BCE Enterprise AI Assurance & Governance Review by BizCloud Experts

A no-cost, structured evaluation to build trust, control risk, and prepare for enterprise AI scale.

Before scaling AI across your organization, it’s essential to understand your risk, governance, and compliance landscape across your AWS AI environment, including services such as Amazon Bedrock and Amazon SageMaker.

Our AI Assurance & Governance Assessment provides a comprehensive, no-cost evaluation of your current AI readiness, governance maturity, and regulatory posture. You’ll receive a clear red/yellow/green scorecard, an executive-level summary of findings, a detailed gap analysis across security, data management, compliance, and operational risk, and prioritized recommendations to strengthen your foundation.

We also highlight AWS funding pathways to help offset implementation costs. This assessment ensures your AI initiatives move forward safely, responsibly, and sustainably—building confidence across leadership, technical teams, and key stakeholders.

The assessment evaluates governance and risk controls across AWS AI/ML services, including Amazon Bedrock and Amazon SageMaker, and examines supporting AWS security and compliance services such as AWS IAM, AWS Config, and AWS CloudTrail. In addition to evaluating policies and controls, the assessment examines your data quality, lineage, and access patterns to determine whether your environment can support high-trust AI systems.

You’ll gain visibility into where sensitive data resides, how models interact with enterprise systems, and what safeguards are needed to prevent misuse or unintended behavior.

You’ll receive a future-state governance blueprint outlining recommended frameworks, oversight models, and escalation paths aligned with industry and regulatory standards. Our team also provides best practices for responsible AI, including bias detection, model lifecycle management, and human-in-the-loop controls.

By the end of the assessment, your organization will have a clear, actionable roadmap to mitigate risk, accelerate compliance, and build a trusted operational foundation that supports enterprise-scale AI adoption with confidence.

• Red/yellow/green scorecard
• Executive summary (2–3 pages)
• Compliance and risk gap analysis
• Recommendations + AWS funding pathways

Comprehensive Governance Assessment Evaluate your AI governance maturity across strategy, operations, risk management, and compliance. Our assessment identifies strengths to build on and gaps to address before scaling across the enterprise. Compliance & Risk Gap Analysis Detailed analysis of your current compliance posture relative to industry standards and regulatory requirements. Understand exactly where your AI initiatives align with or diverge from compliance expectations. Red/Yellow/Green Scorecard Clear, visual assessment of your readiness across key governance dimensions. Leadership can quickly see where you stand and what areas need immediate attention versus longer-term improvement. Executive Summary Report 2–3 page executive summary formatted for leadership and board-level communication. Get stakeholders aligned on governance readiness and next steps without overwhelming detail. Prioritized Recommendations Actionable, prioritized recommendations for improving governance, compliance, and risk management. You'll know exactly what to tackle first and why each improvement matters. AWS Funding Pathways Discover AWS funding opportunities and cost-reduction strategies to offset your AI governance and compliance improvements. We identify programs and incentives you may qualify for. Risk & Security Review Assessment of security practices, data governance, model governance, and operational risk management. Ensure your AI deployments protect data, maintain compliance, and operate reliably. Foundation for Safe Scaling Establish governance foundations that support confident, compliant scaling of AI across teams and use cases. Your roadmap ensures future deployments move faster because governance is already in place.