Dimension Labs connects your contact center conversation data with operational metrics to prove why interactions succeed or fail.
Millions of interactions flow through your contact center every month. The causal intelligence inside them disappears the moment the session ends.
Unified Data & Enrichment
Your conversation data, CSAT scores, agent metadata, and resolution codes all live in different systems. Dimension Labs connects them and builds the Meaning Layer: every interaction enriched with Dimensions like root cause, effort, sentiment, escalation risk, and intent signal.
Causal Intelligence Engine
Ask any question about your operations in plain English. The agent queries across enriched conversation data and structured metrics, identifies causal patterns, controls for confounders, and returns findings backed by statistical evidence.
On-Demand Intelligence Reports
Define a reporting objective. The agent builds the plan, executes it against your full dataset, and produces a polished deliverable: executive summary, causal findings, visualizations, and recommendations. Repeatable monthly. Exportable as HTML, PDF, or slides.
System-Level Dimensions
Custom Dimensions per Business Objective
Multi-Dimension Orchestration
Output Validation - "hallucination" or drift check
Internal Vector Embeddings & Semantic Similarity
Dynamic Clustering & Theming
Multi-Dimensional Consolidation
Export ability to data warehouse
Generate causal reports, visualizations, and executive intelligence: on demand or scheduled
Plug into existing B.I tool of choice (Tableau, PowerBI, Hex)
Export via API to any warehouse (Snowflake, Databricks, BigQuery)
Structuring customer language created a foundation we can reuse across new initiatives, channels, and analytics needs as the business evolves.
