Understand
Learn the people, workflows, software, institutional knowledge, constraints, and actual problem.
About Amanda Wion
A hands-on AI strategist, trainer, and business advisor.
I founded AKW AI Consulting to help businesses make sense of a technology that is changing faster than most organizations can realistically absorb. My work sits between frontier AI capability and everyday business use: understanding what new systems can do, testing them against real problems, and translating what proves useful into training, workflows, systems, and strategy.
My background spans AI implementation, go-to-market strategy, business development, and early-stage operations across enterprise software, consumer startups, professional services, and founder-led companies. That business context matters. AI is only useful when it fits the people, decisions, knowledge, and work already inside an organization.
I am a dual U.S.–Swiss citizen, fluent in French, and experienced in helping international companies position and expand in the U.S. market. I graduated from UCLA with a bachelor's degree in Global Studies.
Background
A business career that precedes the AI work.
Before consulting on AI, I spent years inside real businesses: building, selling, operating, and scaling. That experience is why the work never starts from the technology.
Cross-industry experience
Enterprise software, consumer startups, professional services, and founder-led companies across AI implementation, go-to-market strategy, business development, and early-stage operations.
UCLA, Global Studies
Bachelor's degree from UCLA in Global Studies, grounding the work in international context, research, and cross-cultural understanding.
Dual U.S.–Swiss citizen
Fluent in French. Experienced in helping international companies position, operate, and expand in the U.S. market.
How I learned AI
Discovery, not doctrine.
My expertise in AI has been built through years of intensive, hands-on experimentation with rapidly evolving models and platforms. Rather than learning one system or following a fixed methodology, I continuously test, compare, challenge, and apply new capabilities to understand how these tools actually behave.
That discovery-based approach has developed into an ability to quickly recognize patterns across AI systems, determine which tools and approaches fit a problem, and translate emerging capabilities into practical business applications.
AI changes too quickly for expertise to remain static. My work is built around learning with the technology as it evolves, then turning that understanding into systems, strategies, and training that make sense to the people actually using it.
Explore → Test → Compare → Observe → Adjust → Retest → Apply
A power user, not an observer.
How I work
Understand. Experiment. Translate. Apply.
Experiment
Test capabilities across models and tools before assuming what the solution should be.
Translate
Turn technical possibility into something the organization can understand and use.
Apply
Build the workflow, system, training, or strategy that proves useful in real work.
Frontier AI capability↔Actual business need
Technical possibility↔Human understanding
AI experimentation↔Repeatable workflow
Start with the problem, not the platform.
Tell me where work is repetitive, confusing, slow, or difficult to scale. We’ll figure out whether AI belongs there and what the next step should be.