Expert.ai Included in the 2026 Gartner® Neurosymbolic AI, a Shortcut to Agentic Systems Governance Report
According to Gartner, “The promise of neurosymbolic AI is that it can enable AI systems to better represent, analyze and generalize concepts in a more transparent manner”.
Expert.ai is focuses on industry-specific applications, including Insurance, Digital Information Services, Industrial, Pharma, Banking and Financial Services, Public Sector.
Expert.ai has been included in the Gartner report Neurosymbolic AI, a Shortcut to Agentic Systems Governance*. According to Gartner, “Heads of enterprise architecture (EA) must leverage neurosymbolic AI (NSAI) to better train, observe, control, and orchestrate AI agents. Successful heads of EA source NSAI vendors with vertical AI pillars designed for their industry’s use cases, ontologies, cognitive frameworks, and knowledge bases to streamline scaling of agentic systems.”
For organizations exploring agentic AI, the growing role of neurosymbolic approaches underscores the importance of combining advanced AI models with structured knowledge, domain expertise and mechanisms that can provide greater control over AI-driven decisions and processes. As Gartner puts it, “Approximately 69% of EA leaders are currently employing or piloting agentic AI, but they indicate that unpredictable agent behavior or failure to stay within autonomy limits and lack of AI agent observability are among the key bottlenecks preventing agentic AI experiments from moving to production.”
Neurosymbolic AI: the path to governance, explainability and transparency
Expert.ai applies neurosymbolic AI to industry-specific challenges across all the major industries, including banking and financial services, insurance, digital information services, pharma and life sciences, industrial, and the public sector. Its approach combines natural language understanding, machine learning and symbolic knowledge to help organizations extract meaning from complex information and connect AI capabilities with domain knowledge. By bringing together the strengths of neural and symbolic approaches, combining machine learning with structured knowledge and reasoning, Expert.ai ensures 100% explainability, traceability and rule-based constraints. These capabilities are increasingly relevant as enterprises seek to manage risks associated with data privacy, intellectual property, information integrity and AI hallucinations.
Are you looking to scale agentic AI? Learn more about Expert.ai’s neurosymbolic AI: the combination of advanced models with structured knowledge, domain expertise and explicit reasoning mechanisms as the most valuable path agentic systems governance.
* Gartner Neurosymbolic AI, a Shortcut to Agentic Systems Governance, Benjamin Arnberg, August 10, 2026
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