A common system record
Capture intended use, business ownership, data dependencies, vendors, and lifecycle stage in a consistent structure.
PRODUCTS / ATLAS
Bring models, applications, agents, and third-party AI into a shared view—with the context to decide what happens next.
A SCOPED BLUE LOTUS OFFERING
WHAT IT MAKES POSSIBLE
Shape the approach around your use case, available evidence, and operating environment.
Capture intended use, business ownership, data dependencies, vendors, and lifecycle stage in a consistent structure.
Assess impact in the context of the people affected and the decisions the system supports.
Design registration and review workflows for the teams introducing AI into your organization.
Map relationships between models, applications, data sources, and agents so changes can be reviewed in context.
FROM CAPABILITY TO OUTPUT
The final scope is agreed at the start. An engagement can include:
THE PATH FORWARD
Understand your starting point and agree on the decision this work needs to support.
Develop the assessment, structure, or workflow in collaboration with the relevant teams.
Review the outputs, document limitations, and agree on the next practical steps.
A FEW USEFUL DETAILS
Yes. An initial inventory can begin with existing documents and interviews. The structure and workflow can later be implemented in the tools that suit your organization.
Discovery methods are scoped to your environment. Repository reviews, system surveys, and available integrations can support discovery; universal automatic coverage is not assumed.
Internal models, third-party tools, generative AI applications, embedded AI features, and agents can all be represented with the relevant context.
KEEP EXPLORING
Evaluation & assurance
Examine AI behavior through the lens of your use case. Turn testing into evidence your teams can act on.
Explore PrismGovernance & controls
Connect policies, responsibilities, review gates, and evidence into a governance approach your organization can use.
Explore CompassMonitoring & response
Design the signals, review loops, and response paths that help teams stay accountable as AI systems change.
Explore SignalLET’S BUILD WHAT COMES NEXT
Bring your questions. We’ll help shape the path forward.
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