AI can write emails, reports, and poetry.

It can diagnose diseases and predict market trends. Build apps, software, and games.

But it becomes actually usable, and infinitely more powerful, when humans take the wheel.

Think of humans as the magnifying glass that focuses scattered sunlight into an intense, concentrated beam of heat.

The Deloitte debacle is a recent example of unbridled (some might say, unsupervised) use of AI.

And their boo boo  was to the tune of $440,000!!!

Don’t get me wrong. I’m not throwing shade at Deloitte.

Although we did have a hearty laugh at the office 😀 …

See AI, while being efficient, is not error-free.

It can fudge the details (ahem, Deloitte, ahem).

That brings us to the million-dollar question…

“What makes the difference between AI-powered work that’s great and work that reads like an essay written five minutes before deadline?”

To answer this question, let’s head behind the scenes at Avonet…

We use AI, every day, to make our software development faster, smarter, leaner.

But our PEOPLE sit firmly in the driver’s seat.

Here are some productivity gains we – and our clients – are enjoying with AI:

  • Cut dev time significantly without compromising UI and UX elements (by converting Figma designs into front-end code)
  • Save our Business Analysts hundreds of hours of manual documentation work (by generating detailed user stories and acceptance criteria)
  • Save a ton of time and effort in mapping APIs and connecting front-end components with backend logic (front-to-back integration)
  • Flag potential issues (via automated quality and security checks) long before the code hits our Tech Lead’s desk
  • Front-ends look pixel-perfect because AI-powered visual comparison tools validate that what’s built matches the design

What all this really means is…

… Our team prioritises THINKING, instead of hours of typing.

And nothing ships without HUMAN approval. Period.

We’ve built our CI/CD pipeline with ample human touchpoints. Because, while AI can generate code, only our engineers can judge whether it’s good code.

If we allow AI push code straight to production, we’d have a Deloitte situation on our hands. (Ok, this is the last time we mention that. Promise! 😀)

We don’t let AI replace our people; we let it amplify their genius.

The moral of the story, and something I preach every time I talk about AI, AI is great for speed and efficiency, but that’s where the buck stops.

I’ll leave you with the iconic bench scene in Good Will Hunting (1997) between Robin Williams (Sean the therapist) and Matt Damon (Will).

Sean: “So if I asked you about art, you’d probably give me the skinny on every art book ever written. Michelangelo? You know a lot about him. Life’s work, political aspirations, him and the pope, sexual orientation, the whole works, right? But I bet you can’t tell me what it smells like in the Sistine Chapel. You’ve never actually stood there and looked up at that beautiful ceiling.”

How does this apply to AI?  AI can:

  • Analyse sentiment but cannot feel emotions
  • Spit poetry but won’t be moved to tears
  • Describe loss but has never grieved
  • Explain love but has never been vulnerable with another being

Just like Will hiding behind his intellect, AI can process information brilliantly but lacks the lived experience, emotional weight, and embodied understanding that makes human wisdom different from mere facts.

Keen to be a part of our AI+Human-powered custom software journey?

There are FOUR ways we can help you:

  1. Build apps/software systems for your unique needs
  2. Eliminate SaaS bloat by building something that works for you
  3. Modernise legacy systems
  4. Beef up your tech team with our Squads (minus the cost of full-time hires)

Drop us an email on info@theavo.net.