Glossary
Enterprise AI terminology defined with research-backed explanations.
Agentic AI
AI systems that can autonomously plan, execute, and coordinate multi-step tasks using tools and sub-agents, rather than just providing recommendations.
ASCS (AI Sales Capability Score)
Reviews CXO's 12-dimension evaluation framework for assessing enterprise AI sales platforms on architecture, security, and capability maturity.
Cross-System Reasoning
The ability of an AI system to combine data from multiple enterprise systems (CRM, ERP, external) in a single reasoning chain to produce insights.
CRM Data Grounding
The process of anchoring AI outputs to actual CRM data records, ensuring recommendations are based on real customer and pipeline information.
ERP Connectivity
The depth and quality of native integration between an AI platform and enterprise ERP systems (SAP, Oracle, NetSuite).
Evidence Classification
Reviews CXO's taxonomy for categorizing the strength of evidence behind a claim: Observed, Documented, Partially Documented, Third-Party Confirmed, Simulated, Inferred, or Not Tested.
Generative Engine Optimization (GEO)
Optimizing content to be cited and quoted by AI search engines (ChatGPT, Gemini, Perplexity) rather than just ranked in traditional search results.
Workflow Automation
AI systems that can complete end-to-end business tasks autonomously, not just provide recommendations for human action.
Model Transparency
The degree to which an AI platform discloses which LLMs it uses, versioning, model cards, and architectural details.
Data Portability
The ability to export and migrate data from an AI platform using standard formats, APIs, and open standards.