Analytics Harness
Analytics Harness for
Enterprise Intelligence
WisdomAI's Analytics Harness builds, continuously learns from, and governs domain context — so agents stay accurate, trustworthy, and explainable over time
Why does context matter?
Agents need context to perform with accuracy and reliability
AI without context is pointless
LLMs possess vast knowledge but lack the specific enterprise context that makes insights accurate and relevant
Context is fragmented
Pulled from tools, docs, queries, and systems that don't naturally connect.
Ambiguous metric definitions
The same metric can mean different things to different people and table or column names confused by AI
Aggregating and validating context manually is expensive
Significant time and effort go into gathering and validating it manually
Context is perishable and goes stale quickly
As data and logic evolve, previously defined context falls out of sync
Coverage is incomplete and hard to maintain.
Critical business knowledge is often missing or never fully captured.
One question, four kinds of context
Every business question depends on business, semantic, governance, and operational context. WisdomAI gives data teams the ability to manage all four automatically, so AI Analytics stays grounded in how your enterprise actually runs
Why Semantic Layer isn't enough?
WisdomAI Conversational BI enables analytics self-service and frees data teams for more strategic work
Dimension
Semantic Layer
WisdomAI Analytics Harness
Core question answered
Can this be computed?
Is this the right answer for how the business operates right now?
Business definitions
Metric formulas, joins, curated models
Formulas + business meaning, ownership, conventions, and usage patterns
Versioning & rollback
Git-based versioning (code-level)
Context-level versioning across data, definitions, and usage
Drift detection
Limited or external (data quality tools, tests)
Unified detection across schema, knowledge, and usage drift
Conflict handling
Centralized definitions (single source of truth)
Detects, surfaces, and resolves cross-source conflicts
Behavioral memory
N/A
Learns from queries, corrections, and usage patterns over time
