workflows?
Which governance or control functions review material AI use cases?
How well do AI policies become repeatable operating controls?

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Risk, Data & Third Parties

How consistently do teams identify customer data, confidential data or regulated data exposure in AI workflows?
Do data, confidentiality or infrastructure requirements limit where your organization can use external AI services?
How are third-party AI providers and AI-enabled vendor tools governed?

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Audit & Evidence Readiness

If internal audit requested AI governance evidence today, how quickly could teams assemble it?
Which materials could you produce reliably for a regulator, supervisor or board-level review?

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Operating Model & Resilience

How well is AI governance integrated into existing risk, security, privacy, resilience and change-management processes?
What is the highest-priority governance improvement for the next 6 months?

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Share your governance benchmark intake

No score or automated report is generated. Responses are used as structured governance context for enterprise follow-up.

Assessment perspective

What the assessment examines

AI Visibility

Understand whether the institution has a reliable view of the AI systems, models, copilots, agents and AI-enabled tools operating across the organization, including shadow or unmanaged AI.

Operational AI

Identify where AI is used in material banking activities, how AI Agents participate in business workflows, and where AI creates meaningful customer, data or operational exposure.

Accountability & Governance

Assess whether material AI capabilities have accountable owners, appropriate governance attention and controls that translate policy into day-to-day operating practice.

Risk & Regulatory Readiness

Examine how regulated data, third-party AI and material AI use are integrated into existing risk and control processes, and whether the institution is prepared for regulatory scrutiny, including EU AI Act requirements.

Evidence

Determine whether the institution can retrieve and explain the evidence needed to demonstrate its AI governance state to executive management, control functions and regulators.

Cross-functional readiness

Bring the functions responsible for AI-enabled work into view

Compliance
Risk
Legal
Internal Audit
Security
AI Governance
IT Governance

After completion

Turn responses into a focused governance conversation

Your responses provide structured context for a follow-up discussion about AI visibility, accountability, operational controls, evidence readiness and constraints affecting where AI can be operated across your institution.

Visibility: where AI is operating and where material gaps remain.
Accountability: whether material AI capabilities have clear ownership and governance attention.
Operational exposure: where AI interacts with regulated data, third parties or material banking activities.
Evidence readiness: whether governance information can be retrieved and explained for executive, control or regulatory review.
AI operating constraints: whether data, confidentiality, security or infrastructure requirements restrict where external AI services can be used.