Glossary

A unified alphabetical reference of terms used throughout the Ema Builder Platform documentation.

A

• Action-Based Rule -- A QA evaluation rule that verifies actions taken in external systems (CRM, ticketing) rather than analyzing transcript content alone.

• Dashboard -- A spreadsheet-style AI Employee interface optimized for high-volume, repeatable workflows such as triage queues or data enrichment.

• Agent (Platform) -- A modular AI component that performs a specific task within the Ema platform, such as transcription, categorization, or rule validation. An autonomous process combining planning, reasoning, and memory.

• AI Employee (AIE) -- A configured instance that coordinates multiple agents to accomplish a specific business objective. AI Employees are orchestrated by the Generative Workflow Engine and represent complete end-to-end workflows.

• Audit Log -- A chronological record of actions, configuration changes, and workflow executions within a workspace or AI Employee. Audit logs provide traceability for compliance, debugging, and operational review.

• Autopilot -- An AI-assisted creation tool that lets you describe the AI Employee you want in natural language and have Ema generate a starting workflow automatically. Available as an entry point on the AI Employees page.

• Auto-Fail -- A critical QA rule that, when failed, results in an automatic score of zero regardless of other parameter results.

• Auto-Learning -- Ema's batch calibration feature that automatically generates and refines QA parameter instructions using a golden dataset of human-graded examples.

B

• Binding -- The mechanism by which a workflow definition connects data sources to action inputs. Sources include outputs from other actions, workflow inputs, constants, and persona widget names.

• Builder -- A user role responsible for designing and assembling multi-agent workflows, either from scratch or by customizing an AI Employee template.

C

• Call Driver -- The most specific (L3) level of contact reason categorization, representing the root cause for a customer call.

• Contact Reason -- Hierarchical categorization of why customers are calling, organized into L1 (high-level), L2 (detailed), and L3 (specific) levels.

• Continuous Learning -- Ema's feature for improving evaluation accuracy incrementally through feedback provided during daily quality reviews, as distinct from batch Auto-Learning.

• CSAT (Customer Satisfaction) -- A metric measuring customer satisfaction with a service interaction, often collected via post-call surveys or predicted by AI analysis.

• Custom Code Agent -- A GWE agent type that allows builders to execute arbitrary code logic within a workflow. Custom Code agents enable advanced transformations, calculations, or integrations that go beyond the capabilities of pre-built agents.

D

• Data and Resources Agent -- An agent category that leverages knowledge graphs and other repositories to surface information relevant to the current task.

• Dead Air -- Periods of silence during a call where neither party is speaking. Tracked as part of silence time analysis.

• Diarization -- The process of separating audio into segments corresponding to different speakers (agent vs. customer).

• Document -- An AI Employee interface providing live co-authoring inside a Word/Google Docs-style environment for drafting and reviewing long-form content.

E

• EmaFusion -- Ema's proprietary Mixture-of-Experts model that routes each subtask to the optimal LLM from 40+ models across 9+ providers, with cascading fallback when confidence thresholds are not met.

• End User -- A user role that interacts with a finished AI Employee to obtain outcomes but cannot alter its configuration.

G

• Glossary (Feature) -- A per-AI-Employee feature that defines custom vocabulary (terms and definitions) to ensure consistent, accurate responses aligned with an organization's terminology. Uses whole-word, case-insensitive matching with strict word boundaries.

• Golden Dataset -- A collection of transcripts with verified human evaluations (Pass/Fail/N/A for each parameter) used to train and calibrate the Auto-Learning system.

• GWE (Generative Workflow Engine) -- Ema's orchestration layer that coordinates multiple agents within a workflow, managing data flow, dependencies, and execution. Provides a visual builder and a curated library of reusable agents.

H

• Human-in-the-Loop (HITL) -- A capability allowing agents to seek human help mid-task for disambiguation, assistance, or approval. Can be conversational (chat) or structured (dashboards).

I

• Integration -- A connector linking an Ema workspace to an external application (e.g., Salesforce, ServiceNow). Each integration authenticates with the target system and scopes read/write permissions.

• Interaction -- A single customer service call processed by Agent QA, including audio, transcript, and all evaluation results.

K

• Knowledge Base -- A collection of documents (policies, procedures, product information) that Ema references when evaluating knowledge-verified rules or answering questions.

• Knowledge-Verified Rule -- A QA evaluation rule that cross-references transcript content against knowledge base documents to verify information accuracy.

M

• Maintenance Mode -- A workspace-level or AI-Employee-level state that temporarily suspends workflow execution for planned updates or configuration changes. While in maintenance mode, incoming requests are held or rejected with a maintenance notice.

• Multi-Binding -- A workflow configuration where multiple upstream action outputs are bound to a single array-typed input port. Elements from skipped actions are removed; if all elements are skipped, the binding is treated as absent.

N

• Named Inputs -- Key-value pairs configured as named bindings in a workflow, allowing users to pass supplementary context (search results, external tool outputs) to an action beyond its primary query.

P

• Parameter -- A QA evaluation criterion or rule used to assess agent performance. Each parameter has pass/fail criteria and a weight.

• PII (Personally Identifiable Information) -- Sensitive customer data (names, account numbers) that is detected and masked by Ema during processing.

• Pre-Built AI Employee -- A template from Ema's catalog providing a ready-to-deploy blueprint for a specific use case (e.g., Agent Assist, Employee Assistant).

• Protected Parameter -- A QA parameter that achieved 90%+ accuracy during Auto-Learning and is excluded from further automatic modification.

Q

• QA Form -- A document defining all evaluation parameters, their criteria, weights, and criticality levels.

• QA Score -- The weighted overall score (0--100) calculated from all parameter results, representing the quality of a customer service interaction.

S

• Scorecard -- A summary view displaying all parameter evaluations for a single interaction, including pass/fail status and Ema's reasoning.

• Sentiment Analysis -- AI analysis of customer emotional state during an interaction, categorized as Positive, Neutral, Negative, or Mixed.

• Skill Agent -- An agent category that applies domain-specific capabilities, drawing on user data, enterprise knowledge bases, external systems, or the open web.

T

• Transcript -- The text representation of a call conversation, including speaker labels and timestamps.

• Trigger -- The event that initiates a workflow execution (e.g., a chat message, a scheduled event, or an API call).

• Trigger-when -- A boolean expression on a workflow action instance that is evaluated at runtime. If true, the action executes; if false, it is skipped along with dependent downstream actions.

W

• Weight (Weightage) -- A numerical value (0--10) indicating the importance of a parameter in calculating the overall QA score.

• Widget -- A named configuration block attached to a persona that provides shared settings consumed by workflow actions at runtime.

• Workflow -- A directed acyclic graph (DAG) of action instances, defined in a WorkflowDef, that the Generative Workflow Engine parses, validates, and executes. Each node is an action instance; each edge is a binding.

• Workflow Builder -- The visual interface for creating and modifying AI Employee workflows, including agent configuration and data flow connections.

• WorkflowDef -- The protocol buffer definition of a workflow, specifying action instances, their bindings, triggers, conditionals, and outputs.

• Workflow Version History -- A feature that tracks changes to workflow definitions over time, allowing builders to view previous versions, compare differences, and restore earlier configurations when needed.

• Workspace -- An organizational workspace in Ema containing AI Employees, integrations, users, and configuration. All resources within a workspace share the same permission and policy context.