AI Readiness and Risk Assessment
Most organizations in regulated industries know that AI can improve efficiency and reduce costs. But between employees using AI tools informally, unclear internal policies, and a regulatory landscape that’s shifting at both the federal and state level, it’s hard to know where to start. It’s even harder to know how much risk already exists within the organization today.
SunHawk’s AI Readiness and Risk Assessment provides a structured path from uncertainty to a clear plan of action. We assess your organization’s current state, identify what’s already happening with AI across your teams, evaluate the risks in detail, and deliver documentation your compliance team and leadership can actually use.
This engagement is designed as the natural starting point for any organization considering AI adoption. It also serves organizations that have already begun using AI tools and need a formal assessment of the risks and governance gaps that may have been introduced along the way.
The Assessment Process
Understanding your organization. We begin by mapping how your organization actually operates: what services you provide, what data you handle, where sensitive information lives, and what regulatory frameworks apply to your operations. This is the foundation that every recommendation builds on. Without it, any AI strategy is guesswork.
Assessing current AI usage. We investigate what’s already happening with AI across the organization. Has AI been formally adopted, informally tolerated, or banned? Are employees using third-party tools on their own? Are there AI features enabled in existing vendor platforms that no one is actively monitoring? We document the full picture before making any recommendations.
Interviewing staff across departments. We speak directly with employees across the organization to understand their daily workflows, their pain points, and their readiness for change. This is where we identify the highest-value opportunities for AI and develop a realistic understanding of what adoption will actually look like on the ground. The best AI strategy in the world doesn’t work if the people doing the work aren’t part of the conversation.
Conducting the risk assessment. This is the core of the engagement. For every identified AI use case, whether it’s something already in practice or something being proposed, we evaluate risk through four critical lenses: Risk Tiering, Use-case Mapping, Pre-deployment Validation, and Regulatory Alignment.
Recommending mitigation strategies. Based on the risk assessment, we recommend specific controls for each use case. This includes human-in-the-loop workflows with clear escalation paths, input screening and output validation processes, continuous monitoring with baseline testing, automated alerts for model drift, and scheduled re-evaluation cycles. Each recommendation is matched to the risk level and the operational context of the use case.
Recommending a deployment path. Based on the sensitivity of your data, your existing infrastructure, and your budget, we recommend the right deployment approach for each use case. Lower-risk applications may be well served by third-party AI providers with appropriate safeguards. Higher-risk use cases, particularly those involving PHI or other protected data, may call for private cloud or fully on-premises deployment where the organization maintains complete control.
What You Recieve
AI Readiness Assessment
A complete picture of where your organization stands today. This covers current AI usage across the organization, employee readiness and adoption patterns, workflow opportunities with the strongest case for AI, and the full risk assessment findings across every identified use case.
AI Governance Framework
A governance policy and acceptable use framework tailored to your specific regulatory environment. This is designed to be something your compliance team and leadership can adopt and put into practice, not a theoretical document that sits on a shelf. It includes acceptable use policies, risk classification guidelines, and the decision-making framework for evaluating new AI tools and use cases going forward.
Prioritized Roadmap
A clear, prioritized plan for what to do next. Which use cases to pursue first, what controls need to be in place before they go live, what deployment approach fits each one, and what timeline is realistic. This roadmap gives leadership and the compliance team a shared reference point for moving forward.
Beyond the Assessment
Once you have a strategy and governance framework in place, SunHawk can help you execute. Our Private AI Infrastructure practice handles the full deployment stack for self-hosted AI, and our Custom AI Applications practice builds purpose-built tools for specific compliance and operational workflows. The assessment is designed to feed directly into these engagements so there’s no gap between planning and implementation.
Testimonials
Get In Touch
SunHawk Consulting
2550 E Rose Garden Ln.
Unit 72016
Phoenix, AZ 85050
info@sunhawkconsulting.com
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