How we turn your business ideas into real-world AI products that drive results
- Can Kisi
- May 12
- 3 min read
AI can feel like a buzzword. But for businesses sitting on untapped data, inefficient workflows, or ambitious ideas they’re not sure how to bring to life, it’s much more than that; it’s an opportunity.
Take one of our recent clients in the e-commerce space. They were drowning in thousands of customer reviews every week and asked:
“Can AI help us categorise these and flag what matters?”
A few weeks later, they had a live, NLP-powered system that automatically grouped reviews by theme (product issues, shipping delays, customer service feedback), flagged anything negative in real-time, and highlighted trends they’d been missing.
The results?
20% faster response times from their customer support team
Internal teams prioritised fixes based on real user feedback
No more sifting through spreadsheets manually
And it all started with a simple pain point. Here’s how we got there, and how we help businesses like yours do the same.
From idea to AI product: A step-by-step process that puts your business goals first
1. Discovery: Understanding your business pain points
Most clients come to us with a rough idea. Something like:
“We think AI might help here… but we’re not sure how.”
Our job? To dig in. We’ll ask:
What’s the actual problem?
Who’s feeling the pain?
What does success look like in your world?
This first step is crucial; it’s where we translate ambition into something tangible.
2. Feasibility: Figuring out if AI is the right solution
Not everything needs AI. So we assess:
Do you actually need a large language model, or will a simple classifier work?
Can we build value fast without overcomplicating it?
Are we solving the problem or just making it look flashy?
This keeps us focused on real outcomes; not shiny objects.
3. Rapid Prototyping: Showing value early
We build lean, testable versions of the idea quickly. This way, we can:
Validate with real users
Get feedback fast
Prove ROI without a huge upfront investment
Think of it as “build smart, not big.”
4. Collaboration: Building with you, not just for you
Especially if you’re not technical, we make sure you’re in the loop:
Tight feedback cycles
Clear language (no jargon)
Regular check-ins to make sure we’re aligned
We don’t throw tech at you; we walk you through it.
5. Deployment: Solutions that scale with your business
When we deliver, it’s not just functional, it’s:
Scalable and secure
Integrated with your current stack
Built to last, not just launch
And we train your team as we go, so you’re not dependent on us forever.
Tech that fits your needs: Choosing the right tools for the job
We’re not about using the latest trend just because it’s popular. We match the solution to your business needs:
LLMs for smart chatbots, summarising content, and automating support
Retrieval-Augmented Generation (RAG) for tools that pull in your real data (ideal for internal assistants or FAQs)
Classic ML models for reliable, fast decision-making based on structured data
NLP pipelines for parsing documents, analysing sentiment, and pulling out useful insights from unstructured text
Whether it’s the latest tech or a tried-and-tested approach, we choose what actually works for you.
Real challenges, real solutions: how we make AI work even when it’s messy
Building AI isn’t always clean or simple. Some examples:
Limited labelled data?
We’ve used synthetic data, transfer learning, and even AI-generated sample labels to get started, then brought in real people to validate and refine.
Bias and explainability concerns?
We test for edge cases and build transparency right into the system, so teams know how and why decisions are made.
Security and scalability?
Baked in from the start. No duct-tape solutions or costly rebuilds six months down the line.
What we’ve learned: the most powerful AI starts small and solves something real
The most rewarding part? Watching clients move from “AI feels like magic” to “we couldn’t run our business without this.”
Biggest lesson? Start small. Prove value fast. Grow once it’s working.
AI isn’t a silver bullet; it’s a toolbox.
The magic is in choosing the right tool for the job.
Ready to turn your idea into something real?
If you’ve got a challenge in mind, or even just a hunch that AI might help, we’d love to chat. Let’s figure out what’s possible, and then build it together.
Have a chat with Chris, our Head of Consultancy. He’ll help you map the path forward.