How I help businesses automate the busy work

AI automation is most useful when it is tied to a real business outcome: faster follow-up, cleaner operations, better content production, stronger customer experiences, or more time for the work that actually moves revenue.

That is where I like to help.

My background sits across full-stack development, AI tooling, content strategy, growth marketing, and product work. I have built courses and labs that teach people how generative AI works, created internal AI tools for content teams, and now work as a Product Engineer at Gametime, where I build AI tools and product systems for live event discovery.

The common thread is simple: take a messy, manual, ambiguous process and turn it into something useful.

Where automation can make money

Most teams do not need a giant AI transformation project. They need a few specific workflows that remove friction from the business.

That might mean automating lead research so sales teams spend less time gathering context and more time starting good conversations. It might mean turning scattered customer notes into usable insights for product and marketing. It might mean building a content pipeline that helps a small team publish more consistently without lowering the quality bar.

Good automation does not replace judgment. It gives better leverage to the people who already have it.

How I can help

I can help you identify the workflows worth automating, prototype the first version, and turn the useful pieces into repeatable systems.

That can look like:

• AI-assisted sales and lead research workflows
• Internal tools that reduce repetitive content or operations work
• Marketing and content pipelines that help small teams move faster
• Product workflows that use AI to improve customer experience
• Data cleanup, enrichment, and reporting automations
• Lightweight prototypes that prove whether an AI idea is worth building

The best projects usually start with a simple question: where are smart people on your team still doing work that a system could prepare, organize, summarize, route, or draft for them?

What I care about

I care about automations that are practical, measurable, and easy for real teams to use. The point is not to bolt AI onto a workflow because it sounds interesting. The point is to make the business run better.

If an automation saves hours, improves response time, helps a team ship more, or uncovers revenue that was being missed, it is doing its job.

That is the kind of work I want to build more of.