Building the AI Bridge: How CloudFronts Helps You Connect Systems That Talk to Each Other - CloudFronts

Building the AI Bridge: How CloudFronts Helps You Connect Systems That Talk to Each Other

When we say building a bridge? Does it mean something isn’t connected together? And what is it?
It’s AI itself and your systems that are not connected. What this means if although your AI can access your systems to derive information, it’s still unreliable, slow.

What is needed for AI to be successful?

In order for AI to be successful, below is what to avoid:

  1. AI Agents that are not prompted to handle business data correctly.
  2. Agents connected to the source systems directly and affecting performance.

In order to eliminate the above, we must have a layer of ‘catalog’ which will house all business data together so that a common vocabulary is established between systems.

AI then pools from this ‘Data catalog’ to perform agentic actions. The diagram below best explains, on a high level, how this looks :

And all this is defined by how well the integrations between these systems are established.

How CloudFronts Can Help?

CloudFronts has deep integration expertise where we connected cloud-based applications with each other with the below in mind –

  1. Integrate the right systems keeping the rightful one as a source of truth.
  2. Move transactions between system and Master data that supports that.
  3. Integrations to enable systems that complement each other and do not replicate

Often times, we find ready-made plug and play cloud-based integration solutions which come with their own hefty licensing that keeps going up every few years.

Using such integration tools not only affects cash flow but also adds a layer of opaqueness, as we don’t control the flow of integration, and we cannot granularize it beyond what’s offered.

Custom integration gives you better control and analytics, which readymade solutions can’t.
Here’s a CloudFronts Case Study published by Microsoft, wherein we connected systems for our customer with multiple systems driving data and insights.

To conclude, AI Agents are meant to be for your organization aren’t optimized to work right away. This disconnect needs to be engineered just like any other implementation project today. As this gap is real and must be fulfilled by something called Unity Catalog and integrations, CloudFronts can help bridge this gap and make AI work for your organization to continue to optimize cash flow against rising costs.

We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.


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