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Agile Compliance Framework – PDF
PDF document 25 Pages
BENEFITS OF THIS DOWNLOADABLE PDF DOCUMENT
- Provides a practical framework for integrating AI compliance activities into agile development sprints.
- Helps teams translate AI Act, GDPR, ISO 42001, and risk management expectations into operational product governance steps.
- Clarifies responsibilities across product, engineering, compliance, privacy, legal, QA, and management roles.
AGILE PDF DESCRIPTION
Agile Compliance Framework is a practical guide for teams developing, deploying, or governing AI systems in fast-moving product environments. It is designed for organizations that use agile methods but need to integrate legal, ethical, and governance requirements into the development lifecycle before risks become embedded in the product.
The framework explains why traditional end-stage compliance reviews are often insufficient for AI. AI systems are not static software products: they depend on data, models, monitoring, retraining, human oversight, documentation, and continuous risk review. This document translates that reality into an operational approach: compliance by design and compliance by sprint.
The document covers the relationship between agile development and compliance, the main points of friction between fast iteration and regulatory accountability, and the specific challenges raised by AI systems. It addresses topics such as AI Act obligations, GDPR-related considerations, ISO 42001 management system logic, NIST AI RMF-style assessment thinking, impact assessments, model transparency, performance monitoring, data governance, model change management, documentation, and release controls.
A key value of the framework is its practical structure. It shows what a single compliant AI iteration can look like, including sprint planning, development, testing and review, retrospective learning, continuous documentation, and release gating. It also includes role and responsibility mapping for product owners, AI engineers, agile compliance officers, DPOs, QA teams, legal teams, and management. The included RACI-style logic helps organizations clarify accountability and avoid unclear ownership.
This framework is especially useful for AI startups, product teams, legal and compliance functions, consultants, and organizations trying to move from abstract compliance principles to concrete operating practices. It can support internal training, workshop design, compliance program planning, product governance discussions, and early-stage AI governance implementation.
This document is intended for internal business, advisory, and educational use by the purchasing organization. It may be adapted for internal use, but it should not be resold, redistributed, sublicensed, or published as a standalone product or template package.
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Source: Best Practices in Agile, Compliance PDF: Agile Compliance Framework PDF (PDF) Document, Zavisic Consulting
ABOUT THE AUTHOR
ISO 42001 Lead Implementer certified consultant in AI governance, risk, and compliance, with expertise in the EU AI Act, GDPR, ISO/IEC 42001, and applied AI ethics. Focused on translating regulatory requirements into operational governance structures, compliance workflows, documentation, and product architecture for AI systems. Background spans law, software development, and AI evaluation, ... [read more]
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