A Practical Guide to IT Procurement and Project Management
Which knowledge platform really suits your business – and which ones just sound good on paper?
With DMS, enterprise search, knowledge wikis and AI assistants all vying for attention, it is difficult to get a clear overview of the market. Especially for IT procurement and project management, it is therefore important that a tool not only makes knowledge discoverable, but also Integrates into existing systems, provides context, operates securely and quickly delivers real value.
Our checklist helps you compare knowledge and AI platforms in a structured way – using 15 evaluation criteria across five key areas.
Here’s what you’ll learn by going through the checklist:
01
What you should look out for when it comes to integration and connectivity
After all, a knowledge platform only realises its full potential when it effectively connects existing systems – rather than creating new data silos.
02
Why structure and context go beyond mere searching
The checklist shows you which questions you should be asking to ensure that knowledge is not only found, but also properly contextualised and utilised.
03
How to realistically evaluate AI features
Not every AI response is automatically helpful. What matters is whether the results are transparent, sourced and limited to your existing knowledge.
04
Factors relevant to operation, safety and cost-effectiveness
From data protection to implementation speed: you’ll be given a concise framework to help you evaluate solutions thoroughly and avoid poor investments.
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.