Assess the decisions AI influences, the data it uses, and the impact of failure.
AI Governance& Risk
Scale AI with confidence.
Keep control where it matters.
Assess Risk.
Define Accountability.
Establish Control
Every AI-enabled workflow needs clear boundaries. What can the system access? Which decisions can it support? When must a person step in?
SSI turns those answers into practical governance, with clear ownership and evidence that supports review.
Why GovernanceComes First
Good governance makes AI easier to approve, scale, and trust.
Clear Accountability
Named owners for every workflow, decision, and intervention.
Controlled Access
AI systems reach only the data and tools their task requires.
Audit-Ready Evidence
Usage, outputs, and decisions are recorded and traceable.
Confident Scaling
Autonomy expands only when the evidence supports it.
Our GovernanceServices
Controls designed around the work, the people affected, and the cost of getting it wrong.
Risk Assessment
Assess the decisions AI influences, the data it uses, and the impact of failure.
Decision Rights
Define who owns each workflow, approves deployment, and can intervene.
Access Management
Control who can use each AI system and what data and tools it can reach.
Policy Controls
Build approval points, thresholds, and usage limits into the workflow.
Auditability & Usage Tracking
Record who used the system, what it accessed, and what it produced.
Guardrails & Monitoring
Keep AI behavior within agreed limits, with clear triggers to escalate or suspend.
What We Deliver
A Clear Path Forward.
Exposure across the workflows in scope, with priorities for action.
Standards, Applied.
Our approach is built on recognized frameworks. We build to their guidelines, so your organization is well placed to pursue certification.
NIST AI Risk Management Framework
Govern, map, measure, and manage AI risk across the lifecycle.
ISO/IEC 42001 & ISO/IEC 23894
International standards for AI management systems and AI risk management.
OWASP Top 10 for LLM Applications
The security reference for risks specific to language models and agents.
Our Approach
Business, technology, and risk stakeholders set the boundaries together, based on how the workflow actually operates.
Establish the Scope
Identify the AI initiatives, workflows, stakeholders, and existing policies to assess.
Assess Exposure
Examine data access, decision impact, reliability, and failure scenarios. Review existing controls.
Define the Controls
Agree ownership, permissions, approval points, and escalation paths. Specify the evidence required.
Plan Implementation
Prioritize gaps, assign responsibilities, and set the points where reassessment is required.
FAQs
Common questions about AI governance with SSI.
Let’s talk
Tell us about the AI systems you use or plan to deploy. We’ll help you define the right governance scope.
