Executive AI Governance Assessment

Establish visibility before
enterprise AI exposure scales further

AI is already distributed across applications, SaaS products, models, providers, APIs, teams and workflows. Leadership often lacks a reliable view of what is actually in use, who owns it and where operational exposure exists.

The SoSure Executive AI Governance Assessment provides a structured entry point for establishing that visibility, identifying governance gaps and creating a documented baseline leadership can act on.

Assessment Overview

A focused enterprise engagement to establish AI governance visibility

The assessment is designed for organisations that need a clear understanding of AI usage, ownership, exposure, governance maturity and accountability across a defined enterprise scope.

Rather than beginning with a broad transformation program, the engagement establishes a practical governance baseline and a prioritized set of actions leadership can use immediately.

What The Assessment Identifies

A documented view of the enterprise AI environment

The engagement identifies where AI is being used, which models and providers are involved, who owns them, what systems and data may be exposed and which governance requirements require attention.

AI Discovery

Identify AI applications, models, providers, embedded capabilities and unmanaged usage across the defined scope.

Ownership & Exposure

Establish ownership and identify data access, infrastructure dependencies, accountability gaps and operational exposure.

Governance Evidence

Structure evidence around intended use, risk, safeguards, policies, accountability and governance requirements.

Executive Visibility

Present the findings in leadership-ready views that make exposure, governance gaps and required action understandable.

Executive Deliverables

Practical outputs leadership can use immediately

The assessment produces a documented governance baseline, structured evidence and prioritized recommendations for the defined enterprise scope.

Executive Governance Report

Executive summary, key findings, governance gaps and recommended actions.

AI Visibility Map

A structured view of AI activity, models, providers, ownership and exposure across the defined scope.

Model Card Structures

Governance records documenting intended use, ownership, risk, safeguards and supporting evidence.

Governance Blueprint

A practical structure for ownership, governance responsibilities, reporting and executive oversight.

Executive Roadmap

Prioritized next actions for improving governance maturity, visibility and operational readiness.

Why Visibility First

Governance requires evidence of what actually exists

Policies and governance frameworks cannot be applied reliably when the organisation does not know which AI systems, models and providers are actually operating.

The assessment establishes that evidence first, creating a stronger foundation for ownership, governance decisions and future operational oversight.

Enterprise Fit

Designed for complex and regulated enterprise environments

The engagement is designed for organisations where AI adoption, governance, accountability, compliance, data control and infrastructure dependencies are becoming strategically important.

It provides a defined starting point before broader governance orchestration, monitoring or operational control is introduced.

Entry Point

The assessment establishes the baseline. The platform extends it.

The Executive AI Governance Assessment is the practical starting point for organisations that need visibility and governance clarity before expanding AI further.

From that baseline, SoSure provides a path toward broader governance visibility, ongoing oversight and increasingly operational control across enterprise AI environments.

Executive Engagement

You cannot govern what you cannot see

The SoSure Executive AI Governance Assessment gives leadership a structured view of AI usage, ownership, exposure and governance readiness before those risks scale further.