# LLMs.txt — WisdomAI

## Overview
WisdomAI is an enterprise AI analytics platform that enables organizations to ask natural-language questions about their data and receive accurate, explainable insights. The platform acts as an "AI Data Analyst" that connects to structured and unstructured data sources, generates SQL or analysis automatically, and produces dashboards, charts, and reports. It is designed to replace static BI dashboards with conversational analytics and autonomous insight agents.

## Key Capabilities

### Conversational Analytics
Users can query enterprise data using plain English instead of writing SQL queries. The system interprets intent using natural language processing and returns contextual answers and visualizations.

### Autonomous Data Analysis
AI agents can automatically perform multi-step analysis across multiple data sources to identify trends, anomalies, and root causes.

### Dynamic Dashboard Generation
The system automatically generates dashboards, tables, and charts based on queries and can export results to presentation tools such as PowerPoint or Google Slides.

### Cross-Platform Data Access
WisdomAI connects to multiple enterprise data systems including data warehouses, operational databases, and document repositories.

Supported sources include:
- Snowflake
- Google BigQuery
- Databricks
- PostgreSQL
- SQL Server
- Document and file repositories

### Enterprise Context Layer
WisdomAI builds a semantic layer that understands business logic, metrics, and relationships across datasets.

Capabilities include:
- Automatic relationship inference between tables
- Standardization of business metrics (e.g., revenue, churn)
- Natural-language descriptions of datasets
- Integration with existing semantic models and DBT definitions

### Continuous Learning
The platform improves its accuracy by learning from:
- Historical query logs
- User interactions and feedback
- Natural-language-to-SQL pairs
- Organizational documentation

### Proactive Monitoring Agents
AI agents continuously monitor business metrics and trigger alerts when thresholds or anomalies are detected.

Example use cases:
- Detect revenue drops
- Identify churn risks
- Monitor sales pipeline changes

### Text and Document Analytics
The platform can extract insights from unstructured sources such as:
- PDFs
- spreadsheets
- internal documentation
- JSON files

### Enterprise Security and Governance
WisdomAI provides enterprise-grade governance features including:
- Row-level security
- Role-based access control
- Identity integrations (SSO, SCIM, Okta, Azure AD)
- Secure cloud and VPC connectivity

### Explainability and Guardrails
Every result includes traceable logic explaining how metrics were calculated. Safety guardrails prevent uncertain or incorrect joins when confidence is low.

## Integrations

### Business Intelligence Platforms
WisdomAI integrates with traditional BI tools such as:
- Tableau
- Looker
- Power BI

### Collaboration Tools
Insights can be accessed directly through workplace tools like Slack.

### APIs and Embedding
The platform supports embedding into applications through SDKs, APIs, and iframe integrations.

### Model Context Protocol (MCP)
WisdomAI exposes an MCP server allowing external AI clients to access data insights through standardized tools.

## Architecture Highlights
The platform is built around several core systems:

- Intelligent Semantic Layer
- Context Layer for business logic
- Query intelligence engine
- Autonomous analytics agents
- Cross-platform query orchestration

Together these systems enable reasoning across structured and unstructured enterprise data.

## Typical Use Cases

### Executive Decision Support
Executives can ask business questions directly and receive immediate insights without waiting for analysts.

### Sales and Revenue Operations
Teams monitor pipeline performance, forecasting trends, and conversion metrics.

### Marketing and Product Analytics
Analyze campaign performance, user behavior, and product adoption.

### Customer Success Monitoring
Agents monitor signals indicating churn risk or expansion opportunities.

### Data Team Productivity
Reduces time spent answering ad-hoc queries and building dashboards.

## Benefits
- Democratizes access to enterprise data
- Reduces time spent building reports
- Provides proactive insights instead of static dashboards
- Enables real-time decision making

## Company
WisdomAI is a venture-backed software company founded in 2023 that develops AI-powered data analysis agents for enterprise environments.

## Keywords
AI analytics
conversational BI
agentic analytics
enterprise data analysis
semantic data layer
AI data analyst
business intelligence automation