The Illusion of Simplicity of Building Your Own Generative AI Systems

Executive Summary

Every business must decide whether or not to deploy Generative AI (GenAI). The real question isn’t if but how. Building GenAI systems in-house looks deceptively simple, but it’s a recipe for wasted budgets, delayed results, and falling hopelessly behind the competition.

The uncomfortable truth is that traditional software development processes just won’t cut it. AI projects aren’t just ‘more complex’—they’re fundamentally different. Public tools like ChatGPT and Gemini make it seem easy, but they mask an iceberg of hidden challenges. Think of them as the ‘tip’—the real mass lies beneath the surface.

It’s time to confront the hard reality. Approaching GenAI using your traditional SDLC approaches will drain your IT teams, devour your resources, and distract you from the strategic innovation your business desperately needs.
Krista is the solution. It’s the platform built for the express purpose of enterprise-grade GenAI. Krista isn’t another tool – she’s the automation engine that lets you build AI solutions with unmatched speed, flexibility, and security. The choice is clear: struggle with building and assembling open-source and point solutions or move at the speed of AI with Krista.

Table of Contents

    1. Building Your Own GenAI Platform Appeal (and its Pitfalls)
    2. Generative AI is Only 5% of the Solution
    3. Open-Source Illusion and Required AI Skills
    4. Avoiding Innovation Lock-In
    5. The Hidden costs of Generative AI
    6. How to Accelerate Enterprise GenAI Deployment

Guide:  How to Integrate Generative AI

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