Following my post on a shelved AI proof of concept, I explore the frustrating gap between corporate AI ambition and the deep, practical integration that's truly possible. This is my plea to move beyond the API key and empower engineers to build real AI platforms.
In my one of my previous posts, I detailed a proof of concept I built for a context aware AI helper. It was a successful experiment that proved we could offer intelligent, real time support to our users. While that specific project was shelved, it's a symptom of a larger, industry-wide issue: the gap between talking about AI and committing to its deep, meaningful integration.
There isn't a tech company today that doesn't have "AI" at the top of its strategic roadmap. But in practice, this often means just touching the surface, a little prompt engineering here, a basic chatbot there while the real potential is left untapped due to lingering skepticism or a misunderstanding of what it takes.
The Frustration of Untapped Potential
This isn't just theory for me; I'm actively building with AI in my own time. I have several live Twitch bots using GPT, a website helper bot designed not to hallucinate, and I've even retrained a model to write basic Vitest tests. I'm constantly suggesting ways we could use AI and ML to solve real problems at work, from fraud detection to developer automation.
The reality, however, is that true innovation requires more than a third-party API key and a few clever prompts. It requires trust, investment, and a willingness to build.
The Plea: Empower Your Engineers
My plea to leadership not just here, but across the industry is this: give us more than an API key.
The real value of AI will be unlocked when companies empower their engineers to build their own internal AI service platforms. A centralised, secure, and highly customised engine that can be leveraged throughout the entire business. This is how you create a sustainable competitive advantage, not by being just another customer of a large AI vendor, but by building unique solutions tailored to your specific data and customer needs.
The potential is right here, in the hands of the engineers who are already building the future in their spare time. We just need to be given the keys.