Knowledge Base in aiKO
A knowledge system that thinks like humans
Company
Aitomatic
Position
Product & Design Lead
Year
2024
Market
APAC & US, B2B
Problem
In manufacturing, senior engineers possess the crucial insights that keep operations running smoothly. They understand machines, troubleshoot failures, and know which processes work best. Yet their expertise is everywhere across docs, emails, and informal chats, making it fragmented.
When these experts leave, their valuable knowledge disappears, leading to slower production, extended problem resolution times, and significant financial losses.
Solution
As Product & Design Lead at Aitomatic, I led the creation of the Knowledge Base inside aiKO, turning expertise into real-time, actionable intelligence. Leading a focused team of two FE, two BE, and a junior designer, I ensured that our solution aligned with how industrial engineers process and connect ideas.
Common, rigid systems often force engineers to work against how they naturally think. I proposed a new approach: structure knowledge the way people process and connect ideas. Information is structured hierarchically, with clear relationships between different kinds of knowledge.
key innovation was integrating live data into the system. A troubleshooting guide for a machine failure now doesn’t only outline steps but also pulls real-time sensor readings to show exactly what’s happening. Engineers act faster with clarity and precision, solving problems before they escalate.
Impact
Even in its early stages, the Knowledge Base is showing significant promise. It is projected to reduce troubleshooting time by 25% and accelerate onboarding for new engineers by 40%.
Major customers, including Pepsi, RHI Magnesita, and Tokyo Electron, have recognized its potential to stabilize operations and foster improved collaboration. This system is laying the groundwork for smarter, faster problem solving and more resilient manufacturing processes.
