Financial Services & Healthcare
Governance where consequences matter
Explore control and evidence questions in Piscys’ initial focus industries, with equal attention to financial services and healthcare.
Different workflows and obligations. A shared need for bounded authority, qualified review, and defensible decisions.
01 / Financial Services
Trace the Decision. Define the Authority.
Connect institution-level risk concerns with the evidence and human review needed inside a consequential financial workflow.
AI Risk in The Financial System
The latest survey records a substantial increase in financial-sector respondents identifying AI as a source of systemic risk.
Use the findings to sharpen board-level questions about control gaps and ownership. These are risk perceptions, not measured incident rates.
Read original →Evidence-Grounded AML Analysis
A synthetic anti-money-laundering example linking findings to evidence, validating calculations, and routing work for qualified review.
Separate analysis, authorization to draft, and filing decisions. Demonstration rules are not regulatory thresholds or proof of production compliance.
Read original →02 / Healthcare
Preserve Evidence Through Change
Consider policy provenance, review routing, and controlled changes while keeping clinical, payer, and device contexts distinct.
Prior Authorization As an Evidence and Accountability Workflow
CMS requires impacted payers to strengthen prior authorization processes, including faster decisions, denial reasons, public metrics, and new FHIR-based APIs.
Faster authorization requires more than faster processing. Organizations should govern policy provenance, decision authority, supporting evidence, and exception handling.
Read original →Prior Authorization Controls Face an Expanding Regulatory Scope
CMS proposes extending electronic prior authorization requirements to drugs, alongside updated standards, decision timeframes, and API reporting requirements.
As authorization scope expands, enterprises should preserve consistent policy retrieval, review authority, evidence retention, and exception handling across changing workflows.
Read original →Evidence and Review in Prior Authorization
An example connecting policy retrieval, supporting evidence, citation validation, and review routing using the Agents SDK and Amazon Bedrock AgentCore.
Inspect who controls policy versions and review routing. The example uses a synthetic member and sample payer.
Read original →Change Control for AI-Enabled Medical Devices
Recommendations for describing planned device changes, methods for developing and validating them, and their potential impact.
Know which changes are within the authorized plan and what evidence supports them. Scope is applicable AI-enabled devices, not all healthcare AI.
Read original →Continue Exploring
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From Insight to Action
Start with One Consequential Workflow
Discuss where AI influences decisions in your environment, who owns the outcome, and what evidence would support responsible deployment.
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