Preserve Expertise for Operational Excellence
Challenges
Organizations faced significant challenges in retaining and transferring expert knowledge, leading to inefficiencies, lost insights, and disruptions to operations.
Solution
I led the creation of a dynamic knowledge base in aiKO that captures expertise into a system, integrating knowledge with real-time data for faster decision-making.
Enable engineers to solve problems 25% faster*
Accelarate onboarding new engineers by 40%*
Stabilize operations and maintain product quality.
Company
Aitomatic
Position
Product and Design Lead
Year
2024
Market
Asia, B2B
Challenges
In manufacturing, senior engineers are the backbone of operations, carrying years of knowledge about machines, processes, and troubleshooting. This expertise often exists only in their minds, scattered across emails, spreadsheets, or conversations. When these experts leave, organizations lose more than just individuals: they lose critical insights, causing inefficiencies, slowed production, and longer onboarding for new hires.
Solution
To address this, I led the creation of the Knowledge Base in aiKO, a platform that transforms expertise into actionable intelligence of AI agents. aiKO not only captures knowledge but integrates it with real-time data, enabling faster and accurate decision-making. My role is defining the product and design strategy, ensuring the platform was intuitive and aligned with how engineers naturally think and work.
We began with in-depth research, interviewing engineers to understand their workflows and challenges. The initial designs focused on simple knowledge storage, but testing revealed a critical gap: users struggled to see connections between isolated pieces of information. In response, we reimagined the platform as a hierarchical system, organizing knowledge into categories and subcategories that mirrored how engineers naturally structure ideas. This shift helped teams see relationships between insights, creating a more intuitive experience.
Engineers could even link knowledge to live machine data, turning expertise into real-time, actionable workflows. For example, troubleshooting guides can now pull live data from sensors, enabling faster, more accurate resolutions. Engineers can also document recurring processes in step-by-step workflows, providing clarity for team collaboration and reducing onboarding time for new hires.
Impact
The Knowledge Base in aiKO has already sparked excitement among early customers, who see it as a power tool for preserving expertise and improving operations.
While still in its early stages, aiKO is projected to reduce troubleshooting time by 25% and accelerate onboarding by 40%, making it easier for teams to solve problems and ramp up new hires. Customers recognize its potential to turn knowledge into actionable insights by linking expertise to live machine data, paving the way for scalable teamwork and improved efficiency.
As adoption grows, the Knowledge Base in aiKO will redefine how organizations leverage knowledge and set them up for automating workflows through advanced systems like GMA/SSA.
