Tech Blog
Why we build AI-native business software, not AI add-ons
Adding a chatbot to old software is different from designing around what AI can do. Here is how we think about it.
Marichi Labs Engineering · · 6 min read
Add-on AI versus AI-native
An add-on sits beside the workflow. An AI-native product reshapes the workflow around the model, so the software drafts, summarises and suggests as a normal part of the job.
Where AI earns its place
We focus on tasks that are repetitive, text-heavy and costly to delay: drafting proposals, summarising meetings, answering questions about live data and deciding who to follow up with next.
Keep humans in control
Every AI output is a draft the user can review. Business decisions stay with people; the software removes the busywork around them.
Data first
AI is only as useful as the data it can see. That is why our products share one connected data layer instead of separate silos.