Adaptive Context Engine
Context Engine for Agentic Analytics, grounded in your domain
WisdomAI's Context Engine builds, continuously learns from, and governs domain context — so humans and agents stay accurate, trustworthy, and explainable over time.
Why Context?
Why does context matter?
Real-time context is the source of truth for enterprises
AI without context is pointless.
LLMs possess world knowledge but lack the specific enterprise context that makes insights valuable and rooted in relevant context
Context is fragmented across too many sources
Pulled from tools, docs, queries, and systems that don't naturally connect.
Conflicts and inconsistencies are common.
The same metric or definition often means different things in different places
Aggregating clean, usable context is expensive.
Significant time and effort go into stitching and validating it manually.
Context becomes stale quickly.
As data and logic evolve, previously defined context falls out of sync
Adaptive Context Engine Core Capabilities
Context Bootstrapping Engine
Connects to your data sources on Day 1 and builds business context automatically — no manual setup or prior documentation needed.
Context Health Score
A live signal tracking how fresh, accurate, and complete your context is — degrades automatically when drift is detected.
Semantic Conflict Resolver
Flags clashing definitions across sources and routes them for human review before they can corrupt AI outputs.
Full Explainability
Every AI answer includes a full trace of which context shaped it — no black boxes, no guesswork for auditors.
Deterministic Context Application
The same question always produces the same answer — enforced at execution time across SQL, dashboards, and agents.
Live Connections & Auto-Sync
Always-on sync with all your data sources keeps context current — no manual re- uploads, ever.
Publishing Layer
Your analytics domain as a live MCP server
Adaptive Context Engine turns your domain into a live MCP server — so agents, IDE Copilots or internal tools consume trusted context without rebuilding it.
Semantic registry
All entities, metrics, and rules in a versioned and queryable registry.
Behavioral memory
Learns and adapts from queries, corrections, and usage over time.
Governance audit trail
Tracks every change — what changed, who approved it, and why.
Cross-system conflicts & deduplication
Surfaces, merges and reconciles definitions across systems like Tableau, dbt and others into a single source.
The gaps that break
enterprise AI over data
WisdomAI Conversational BI enables analytics self-service and frees data teams for more strategic work
Dimension
Semantic Layer
WisdomAI's Adaptive Context Engine
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
Frequently Asked Questions
What is WisdomAI's Adaptive Context Engine (ACE)?
The Adaptive Context Engine (ACE) is WisdomAI’s intelligence layer for enterprise AI. It continuously extracts, organizes, updates, and governs business context from across your organization — including semantic layers, dashboards, query history, documentation, APIs, and operational systems — so AI systems can reason using trusted enterprise knowledge instead of raw data alone.
Why do AI agents need a context engine?
LLMs are powerful reasoning systems, but they do not inherently understand enterprise meaning, governance, or business nuance. Without context, AI systems often generate inconsistent metrics, hallucinated answers, or low-trust outputs. ACE acts as the grounding layer between enterprise systems and AI agents, helping improve accuracy, explainability, consistency, and trust.
What sources can WisdomAI's ACE connect to?
WisdomAI's ACE is designed to ingest context from a wide range of enterprise systems, including semantic layers, BI tools, query logs, dashboards, GitHub repositories, notebooks, data catalogs, APIs, documentation systems, and operational platforms like CRM or ERP tools. It is also MCP-native, enabling integration with modern AI-ready systems as the ecosystem evolves.
How does the ACE stay up to date?
ACE continuously learns from changes across schemas, dashboards, reviewed queries, user interactions, documentation, and operational systems. Instead of treating context as static metadata, it adapts over time by identifying stale knowledge, detecting conflicts and duplication, tracking drift, and incorporating new enterprise knowledge as it emerges.
How do I know I can trust the answer?
Trust in enterprise AI depends heavily on context quality. ACE improves trust by grounding responses in governed enterprise knowledge, maintaining lineage and provenance, enforcing permission-aware retrieval, learning from reviewed interactions, and reducing ambiguity in how metrics and business concepts are interpreted across teams and workflows.
What governance and security controls are built in?
Wisdom enforces row-level security on structured data sources, so users only see the data they're authorized to access. Column-level controls enable conditional data masking, hiding sensitive fields like compensation, PII, or deal terms based on the user's role. Your existing access policies carry over. You don't rebuild them in Wisdom.
Can ACE power external AI agents and tools?
Yes. ACE is designed as shared context infrastructure for enterprise analytics. Context managed inside ACE can be exposed through APIs and MCP-compatible interfaces so external copilots, AI agents, IDEs, dashboards, and applications can consume trusted organizational knowledge without rebuilding context independently inside every product.
Ready to have your AI rooted in your enterprise's domain context?
See WisdomAI's context engine bootstrap your analytics domain and publish it as a governed context layer — in a single session, with your real data.