Rules and regulations change constantly. LLM-based agents may promise autonomous adaptation, but their unpredictable, black-box nature makes them unsuitable for high-stakes, regulated environments.
XpertAgents use a hybrid AI approach - changes are ingested at design time, validated by experts, tested, and deployed as updated, auditable decision models. Explainable machine learning from runtime data continuously improves outcomes, capturing best practices and new patterns.
The Result
Organizations can adapt quickly, make reliable decisions, and stay compliant, all while maintaining the trust and transparency that high-stakes operations demand.