Executive leadership
Understand the service in scope, the people accountable and the decisions that need attention.
AI governance & risk management
AI governance, connected to the work it governs.
A compliance platform for AI governance and risk management.
Liquid Learn’s AI governance software maps AI-enabled services, connects controls and evidence, and makes ownership clear across compliance, operations and technology teams. Track team training and certifications alongside the work they support.
Service boundariesAccountable ownersReview evidence
Inside Liquid LearnService governance
See the service. Understand the decision.
A shared record.
Different responsibilities.
Risk & compliance
Connect governance requirements to controls, supporting evidence and the next review.
Operations & technology
Work from a shared map of systems, data movements, human handoffs and external dependencies.
One connected compliance environmentStart with the obligation.
Start with the obligation.
Or start with the work.
Bring regulatory expectations and operational reality into the same AI governance and risk management process.
From regulatory change to accountable action.
Ingest regulatory sources, track obligations and review which requirements apply. Connect the governance work to owners, controls and supporting evidence.
- Regulatory sources
- Obligations & applicability
- Controls & accountability
From service activity to an informed review.
Map how AI is used, identify human oversight and bring metering into the operating context. Use the service record and evidence to review risk against the requirements that matter.
- AI services & metering
- Oversight & evidence
- Risk & governance review
The product workspace
Give every governance decision its operating context.
Liquid Learn’s AI governance software connects the service map to review work. See where AI is used, who is responsible and what the record supports.
Make the review a shared piece of work.
Bring the review owner, scope, linked service flows and approval cycle into one packet. Keep evidence references with the work being reviewed.
Keep the requirement connected to its source.
Organize automatically identified and manually maintained requirements alongside source context and review status. Your team confirms applicability and the action needed.
See regulatory tracking, metering, training and certification tracking, and the full review workflow in a product demo.
One compliance purpose
The tools to support a defensible governance process.
Service mapping, oversight, controls and review records work together to support AI governance and risk management. Connect each requirement to the work it governs, the owner responsible and the evidence available.
Regulatory ingestion & tracking
Bring configured regulatory sources into a shared library. Track source documents, versions and extracted obligations as inputs to your governance process.
Which obligations need attention?Automatic obligation tracking
Use automated obligation extraction and profile-based requirement matching to organize the work. Review applicability and assign responsibility in your organizational context.
What applies to our AI services?Service boundaries
Map people, applications, AI activity and data movements. Make the dependencies on external systems and model providers visible.
Where does AI act?Ownership & human oversight
Identify accountable owners, human decisions and escalation points in the service flow. Give reviewers the context to discuss who intervenes and when.
Who owns the next decision?Training & certification tracking
Track training completion and certification status for the people doing the work. Keep learning records visible alongside governance responsibilities and supporting evidence.
Who is trained, and what needs follow-up?Controls & evidence
Connect controls and data classifications to the service. Bring evidence references into review packets so teams can examine the basis for a decision.
What supports this review?A reviewable service record
Retain reviewed service snapshots with version context, reviewer details and comments. Give the next review a clear starting point.
What changed since the last review?Metering & operational context
Bring metered usage and cost allocation into the service context. Connect recorded activity to the teams and business units responsible, alongside controls and review evidence.
What is happening in operation?AI Governance Health Check
Start with a clearer view of your gaps.
Assess your current governance practices and use the results to focus your next conversation.
Take the governance health check- Immediate on-screen results
- Priority governance and operating gaps
- Downloadable PDF with a 30/60/90 day roadmap
A planning aid for your team. The assessment does not certify compliance.
AI Governance & Regulations
Know what your next review needs.
Practical guides for scoping obligations and connecting them to operating records. Dated official sources, clear legal status and product limitations.
European Union · Enacted law
All governance resources EU AI Act: from obligations to service records
Provider and deployer roles, the amended timetable, transparency and human oversight.
Read the EU guide United States · Law and guidanceUS AI governance: scope the decision first
California, Colorado, Texas, FTC enforcement and the voluntary NIST AI RMF.
Read the US guide Healthcare · US and EUMedical AI: clinical responsibility and product requirements
Device boundaries, clinical decision support, health data and change control.
Read the medical AI guideSee Liquid Learn in context
Request a product demo
Bring an AI-enabled service you need to govern. We can walk through its boundaries, owners, controls and review record together, including how you track your team’s training and certifications.
Enquiries are reviewed by Fluid Business in Seattle, Washington.
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