With all the discussions around companies pushing everything towards AI, we need to realize there is no real “easy button” for using AI to get your company’s architecture into your Enterprise Architecture (EA) tool. AI tools are transforming EA by helping with analysis, planning, and generating reports once your architecture data is ready, but the real work starts much earlier when getting the information into your EA tool in the first place.
Even the best automated discovery tools that scan your network and systems don’t give you everything. You still need to carefully review their findings. This means checking for mistakes, filling in missing information, and making sure the data matches your actual company setup.
This first step of gathering and confirming your EA data is the most important part. Without good data, even the best AI tools can’t provide useful results. The value from AI tools are more around:
• Understanding and summarize the architecture data
• Exploring different design options
• Creation clear reports and documentation
• Helping teams communicate better using simple language
However, you still need to remember that AI is a tool that supports your work. It is not a replacement for your knowledge and careful attention to detail.
Here are some tips when getting started:
1. Use automated tools to collect as much information as possible but plan time for manual review.
2. Keep your EA data continuously up to date. It is not a one-time task.
3. AI tools are then used to help with analysis and communication only after your data is organized.
At GlobeArc Corp, we help guide organizations through both the data setup and intelligent AI use so they get the most from their Enterprise Architecture efforts.
What challenges have you faced getting your EA data sorted?
Feel free to share or ask questions below and if you want help getting started, let’s connect!
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