Website development
Built and continue to improve this portfolio by combining my experience, decisions, editing, and direction with AI-assisted development.
AI & human judgment
Use the tool. Keep the responsibility.
I am strongly pro-AI. I am also strongly in favor of knowing what problem we are solving, protecting the information involved, reviewing the result, and keeping a human accountable for what happens next.
My philosophy
AI should expand human capacity, not outsource human responsibility.
AI can help people move faster, ask better questions, recognize patterns, organize complexity, and spend less time on repetitive work. That is real value.
But generating an answer is not the same as understanding the problem. AI does not know the employee, hear what the customer is not saying, carry the history of a client relationship, or own the consequences of a decision. People still have to bring context, judgment, ethics, empathy, and accountability to the work.
I do not want technology searching for a problem. I want a clearly understood problem, a definition of what better looks like, and the right tool for getting us there.
How I use it
Practical AI, applied to real work.
I am not an AI engineer. I am an operations and customer experience leader who has learned how to use AI thoughtfully to make complex work clearer, faster, and more repeatable.
Large datasets
Used AI to organize large volumes of information, surface trends and anomalies, and identify the questions that deserve a closer human look.
Recurring reporting
Designed automated reporting workflows that compile operational measures, summarize results, and help stakeholders see what needs attention.
Meetings and transcripts
Turned long conversations into decisions, action items, owners, open questions, and usable documentation.
Requirements and Jira tickets
Converted business needs and meeting context into clearer requirements, structured tickets, workflows, and delivery documentation.
Client and stakeholder updates
Used AI to clarify technical information, strengthen tone, check for omissions, and make communication easier to understand.
Communication without losing the person
Clearer language can build a stronger relationship.
At QuantumRhino, I worked with clients and partners for whom English was not their first language. AI helped me simplify technical explanations, reduce unnecessary jargon, and check whether a message could be understood the way I intended.
The tool supported the communication. I still reviewed every message, considered the person receiving it, and remained responsible for the relationship and the accuracy of what we said.
Responsible use
Useful is not enough. It also has to be safe and trustworthy.
Speed does not excuse carelessness. These are the boundaries I bring to AI-assisted work.
Protect the information
I do not enter sensitive customer, employee, client, or proprietary information into an unapproved public AI tool. The tool must be appropriate for the information involved.
Review the output
I review AI-assisted work before it is delivered or used. I check the facts, source material, tone, assumptions, calculations, and missing context.
Keep judgment human
Employment decisions, policy exceptions, sensitive customer resolutions, legal concerns, financial impact, and emotionally complex situations require accountable human judgment.
Own what happens next
AI can suggest, summarize, and analyze. It cannot take responsibility. If I use the output, I remain accountable for the decision and its impact.
How I measure value
I care about the outcome, not the percentage of work AI touched.
I would not decide that a certain percentage of contacts, tasks, or decisions should involve AI simply because the technology exists. I would start with contact trends, workflow friction, customer needs, risk, and the current baseline, then measure whether the change actually made the work better.
ResolutionDid it help solve the right problem?
Customer experienceDid CSAT and clarity improve?
Repeat contactsDid customers need less follow-up?
QualityWas the result accurate and consistent?
CapacityDid it return meaningful time to people?
RiskDid it protect privacy, trust, and judgment?
Still learning, on purpose
AI fluency is not a finished skill.
The technology is changing too quickly for anyone to declare the learning complete. I continue exploring what these tools can do, where they fall short, and how to use them in ways that are inventive, productive, secure, and worthy of people’s trust.