AI Ops & Strategy Consultant
If I said I wanted a career managing social media on my college applications, the response would likely be, “what’s a social media manager?” And yet, it was learning those new platforms that opened up so many doors usually closed for someone at my skill level, including creating social media curriculum and teaching it as a professor at 25.
AI feels a bit like that, because the problem I see is similar. Businesses realize there is something about AI that matters, but knowing what to do about it, and doing it well is the hard part.
What’s different is most businesses took a long time to notice the potential to reach customers with social media, but now I think the opposite is true. Everyone notices AI’s potential, but knowing what’s possible now versus later is where it gets a little fuzzy.
There isn’t a standardized right answer for how every business should use or not use AI. I’m pretty firm in my belief that unless you are an engineer working on these tools, no one is the expert in all things AI…yet, but I’d like to show why I am the right person to work on this problem.
If I’ve reached out to you …
Or you’re just interested in my work…
Production Data
Workflow Design and Documentation Experience
I build processes for absolutely everything. I approach objectives thinking about the steps along the way, the risks, the contingencies, and where I can reduce the amount of time on the work that I find most cumbersome.
Projects:
I began refining this skill back in college when I wrote a book, published a podcast, and spoke at events about student loan debt. I focused on keeping my peers from taking on too much debt by showing them a more efficient way to apply to scholarships. I taught them where to find scholarships and how to rank them based on effort, odds of winning, and reward amount. Then I provided them with a tool so they could store answers to common questions and get progressively faster at competing. I showed them how to spot fraud, and explained other levers they could pull to reduce debt, like living off campus or completing their general education credits at cheaper community colleges. I used this strategy to get $113,000 in scholarships.
As director of marketing for Mental Health Association Oklahoma, I saved the marketing department $24,000 shortly after starting by eliminating software that was too expensive for the job we needed it to do, so the ROI didn’t make sense when there were cheaper alternatives.
At Pragmatic Institute, I worked to transition the publication cadence from quarterly to monthly. I pulled data from Google on page visits and noticed quite a bit of traffic to old content. I explained that the problem was people visiting our website for the first time were sometimes walking in through our messy laundry room rather than a pretty foyer. So I implemented a strategy to clean up the old content while bringing it to the top of the feed to support our new publication workflow. The new strategy increased the traffic to resources on the website by 342%.
When we launched our brand voice attributes at K12 coalition, I built a custom GPT that used a tone of voice scale to help other people in the organization edit and refine their work with based on a brand tone rubric that gave recommendations based on the context.
Technical Application & Teaching
There will be a knowledge gap during implementation. I’ve worked as a technical writer in complex fields like financial regulation, tax law, immigration law, data science, data engineering, and cloud software. My specialty is making these complex fields more accessible so general audiences can understand and use the information.
I’ve worked on several projects involving building AI courses
Taught AI strategies to nonprofits through the United Way of Tulsa
Consulted on a new AI course for a local university
Began teaching tools to my business students in 2023.
Administration & Change Leadership
I believe the winners in AI will use it to make their teams better not their work cheaper. In the product space, we’re taught about pricing wars being a race to the bottom. Businesses that replace entire departments or roles with artificial intelligence are taking on a massive amount of risk. With the number of tools being built using the same system, companies are always one update away from not having HR or marketing or any number of other jobs. I’m not sure if you remember 2023 after ChatGPT roll out and the number of days the tool was just unavailable to everyone. Companies are also slowing down internal adoption and all the time people could be learning these tools by making it feel like they are just waiting for the layoff notice.
I was on teams who had to transition from full-time in person during Covid-19. We set up processes to stay connected, meet about projects, completely change all over events on the fly. We went from managing a 800 attendee in person event to a virtual event and marketing that. Letting my teams test new ideas like moving from a weekly podcast to a daily for a few months to push out relevant information during a moment of change.
The university transitioned to fully virtual as well. The university was trying to find ways to keep students engaged and made policies about always keeping their cameras on. I never had to worry about enforcing that policy because I flipped my classroom. I sent them home with my lecture that I recorded as a podcast, and then when we met I would put them into small groups to work on our semester projects. The instant two or three of them were working together, cameras came on because they found value in the engagement rather than a presence requirement they had to meet.
Process
Meeting with team and leadership
Deliverables
1. Map of current tools highlighting problem areas, preferences, and budget.
2 Presentation to leadership and team
Decision
What workflows offer the highest potential for operational improvement?
Compile Options for New Tools or New Methodologies
Deliverables
Presentation of options and how we’ll study the potential impact.
Decision
Test volunteers for tool alternatives or new methods
Compile Results from Tests
Deliverables
Presentation on trial results, any recommended alterations, and final thoughts on tool usefulness.
Decision
Deploy tool for longer test period and monitor results
Final Results
Deliverables
Report on the final results on the impact of new tools and workflow modifications for the department.
Decision
Application options beyond the test department.