AI Governance by Escala 24x7

AI Governance by Escala 24x7 is a professional services advisory offering that helps organizations establish a comprehensive AI Governance model to enable the secure, ethical, and compliant adoption of Artificial Intelligence at enterprise scale. The solution is designed for mid-market and enterprise organizations adopting Generative AI, agentic systems, RAG architectures, and traditional Machine Learning, with particular relevance in regulated industries such as Financial Services, Insurance, Healthcare, and Public Sector, where compliance with international standards and local regulation is mandatory. The offering covers a 16-week structured advisory engagement organized in 6 sequential phases:

• Phase 1 (Diagnosis): AI maturity assessment, AI model inventory, risk mapping, gap analysis
• Phase 2 (Governance Design): 12-domain framework, organizational model (AI Governance Committee, AI Ethics Committee, RACI matrix), initiative prioritization model, KPI catalog
• Phase 3 (Policy Definition): 7 formal policies (responsible AI use, ethics and algorithmic transparency, data management for AI, model security, model lifecycle, AI data protection, AI standardization)
• Phase 4 (AI Architecture): reference architecture on AWS for ML, GenAI, RAG and Agentic AI, with hands-on workshops on AgentCore, Amazon Quick, KIRO and SageMaker Unified Studio
• Phase 5 (Model Implementation): governance processes, SOPs, controls, committee activation, KPI dashboards, audit model, team training and knowledge transfer
• Phase 6 (Roadmap): 12-24 month adoption plan, quick wins, future maturity plan Deliverables include 31 formal artifacts (E1-E31) covering diagnosis reports, framework documents, policy documents, reference architectures, SOPs, audit templates, KPI dashboards, training materials, and adoption roadmap. The engagement is executed by a 4-profile team (Project Manager, AI Governance Lead, Cloud AI Architect, Cloud Data Governance Specialist). The reference architecture is built on AWS-native services: Amazon Bedrock AgentCore (Runtime, Gateway, Identity, Observability, Memory, Evaluations), Amazon Bedrock (Foundation Models, Guardrails, Knowledge Bases), Strands Agents SDK, KIRO IDE (Steering Files and Hooks for development-time governance), Amazon Quick, and Amazon SageMaker Unified Studio (data governance, lineage, MLOps). Key value for customers:
• Comprehensive AI Governance framework aligned with NIST AI RMF, ISO/IEC 42001, and EU AI Act
• Risk-based AI governance with Model Risk Management (MRM) and Three Lines of Defense
• Responsible AI principles operationalized through formal policies and audit controls
• AWS-native reference architecture covering ML, GenAI, RAG, and Agentic AI patterns
• Governance from day one through KIRO Steering Files, Bedrock Guardrails, and AgentCore Policy
• Regulatory compliance assurance through compliance matrices mapping each requirement to controls
• Audit and validation framework with classification by risk tier (Tier 1/2/3)
• Sustainable adoption through committee activation, team training, and knowledge transfer