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Explore Piscys' AI Assurance Platform
At Piscys, we enable organizations to effectively harness the power of AI while maintaining a commitment to responsible practices.
Piscys is building an independent runtime governance layer for high-risk AI systems. The planned platform combines justification-grade provenance, proportional intervention, authority-as-code, and control-health metrics to help enterprises govern consequential AI actions while producing board-grade evidence. The architecture is being designed for model-, cloud-, and workflow-agnostic integration through APIs, connectors, and evidence exports.
Together, these components are designed to form a closed governance loop around consequential AI workflows.
Provenance Engine
Designed to create replayable records of AI context, evidence, lineage, constraints, and justification.
Intervention Engine
Designed to apply proportional safeguards when defined risk or justification thresholds are crossed.
Custody Engine
Designed to implement authority-as-code — defining who may set constraints, approve overrides, escalate decisions, and accept residual risk for consequential AI workflows.
Constraint Polyphony
Designed to evaluate consequential AI actions across multiple governance constraints simultaneously, surfacing conflicts that may require intervention, escalation, or accountable human judgment.
AI Trust Metrics & Assurance Dashboard
Designed to translate runtime governance activity into control-health indicators, executive visibility, and board-grade evidence.
Framework Mapping
Designed to map controls and evidence expectations to frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and applicable requirements. Piscys supports implementation; it does not certify compliance.
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Engage Piscys on High-Risk AI Governance
As AI systems move from experimentation to regulated deployment, assurance is no longer optional — it becomes infrastructure. Piscys is built for organizations deploying AI in environments where failure is not an option.
Start with executive alignment, assess the control gap, then translate findings into an actionable governance design. Each engagement is scoped to the organization, workflow, and risk environment.
Executive Briefing
A focused 90-minute session for senior leaders examining how runtime governance applies to consequential AI workflows, emerging accountability requirements, and the organization’s current control posture.
Rapid Risk Assessment
A four-week control-gap and evidence-maturity assessment that maps a selected high-risk AI workflow against applicable governance requirements and produces board-ready findings.
Rapid Implementation Sprint
A focused implementation engagement that translates identified gaps into workflow-specific control designs, intervention playbooks, authority maps, and evidence-export requirements.