November 11, 2024

Why ChatGPT doesn’t solve everything

As enterprises increasingly explore AI, tools like ChatGPT provide accessible, flexible options for generating text and running basic functions like table creation or visualization. And, at Artos, we absolutely love tools like ChatGPT, Claude, and Perplexity.

Why ChatGPT Isn’t the Complete Solution for Enterprise AI Needs

As enterprises increasingly explore AI, tools like ChatGPT provide accessible, flexible options for generating text and running basic functions like table creation or visualization. And, at Artos, we absolutely love tools like ChatGPT, Claude, and Perplexity.

However, while powerful, ChatGPT’s design as a general-purpose tool often falls short in meeting the specific needs of enterprise workflows, particularly in regulated industries like life sciences and pharmaceuticals. Here’s why ChatGPT isn’t enough and why specialized enterprise AI is essential.

1. Workflow Integration Challenges

ChatGPT is useful for generating text, but it’s not optimized for complex, multi-step workflows required in enterprise settings. In regulatory submissions, for example, generating tables and structured documents isn’t enough—AI must also format content precisely, collaborate with multiple users, and support quality checks throughout the process. ChatGPT lacks these tailored capabilities, meaning users often need to intervene repeatedly to ensure compliance and accuracy. Enterprise AI, on the other hand, can automate and streamline every step, fitting smoothly into complex workflows.

2. Reliability for Specialized Tasks

Reliability is another gap. ChatGPT, built as a general model, may struggle with high accuracy on niche tasks, making errors when handling large datasets or domain-specific requirements. In fields like life sciences, where accuracy is essential, enterprise-grade AI systems are better equipped, optimized for specific data types, and able to handle complex tasks like generating clinical trial tables or maintaining data consistency at scale.

3. Security and Access Control

Data security is critical in regulated industries, where specific access controls are required to protect confidential information across departments. While ChatGPT can’t enforce these granular security protocols, enterprise AI solutions are designed with robust access controls, meeting high standards for data governance and compliance.

Why Enterprise AI Matters

Ultimately, while ChatGPT offers versatility, it falls short in workflow integration, reliability, and security—making enterprise-grade AI indispensable for regulated industries. Purpose-built enterprise AI solutions address these challenges, providing secure, reliable, and workflow-friendly tools that general models simply can’t match. For organizations needing a tailored, compliant, and effective AI approach, enterprise AI is the way forward.

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