Data privacy
Understand what information a tool collects, where it goes, and who can access it.
TRUST & RESPONSIBLE AI
Useful AI should make work easier—not introduce risks nobody understands. We put people, privacy, and practical safeguards first.
Talk Through Your QuestionsOUR PRINCIPLES
Four commitments that guide how we evaluate and implement AI solutions.
Understand what information a tool collects, where it goes, and who can access it.
Keep important decisions and customer-facing work under meaningful human review.
Use access controls, approved tools, and clear operating procedures appropriate to the risk.
Explain tradeoffs, ongoing costs, limitations, and responsibilities in plain language.
HOW WE ASSESS RISK
We review the data involved, potential mistakes, access requirements, and who needs to approve outputs before recommending an implementation.
OUR REFERENCE POINTS
We use risk-management concepts from sources such as the NIST AI Risk Management Framework to inform our approach. This is not a claim of certification, accreditation, or independent audit.
A useful foundation for governing, mapping, measuring, and managing AI risks.
Explore NIST guidance ↗STRAIGHT ANSWERS
Before you adopt a new AI tool, you should understand what happens to your data and what can go wrong.
That depends on the vendor, product tier, settings, and agreement. We help evaluate these details before adoption rather than assuming every tool behaves the same way.
Yes. We recommend verification, bounded use cases, and human approval for consequential outputs.
We do not claim either certification. We distinguish our advisory practices and framework references from independently audited compliance.
Yes. We can help develop practical usage guidelines and coordinate with your legal, security, or compliance professionals where specialist review is needed.
Bring your questions. We'll start with a conversation about your business.
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