The agent creates a structured outline of required evidence classes, register entries, risk records, and incident records for an AI delivery change, aligned to AI-Controlled Delivery standards.
The agent determines the specific AI delivery change context and the relevant compliance framework (AI-Controlled Delivery). It queries the compliance MCP to get the overlay rules and enforcement decisions. The agent then synthesizes this into an evidence pack outline, listing the necessary evidence classes, register entries, risk records, and incident records. It ensures all items are cited to the source standards and includes the enforcement decision. The user should review the outline to ensure it matches the scope of the change.
- Category: Software development
- Effect: Read-only
- MCP servers: AppGenie Compliance MCP (https://koskamo.com/explore/appgenie-compliance-mcp)
- Source: Compliance MCP for AI Assistants | AppGenie (https://appgenie.com.au/compliance-mcp)
- Source quote: "The assistant returns an evidence pack outline with the required evidence classes, register entries, risk records and incident records, plus the enforcement decision."
- Playbook page: https://koskamo.com/explore/use-cases/generate-ai-delivery-evidence-pack-outline
Prompt: What evidence pack do I need for this AI delivery change to align to AI-Controlled Delivery? The assistant returns an evidence pack outline with the required evidence classes, register entries, risk records and incident records, plus the enforcement decision.