24 docs tagged with "scope:enterprise"

Integrated change management system for enterprise agent prompts, models, deployment strategies, and governance

AIDLC integration guide for 4 frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, and Korea AI Basic Act

Illustrative financial, manufacturing, public-sector, and fintech scenarios for planning AIDLC adoption and harness validation

AIDLC Enterprise Adoption — Organizational transformation, cost estimation, governance, and case studies

Quantifying AIDLC Cost Effectiveness — RFP Estimation Model, Ontology/Harness ROI, Open Weight TCO Comparison

Progressive model replacement strategies and Feature Flag-based prompt rollout approaches

AIDLC Enterprise Adoption Strategy — Waterfall→Hybrid Transition, Champion Model, Phased Rollout Roadmap

EU AI Act risk classification, High-risk AI obligations, GPAI provider duties, and AIDLC integration guide

AWS Labs AIDLC Extension System — integrate organization-specific security, compliance, and domain rules into AIDLC workflows via opt-in mechanism

Regression detection, automatic rollback, approval workflows, audit trails, and AIDLC stage-specific application approaches

AIDLC Enterprise Governance — 3-Layer Model, Steering File Automation, Data Sovereignty, AI Act Compliance

Required harnesses and implementation guide by MSA pattern

ISO/IEC 42001:2023 AI Management System PDCA structure, Annex A Controls, certification process, and AIDLC integration guide

Korea AI Basic Act's high-impact AI impact assessment, generative AI labeling obligations, PIPA/ISMS-P cross-compliance, and AIDLC integration guide

Application guide for Level 1 simple CRUD services and Level 2 synchronous MSA orchestration patterns

Application guide for Level 3 async event-driven MSA and Level 4 Saga + compensating transaction patterns

Application guide for Level 5 distributed transactions + CQRS + Event Sourcing patterns

Diagnose MSA difficulty as Level 1-5 in enterprise environments and provide integrated pattern-specific guides, harnesses, and verification

AI RMF 1.0, the Generative AI Profile, accurate Core mappings, policy history, and practical AIDLC records

Ontology depth and writing guidelines by MSA complexity level

Comparison and implementation guide for Langfuse, PromptLayer, Braintrust, AWS Bedrock Prompt Management

Practical implementation guide and phased adoption roadmap for integrating regulatory requirements into AIDLC process

Team Structure and Role Changes in the AIDLC Era — Harness Engineer, Ontology Steward, AI Verifier

Verification methods to ensure quality when applying AIDLC in complex MSA