Daniel Livingston: Enterprise AI & Strategic Analytics.

Agentic AI & Business Automation

Moving Beyond the Chatbot

While most organizations treat AI as a passive knowledge base, I build systems that work. I design and deploy Agentic AI architectures—autonomous workflows that move technology from "Question & Answer" to "Reason & Act."

With over 10 years of experience in data science and a Master’s in Applied Statistics, I bridge the gap between experimental R&D and reliable, governed enterprise solutions.

The Enterprise Advantage

The real value of AI isn't generating text; it's reducing operational friction. I combine statistical rigor with software engineering to deliver:

• Smart Orchestration: Designing agents that don't just write code, but intelligently select tools to query databases, analyze trends, and execute multi-step workflows.

• Governance by Design: Building "Human-in-the-Loop" systems where agents handle repetitive labor but operate under strict verification protocols—essential for regulated industries.

• Legacy Modernization: transforming outdated SAS/R logic into modern, scalable Python ecosystems.

Current Exploration

I am actively prototyping "Digital Workers" that integrate with enterprise APIs to automate complex, low-level tasks, freeing up human capital for high-level strategy. This represents the intersection of my background in statistical rigor and software engineering—ensuring these agents are not just smart, but reliable and safe.

Contact

Get in touch to discuss your journey.