I use AI deliberately and responsibly to support clarity, trust, and sound decision-making. AI is a support tool, not a substitute for my professional judgment, lived experience, or accountability to clients.
My approach reflects best practices, including ethical practice, transparency, accuracy, and responsibility to the public interest.
AI helps reduce noise and decision fatigue.
I use AI to:
I do not use AI to increase content volume, create false certainty, or obscure trade-offs. When uncertainty exists, I name it clearly so leaders can decide with their eyes open.
Communication is human work.
AI may support background work or early drafts, but listening, judgment, and relationship-building remain human-led. My work is shaped by organizational context, system realities, and the real pressures leaders and teams face.
I do not outsource empathy, credibility, or trust to tools.
Good communication requires judgment, not automation.
AI does not make decisions for clients. It does not replace professional advice. It does not offer convenient answers when harder conversations are required.
I use AI to pressure-test thinking and surface risk, not to avoid responsibility.
Trust depends on ownership.
All strategies, recommendations, and deliverables are reviewed, refined, and owned by me. AI-supported work is edited for accuracy, tone, and alignment with organizational values and governance expectations.
Clients are paying for senior-level thinking and stewardship, not automated output.
Impact matters more than efficiency.
AI systems can reinforce bias, flatten complexity, or miss human consequences. I actively review AI-supported work for unintended harm, exclusion, or misalignment with the people affected by decisions.
If an output could weaken trust or increase risk, it is not used.
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