Integrating Agents with Data Layers for True Business Value

Integrating Agents with Data Layers for True Business Value

🧠 An agent built solely on publicly available data is a gadget. To achieve true business value, we must leverage what we have unique – our data.

Recently, I wrote about different types of AI memory. But memory alone is not enough – to become a real resource, you need to integrate an army of agents with a data layer.

This element is the essence of orchestration, which – as we know – can be the biggest challenge in implementations.

🎯 We approach with great care to ensure each agent has access to a rich set of data. Examples?

🔹 Millisecond access to resources selected from among 500,000 text documents
🔹 Instant knowledge of user profile – even with millions of records
🔹 Sharing experiences between agents working on the same process
🔹 Communication history with the user – we know what was needed a week ago
🔹 Advanced recommendation tools, far exceeding standard generative AI
🔹 Universal knowledge of the world fed by the best LLM models
🔹 Working data enabling cooperation between specialized agents
🔹 Integrated business data directly from the data warehouse

An agent must have what it needs to solve the task: relevant information, of good quality, and available immediately.

🔗 Here is where data and intelligence come together – with each user query, we access many sources simultaneously. This is how we achieve true efficiency, not just another "AI" wow effect.

💡 The graphic shows the data architecture that enables this 👇

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