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CLEAR-AI Framework

Your employees are already using AI — and your data is leaving the building.

I help SMBs uncover shadow AI usage, quantify data exposure, and implement practical governance you can actually run.

Midwest-based, SMB-focused  •  25+ years enterprise IT leadership

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AI is already inside your organization.

Most SMBs have limited visibility into how AI tools are being used day-to-day. The risk isn't theoretical — it's people copying and pasting sensitive data into tools you don't control.

What that typically looks like:

  • Personal AI accounts used for work tasks
  • Files uploaded to "free" tools with unclear retention and training policies
  • Browser extensions quietly collecting data
  • AI features auto-enabled in SaaS platforms
78%
of employees use AI tools at work without IT or leadership approval
65%
of organizations have no formal AI governance policy in place
$4.2M
average cost of a data breach linked to shadow IT and unmanaged tools
91%
of business leaders say AI risk management is a top priority this year

The CLEAR-AI Framework

CLEAR-AI: Continuous Look for Exposure, Adoption, and Risk in AI. A repeatable system for uncovering hidden AI usage and building sustainable governance.

What CLEAR-AI delivers:

  • A complete inventory of AI tool usage across the org
  • A map of where sensitive data is exposed
  • Guardrails, policies, and ongoing monitoring that keep pace with AI change
C-L-E-A-R Framework for Governing AI — flowchart showing the five-step process from Unknown AI Usage to Controlled AI Environment
The Iceberg Model — official AI tools visible above the waterline, shadow AI hidden below including personal accounts, SaaS AI features, and vendor integrations

What you see is only the tip.

You can usually see the tools you've officially approved. You rarely see personal accounts, embedded AI features, extensions, and ad-hoc workflows.

That's why CLEAR-AI exists: to turn the "unknown unknowns" into a measurable risk posture.

Services

Practical, no-hype AI governance designed for small and mid-size businesses. Every engagement starts with understanding your actual exposure.

AI Exposure Assessment

Deliverables

  • Organization-wide AI usage inventory
  • Data exposure risk map
  • Top 10 prioritized remediation actions

AI Governance Policy Development

Deliverables

  • Acceptable-use policy + prompt hygiene guidelines
  • Data handling rules (what can/can't be copied or uploaded)
  • Vendor assessment criteria you can reuse

Employee AI Training & Awareness

Deliverables

  • Training sessions (team-friendly, non-technical)
  • Role-based "dos and don'ts"
  • Practical examples and before/after workflows

Ongoing CLEAR-AI Monitoring

Deliverables

  • Periodic reassessments (quarterly/biannual)
  • Policy refresh updates
  • Emerging risk briefings and mitigation plans

AI Risk Advisory for Leadership

Deliverables

  • Board-ready reporting on AI exposure
  • Executive-friendly risk posture summary
  • 30/60/90 governance roadmap

Dan Blomquist

Dan Blomquist — Founder, Aegis AI Advisory

AI Risk & Governance Advisor

Founder, Aegis AI Advisory — Michigan

I bring 25+ years of enterprise technology leadership across IT, cybersecurity, and risk management. My approach is rooted in the realities of operations — not theoretical frameworks that don't survive contact with daily work.

Aegis AI Advisory works exclusively with small and mid-size businesses in the Midwest, providing enterprise-grade governance tuned for teams without large compliance departments.

Enterprise IT Leadership Cybersecurity Risk Management AI Governance NIST AI RMF SMB Specialist

Start with an Exposure Assessment

The first step is clarity. In weeks (not months), we identify your AI footprint, the data at risk, and the governance gaps — then we turn that into an action plan you can execute.

Get in Touch

Let's talk about your AI exposure

Whether you're just starting to think about AI governance or know you need help now, I'm happy to have a conversation.

Michigan, USA