The agents are only as good as the context you give them.

After 25 years building technology at scale — from taking Bankrate public to deploying enterprise Salesforce across financial services — Brian founded AgentContext to help organizations bridge the gap between what AI can do and what their business actually needs.

That experience is now used to leverage AI tools in enterprise platforms like Salesforce, Microsoft Copilot, and Claude to drive efficient workflow solutions that are grounded in real domain knowledge, not hype.

With over 20 years at the intersection of cybersecurity, technology, and strategy — from founding the Cyber Resilience practice at ImagineX Consulting to leading Strategy & Operations engagements at Slalom — Theron joined AgentContext to help organizations secure and operationalize their AI investments.

He partners with executives across all verticals — especially financial services, healthcare, travel, and consumer industries — to turn cyber risk into a strategic advantage, leading everything from maturity assessments and incident response planning to go-to-market strategy, grounded in the domain knowledge that makes each engagement stick.

Theron earned his JD from Northwestern University and MBA from the Kellogg School of Management in 2010, and his bachelor's from Georgetown University in 2000.

After spanning careers in predictive ML under government contract and LLM-based automation for enterprise, Maysum joined AgentContext to help organizations turn agentic AI from a concept into workflows their teams actually use.

He partners with businesses to build custom agents, deploy Retrieval-Augmented Generation systems, and integrate Claude Code and Copilot into day-to-day operations, while training teams to use Claude confidently themselves so the value compounds long after the build is done.

With a background spanning computer science research, real-time ML for scientific microscopy, and LLM application development for enterprise, Nasir joined AgentContext to help organizations move beyond AI experimentation and into systems that run reliably in production.

He partners with businesses to build custom agents, train and fine-tune models for domain-specific tasks, and design LLM workflows in tools like LangChain connected to the data and SQL backends that make automations useful, while helping teams develop the confidence to extend and maintain what gets built.