If you are a Data Protection Officer or Compliance Lead at a Brazilian enterprise in a regulated sector, this playbook was built for you.
Operating under the Lei Geral de Proteção de Dados (LGPD) while navigating the evolving oversight of artificial intelligence by the Agência Nacional de Proteção de Dados (ANPD) presents a complex and high-stakes challenge. You are responsible for ensuring that AI systems processing personal data comply with principles of transparency, accountability, and individual rights, all while preparing for audits and enforcement actions. The ANPD's Mapa de Temas Prioritários 2026, 2027 has made clear that AI-driven decision-making is a top regulatory focus, increasing scrutiny on algorithmic bias, data subject access, and risk assessment rigor. Without a structured, up-to-date framework, your team risks noncompliance, reputational damage, and financial penalties.
Engaging an external Big-4 consultancy to develop a tailored LGPD and AI compliance framework can cost between EUR 80,000 and EUR 250,000. Alternatively, dedicating an internal team of 3 full-time compliance professionals for 4 to 6 months to build the necessary assessments, templates, and evidence trails requires significant opportunity cost and delays time to compliance. This playbook delivers the same depth of structure and regulatory alignment for a one-time cost of $395.
What you get
| Phase | File Type | Description | File Count |
| Assessment | Domain Assessment | 30-question evaluation covering one of seven core LGPD and ANPD AI governance domains, with scoring guidance and risk tiering | 7 |
| Evidence Collection | Runbook | Step-by-step guide for gathering and organizing evidence across all seven domains, aligned with ANPD audit expectations | 1 |
| Audit Preparation | Playbook | Comprehensive audit readiness guide including mock audit scenarios, document checklist, and response protocols | 1 |
| Governance | RACI Template | Pre-built responsibility assignment matrix for LGPD and AI compliance roles across legal, IT, data science, and operations | 1 |
| Project Management | WBS Template | Work breakdown structure template with 12 phases, 86 tasks, and milestone tracking for full implementation | 1 |
| Cross-Reference | Cross-Framework Mappings | Detailed mapping of all assessment questions and controls to LGPD articles and ANPD Mapa de Temas Prioritários 2026, 2027 | 1 |
| Risk Assessment | Sample Chapter | 30-question AI Data Processing Risk Assessment aligned with LGPD Article 20 and ANPD Mapa de Temas Prioritários | 1 |
| Total | 64 files |
Domain assessments
1. Lawful Basis and Purpose Limitation: Evaluates whether AI systems have a valid legal basis under LGPD Article 7 and whether data processing purposes are clearly defined, documented, and limited.
2. Transparency and Explainability: Assesses the organization's ability to provide meaningful information about AI-driven decisions to data subjects, in line with LGPD Articles 9 and 19.
3. Data Subject Rights Enforcement: Reviews processes for handling data subject requests (access, correction, deletion) in the context of AI systems, including model retraining and data lineage.
4. Algorithmic Bias and Fairness: Measures controls for identifying, monitoring, and mitigating bias in training data, model outputs, and decision logic.
5. Data Protection Impact Assessment (DPIA): Validates the completeness and quality of DPIAs for high-risk AI processing, per LGPD Article 20 and ANPD guidance.
6. Security and Data Minimization: Tests adherence to data minimization principles and technical safeguards for personal data used in AI workflows.
7. Third-Party and Vendor Oversight: Examines due diligence and contractual obligations for third-party AI providers processing personal data on behalf of the organization.
What this saves you
| Activity | Time with Playbook | Time without Playbook | Time Saved |
| Developing domain assessments | Download and customize | 80, 120 hours | 80, 120 hours |
| Creating evidence collection procedures | Follow runbook | 60, 90 hours | 60, 90 hours |
| Preparing for ANPD audit | Use audit prep playbook | 100, 150 hours | 100, 150 hours |
| Assigning compliance responsibilities | Customize RACI template | 20, 30 hours | 20, 30 hours |
| Mapping controls to LGPD and ANPD | Use cross-framework mappings | 40, 60 hours | 40, 60 hours |
| Total estimated time saved | 300, 450 hours |
Who this is for
- Data Protection Officers (DPOs) in Brazilian financial institutions required to demonstrate LGPD compliance in automated credit scoring systems
- Compliance managers in healthcare providers using AI for patient risk stratification and treatment recommendations
- Legal and privacy leads in technology companies developing AI-powered customer analytics platforms
- IT governance teams in large enterprises implementing AI chatbots that process personal data
- Risk officers in organizations undergoing ANPD audits or preparing for upcoming inspections
- Project managers leading cross-functional LGPD and AI compliance initiatives
- Internal auditors validating adherence to ANPD's Mapa de Temas Prioritários in AI use cases
Cross-framework mappings
This playbook maps to the following regulatory frameworks and guidance documents:
- Lei Geral de Proteção de Dados (LGPD), including Articles 6, 7, 9, 19, and 20
- ANPD Mapa de Temas Prioritários 2026, 2027, with focus on AI governance, transparency, and risk assessment
- ANPD's Guidelines on Data Protection Impact Assessments (DPIA)
- ANPD's Recommendations on Automated Decision-Making Systems
- Brazilian Civil Rights Framework for the Internet (Marco Civil da Internet), where applicable to data processing
- ISO/IEC 27701:2019 for privacy information management (contextual alignment)
- OECD Principles on AI (as referenced in ANPD policy documents)
What is NOT in this product
- This is not a software tool or SaaS platform. It does not include automated scanning, AI model monitoring, or real-time compliance alerts
- It does not provide legal advice or replace consultation with a qualified Brazilian data protection attorney
- No implementation services, training sessions, or consulting hours are included
- The playbook does not cover non-LGPD data regulations outside Brazil, such as GDPR or CCPA
- It does not include pre-filled responses or organization-specific risk assessments
- There are no integration capabilities with GRC platforms, data catalogs, or AI development environments
- This is not a certification or attestation of compliance
Lifetime access and satisfaction guarantee
You receive lifetime access to the LGPD and ANPD AI Compliance Playbook with a one-time payment. There is no subscription, no login portal, and no recurring fees. All files are delivered in standard document formats for immediate use. If this playbook does not save your team at least 100 hours of manual compliance work, email us for a full refund. No questions, no friction.
About the seller
The creator has 25 years of experience in regulatory compliance and governance frameworks, with deep expertise in data protection laws across Latin America. They have analyzed 692 regulatory and industry frameworks and built 819,000+ cross-framework mappings to support structured compliance. Their tools are used by 40,000+ practitioners in 160 countries, including compliance officers, auditors, and legal teams in highly regulated sectors.
