Navigating LLMs in Business: Five Questions to Ask Your Tech Partner

Today, businesses integrate AI tools to enhance operational efficiencies. This technology reshapes customer interactions, sales strategies and administrative duties. AI automates tasks like lead scoring and delivers instant call summaries with actionable follow-ups.

Recognizing the potential of Large Language Models (LLMs) carries significant responsibility and requires acknowledging their risks. Data is the most valuable asset, and demands a new comprehensive playbook from solution providers to navigate enterprise AI's data custody issues.

As businesses venture into integrating LLMs with their sensitive data, initiating candid conversations with technology partners is crucial. Here are five questions to kick-off those discussions:

1. How do you guarantee LLM answers derive solely from my data?
2. Are my LLM interactions used for training? How accessible is my data outside my organization, and does this comply with my data privacy policy?
3. How do you prevent confidential data exposure to unauthorized individuals (both outside and inside my organization) capable of manipulating LLMs?
4. How do you guarantee LLM accuracy and address inaccuracies, such as hallucinations?
5. What are your performance benchmarks for LLM interaction?

At TigerEye, we actively shape the future of business prediction, emphasizing security and privacy in our single-tenant architecture for our forthcoming LLM tools. With financial precision critical in business, our AI solutions uphold the highest data protection standards.

Every company needs to prioritize safety and security through rigorous testing and adhere to industry best practices. Start holding transparent conversations now — especially with companies quick to throw a GPT wrapper on legacy software.

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