Start with visibility.
You cannot govern
what you cannot see.
A focused 2–4 week enterprise engagement that establishes a clear view of AI usage, ownership, exposure and governance readiness.
Governance needs evidence
of what actually exists.
AI is already distributed across applications, SaaS products, models, providers, APIs, teams and workflows.
Before policy can be applied reliably, leadership needs a documented view of what AI is operating, who owns it and where exposure exists.
See the Platform.
Define the Engagement.
Following a tailored Technical Project, where SoSure demonstrates its capabilities against the organisation's selected governance requirements, we are ready to initiate a focused Executive AI Governance Assessment.
The assessment establishes the organisation's governance baseline and defines the priorities for operational adoption. Organisations ready to begin their assessment may proceed directly without a preceding Technical Project.
Technical Project
Validate platform capabilities
Assessment
Establish governance baseline · 2–4 weeks
Deployment
Extend into operational governance
A defined starting point
for enterprise AI governance.
The assessment establishes a practical governance baseline across a defined enterprise scope.
It identifies AI activity, ownership, exposure and governance gaps — then turns those findings into clear executive priorities.
A documented view
of the AI environment.
AI Discovery
Identify AI applications, models, providers, embedded capabilities and unmanaged usage.
Ownership & Exposure
Establish ownership and identify data access, infrastructure dependencies and operational exposure.
Governance Evidence
Structure evidence around intended use, risk, safeguards, policy and accountability.
Executive Visibility
Translate findings into leadership-ready views of exposure, gaps and required action.
Evidence that leads
to action.
The assessment turns enterprise AI activity into a documented governance baseline and prioritized executive actions.
Executive Governance Report
Key findings, governance gaps and recommended actions.
AI Visibility Map
AI activity, models, providers, ownership and exposure across the defined scope.
Governance Evidence
Structured records covering intended use, ownership, risk, safeguards and supporting evidence.
Governance Blueprint
Ownership, governance responsibilities, reporting and executive oversight.
Prioritized next actions.
A practical sequence for strengthening governance maturity, visibility and operational readiness.
Establish the baseline.
Then extend control.
The assessment provides the evidence and governance clarity needed to decide what comes next.
SoSure is already a production-ready enterprise AI governance platform. Following the assessment, organisations can extend their governance baseline into ongoing visibility, executive oversight and operational control without waiting for a new platform to be developed.
Explore the Platform ArchitectureControl is the destination.
A proven, deployable governance platform built to support continuous enterprise AI oversight.
Start with what is actually there.
Establish visibility, ownership and governance clarity before enterprise AI exposure scales further.