Glossary
The vocabulary of operational intelligence.
Shared language for the operational, AI, and enterprise concepts that define how modern organizations are observed, governed, and improved.
Operational Terms
10 terms- Process Drift
- The gradual, often undocumented divergence between a defined SOP and how teams actually execute it in production.
- Operational Intelligence
- Continuous, AI-driven analysis of how an organization actually operates — surfacing risk, inefficiency, and contradiction in real time.
- Escalation Loop
- A repeating escalation pattern where issues bounce between teams or systems without ever reaching closure.
- Contradiction Detection
- Identifying inconsistencies between documented policy and observed behavior across transcripts, tickets, and workflows.
- Workflow Deviation
- A specific instance where execution diverges from the prescribed workflow path.
- Root Cause Intelligence
- Tracing an operational signal back to the originating policy change, system event, or behavioral shift that caused it.
- Behavioral Drift
- Shifts in how AI agents or human operators respond over time — often invisible until aggregated across thousands of interactions.
- Operational Mapping
- The construction of a real-time graph representing actors, systems, decisions, and dependencies in an enterprise.
- Shadow Process
- An undocumented workflow that exists in practice but never in the official process inventory.
- Resolution Bottleneck
- A specific step in a workflow that consistently delays case or ticket closure.
AI Terms
7 terms- LLM
- Large Language Model — neural networks trained on vast text corpora, capable of reasoning across natural language operational data.
- Vector Search
- Retrieving information by semantic similarity using high-dimensional embeddings rather than exact keyword match.
- Embeddings
- Numerical representations of text or other content that preserve semantic meaning for ML models.
- Retrieval-Augmented Generation (RAG)
- An architecture that grounds LLM responses in retrieved enterprise context, reducing hallucination and improving factuality.
- AI Hallucination
- When a generative model produces confident but factually incorrect or unsupported output.
- Agentic Workflow
- A multi-step process executed by autonomous AI agents that can plan, act, and iterate toward a goal.
- Fine-Tuning
- Adapting a pre-trained model on domain-specific data to improve performance on specialized tasks.
Enterprise Terms
8 terms- SOP
- Standard Operating Procedure — the documented sequence of steps a team is expected to follow.
- CSAT
- Customer Satisfaction — typically a post-interaction survey score used as a proxy for service quality.
- QA
- Quality Assurance — the practice of reviewing interactions to verify adherence to standards and identify coaching opportunities.
- SLA
- Service Level Agreement — a contractually defined performance threshold (e.g. response time, resolution time).
- Compliance Drift
- The slow erosion of regulatory adherence as policies, systems, and behaviors evolve out of sync.
- Audit Trail
- An immutable record of actions, decisions, and data access used for compliance and investigation.
- Observability
- The ability to understand the internal state of a system from its external outputs — extended in PointGuard Labs to organizational behavior.
- Governance Layer
- The policies, controls, and review processes that ensure AI systems and operational decisions remain accountable and reversible.
See how your operations actually run.
A 30-minute working session on your real workflows. No integrations required to start. Pilots run under NDA.
Request a private deployment