Modernizing Legacy Systems with AI
Agents, Pipelines, and Knowing the Difference
Most businesses leverage AI models built by OpenAI, Anthropic, Google, and a growing open-source ecosystem.
That means the differentiator isn't the models you use, but how well you understand which AI architecture solves a given problem ... and if you can build it to production standards.
Our free white paper presents a framework for thinking about AI-driven modernization across three distinct architectural patterns, drawn from real production systems built by Taazaa. Each system required a different architectural approach.
Not Every AI Workflow Is "Agentic"
Conversations around AI tend to label a wide range of capabilities as “agentic AI.”
However, there is a meaningful distinction between an AI system that classifies documents and routes them through a deterministic pipeline, and one that autonomously reasons about which tools to invoke based on a user’s natural-language query.
Conflating the two can lead to over-engineering, unnecessary costs, and fragile systems that may not produce results.
Each architecture discussed in this white paper excels in a specific domain. The engineering skill is in selecting the right one.
We dissect five production systems that illustrate the full spectrum.
Modernizing Legacy Systems with AI
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Article Contents
Most businesses leverage AI models built by OpenAI, Anthropic, Google, and a growing open-source ecosystem.
That means the differentiator isn't the models you use, but how well you understand which AI architecture solves a given problem ... and if you can build it to production standards.
Our free white paper presents a framework for thinking about AI-driven modernization across three distinct architectural patterns, drawn from real production systems built by Taazaa. Each system required a different architectural approach.
Taazaa Inc.
For inquiries, please contact info@taazaa.com.
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