If you recognise more than four of these signs, you are already losing a measurable amount of time and quality.
Knowledge exists within many organisations – but often not where it’s actually needed. When information is spread across systems, teams, filing systems and tools, knowledge silos are created which can be time-consuming in day-to-day operations, make decision-making more difficult and threaten the quality of information.
Our checklist can help you identify whether your company’s knowledge is already trapped in silos – and why it’s worth taking a closer look before minor inefficiencies turn into real obstacles for your productivity.
Here’s what you’ll learn by going through the checklist:
01
Whether your company is already showing typical warning signs of knowledge silos
This checklist will help you assess whether scattered knowledge, lengthy search times or conflicting information are already affecting your day-to-day work.
02
Where hidden time and quality losses can occur
You’ll get a sense of where knowledge is unnecessarily hard to find – and why as a result, teams, processes and decision-making can be held back.
03
Why AI reaches its limits without a connected organisational context
The checklist highlights why AI applications are only truly helpful if they can access relevant, up-to-date and accessible information.
04
What the first steps towards making knowledge more usable look like
You’ll discover why it’s not always a new system that’s needed, but rather, above all, a better overview of existing knowledge sources and how they work together.
From AI pilot to productive knowledge architecture
Many AI projects fail, not because of the technology, but because of a lack of context. Together, let’s analyse where your greatest potential for improvement might lie.