// the problem
Adopting AI in business is hard.
Most of the economy is still figuring out what the hell AI even does.
The pressure to "adopt AI" has pushed companies into spending on tools, consultants, and integrations that deliver nothing. Not because AI is bad — but because the decisions were driven by hype, not need.
// what I do
From honest assessment to working integration.
Process audit
I look at your actual workflows and find where AI is realistically useful and worth the investment.
Straight feasibility assessment
A clear answer on whether a specific integration is worth pursuing, with realistic expectations. I'll tell you no if the answer is no.
Concrete roadmap
If AI makes sense, you get a prioritized plan — not a vague strategy document, but actual next steps you can act on.
Hands-on implementation
I can build the integration myself. No handoff to a team that wasn't part of the assessment. Same person, start to finish.
// who I am
A software engineer, not a strategy consultant.
I've spent 15 years building products with AI — from early machine learning pipelines to the LLM-powered systems everyone is rushing to ship today. I've been close enough to the technology to know what it can and can't do, and close enough to business teams to know why most integrations fail.
The pattern I keep seeing: companies adopt AI because the industry sold them on it, not because they identified a real problem it could solve. The result is wasted budget, frustrated teams, and a vague sense that they're falling behind.
I'm a software engineer. I don't have a platform to sell or a methodology to license. If AI isn't the right tool for your situation, I'll say so. If it is, I can help you build it.
// get in touch
Let's figure out if this is useful for you.
Leave your name and email. I'll reach out to learn more about your situation — no pitch, no sales call script.
// no spam. no newsletters. just a conversation.