01
We know teams use AI, but we cannot see the full picture.
Start with: Shadow AI Audit. Build a practical inventory and identify the data, provider, and ownership patterns that need attention.
Solutions by business need
Start from the AI decision in front of you.
SafeBiz organises governance around the moments that create uncertainty—not a catalogue of disconnected compliance labels.
Explore Shadow AI Audit →
02
Our leadership team needs a responsible AI position.
Start with: AI Visibility & Governance Baseline. Translate the current posture into a decision record, ownership model, and 90-day plan.
03
We have policy documents, but evidence is scattered.
Start with: Control Room setup. Connect the actual use case to its owner, risk assessment, evidence, and review cycle.
04
We want useful AI adoption without unmanaged risk.
Start with: approval and enablement workflows. Establish a safe route for new use cases rather than driving work underground.
Made for real stakeholders
Different leaders ask different questions. SafeBiz puts them on one shared operating record.
Security & IT
Where are sensitive data and provider risks appearing?
Connect AI use to real systems, data, controls, exceptions, and remediation actions.
- Vendor context
- Data exposure signals
- Control tracking
Risk & compliance
Can we demonstrate proportionate governance?
Maintain a defensible narrative about how material use cases are identified, assessed, owned, and reviewed.
- Framework mapping
- Evidence history
- Review cadence
Executives & boards
What requires our attention or decision?
Receive concise, current reporting on material AI exposure, open actions, owners, and progress.
- Critical decisions
- Risk posture
- Accountability view
Framework aware, not framework led
Use obligations to inform action—not to overload the homepage.
SafeBiz maps the operating work to your relevant frameworks and role. The actual solution begins with the AI use cases, systems, and decisions in your organisation.
EU AI Act
Clarify role, risk category, and evidence needs.
Focus on the requirements that matter for your actual use cases and responsibilities.
NIST AI RMF
Turn Govern, Map, Measure, Manage into practical work.
Use a common risk-management language without mistaking a voluntary framework for a checkbox certificate.
Security + privacy
Connect AI controls to existing operating risk.
Keep data handling, vendors, access, and incident readiness relevant to the AI workflow itself.
Choose the solution that makes your next decision easier.
Get a first recommendation through the guided AI Risk Snapshot.