Enterprise AI, from strategy to production
Charlotte, NC · Generative AI Engineering
Generative AI for Charlotte teams: procedure search, document review and service assistants, grounded in approved sources and validated before use.
Generative AI Engineering in Charlotte
Charlotte is one of the largest banking centres in the US, with major bank headquarters and operations, a growing fintech scene, a large energy utility and big health systems. In banking, every AI model falls under model risk management, so governance comes first.
Where it fits
Staff find the current procedure, with sources.
Key terms pulled from agreements and statements.
Built for North Carolina rules
A written security program covering every system that handles customer financial data.
Security safeguards and prompt notice if personal data leaks.
Working together · Eastern Time
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
How we work
We agree what a good answer looks like and build a test set.
We connect trusted sources and design retrieval around them.
We measure accuracy, safety and cost, and iterate until it holds up.
We launch with monitoring and feedback loops that keep it improving.
In environments your security team approves, usually your own cloud account, with no retention of your data by the model provider.
Retrieval-augmented generation (RAG) finds the most relevant passages in your own content and gives them to the language model with the question, so answers are grounded in your data and can cite their sources.
Often not. Good retrieval and prompt design solve most enterprise use cases. We recommend fine-tuning only when evaluations show it clearly improves quality, cost or speed.
We design around your security requirements: private deployments where needed, access controls applied to retrieval, no training on your data without consent, and full logging.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
Let's connect