The context-aware AI data analyst for trusted analytics
Conversational analytics grounded in governed business context for trusted insights and ongoing business monitoring.
Businesses today are data-rich, but insights-poor
Wasted time
Data teams waste time with repetitive requests.
Source: McKinsey
Wasted data
Business data goes unused for decision-making.
Source: Forrester
Wasted dashboards
Dashboards go unused after 90 days.
Source: Gartner
Answer business questions. Make trusted decisions.
AI Analyst delivers conversational analytics powered by a governed semantic layer and controlled analytical execution.
Model your business
Structure governed metrics and relationships before analysis begins
AI Analyst runs on a semantic layer that reflects how your business actually operates. Models, metrics, glossary terms, and relationships are generated and maintained with the Steward Agent, ensuring business logic is defined before questions are asked.
Ask anything
Query governed data using plain language prompts
Business users engage AI Analyst through conversational analytics to explore governed data without writing SQL. Context is preserved across interactions, enabling deeper analysis while remaining grounded in defined business logic.
Trust the answer
Get accurate results grounded in defined business logic
Every query runs on a semantic layer generated and maintained with the Steward Agent. Steward continuously monitors semantic layer health and surfaces reviewable action plans to keep analytics accurate and reliable over time.
AI engineered for continuous business analysis
Actian AI Analyst enables governed conversational analytics through:
Conversational AI agents
Business users ask questions naturally and receive structured analytical answers without writing SQL. Context is preserved across follow-up questions to support deeper exploration, recurring analysis workflows, and executive-ready insight delivery.
Steward AI agent-built semantic layer
The Steward Agent generates and maintains your semantic layer by structuring models, metrics, glossary terms, and relationships from existing data assets. It continuously monitors definitions and data connections, surfacing reviewable action plans to ensure queries, reports, and monitoring workflows run on defined business logic.
Controlled analytical execution
Defined relationships and governed metrics constrain how queries are generated and translated into SQL. Analytical workflows remain structured and consistent across conversational analysis, recurring monitoring, and executive reporting.
Transparent and scoped access
Every answer includes visibility into joins, filters, and metric calculations. Agent access can be scoped to specific models, dimensions, and measures to protect sensitive data and maintain clarity.
Context-aware conversational analytics in action
Deliver conversational analytics directly inside collaboration tools where decisions are made. Context is preserved within threads so teams explore data collectively and stay aligned on shared metrics.
Expand access to trusted analytics while maintaining centralized control over models, metrics, and sensitive data. Scoped access ensures users explore only approved dimensions and measures, reducing reporting drift.
See how to get answers from your data. Fast.
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Structured intelligence,
not guesswork
Monitor performance continuously, deliver executive-ready insights automatically, and keep every analysis grounded in governed business logic.
Define models, metrics, and relationships in one shared layer so every answer, report, and monitoring workflow follows consistent business logic. Explicit joins reduce ambiguity across departments.
The Steward Agent generates and validates the semantic foundation from existing tables and documentation. Move from connection to production-ready analytics in hours or days.
See how every answer is built, including joins, filters, and metric calculations. Scope agent access down to specific models, dimensions, and measures.
Continuously monitor KPIs, trends, anomalies, and business conditions using ongoing analytical workflows grounded in governed business context. AI Analyst proactively surfaces important changes and delivers insights automatically.
Generate structured reports with summaries, charts, findings, recommendations, and supporting business context from conversational investigations and proactive analytical workflows. Reports can be refined conversationally and shared across teams.
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Define models, metrics, and relationships in one shared layer so every answer, report, and monitoring workflow follows consistent business logic. Explicit joins reduce ambiguity across departments.
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The Steward Agent generates and validates the semantic foundation from existing tables and documentation. Move from connection to production-ready analytics in hours or days.
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See how every answer is built, including joins, filters, and metric calculations. Scope agent access down to specific models, dimensions, and measures.
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![Scheduled Insights with Actian AI Analyst]()
Continuously monitor KPIs, trends, anomalies, and business conditions using ongoing analytical workflows grounded in governed business context. AI Analyst proactively surfaces important changes and delivers insights automatically.
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![AI Analysts Reporting]()
Generate structured reports with summaries, charts, findings, recommendations, and supporting business context from conversational investigations and proactive analytical workflows. Reports can be refined conversationally and shared across teams.
Works across your modern data stack
Actian AI Analyst connects to leading data warehouses, dbt projects, documentation sources, metadata systems, and collaboration platforms so conversational analytics runs on the data foundation you already trust.
Works across your modern data stack
Actian AI Analyst connects to leading data warehouses, dbt projects, documentation sources, metadata systems, and collaboration platforms so conversational analytics runs on the data foundation you already trust.
Built for warehouse-native analytics
Actian AI Analyst operates on curated, modeled data in your data warehouse. Data from ERP, CRM systems, marketing platforms, and other operational tools first flow through ETL/ELT pipelines before enabling conversational analytics, recurring analytical workflows, and executive-ready insight delivery.
Built for controlled enterprise analytics
Defined analytical paths
Model relationships are defined in the semantic layer so conversational queries follow consistent execution paths.
Scoped access controls
Users and agents access only approved models, dimensions, and measures within defined governance controls.
Full execution visibility
Every answer, report, and ongoing analytical workflow exposes joins, filters, and metric calculations so results remain transparent, validated, and trusted across teams.
Defined logic behind every insight
Shared business definitions
Centrally defined metrics, dimensions, and glossary terms ensure consistent results across teams and conversations.
Steward-built semantic layer
The Steward Agent generates and maintains models and relationships so queries execute against structured business logic.
Controlled conversational execution
Defined relationships constrain joins and guide analytical workflows to reduce ambiguity across datasets.
Scoped and transparent access
User and agent access is limited to approved models and fields, with visible joins and metric calculations.
A controlled path from question to continuous insight
Conversational questions
Users ask questions in conversational language through Slack, Teams, or the Actian AI Analyst app. Follow-up questions retain context, allowing investigations, reports, and ongoing analysis to evolve naturally.
Use for: KPI checks, business exploration, cross-functional analysis.
Steward-built semantic foundation
The Steward Agent builds and maintains a semantic layer of models, metrics, and relationships. Queries, reports, and monitoring workflows execute against defined business logic rather than raw database schema.
Use for: Consistent definitions, governed metrics, reduced modeling effort.
Governed monitoring and insight delivery
Analytical workflows execute against governed business logic to proactively monitor performance, investigate important changes, and deliver executive-ready insights with transparent reasoning and visible metric logic.
Use for: Recurring monitoring, executive reporting, transparent validation, faster decisions.
Try AI Analyst in Your Environment
- Ask business questions naturally and see governed answers instantly.
- Experience how the Steward Agent builds a semantic foundation from your data.
- Generate executive-ready reports and recurring insights with governed business logic.
- Validate results with visible joins, filters, and metric calculations.
- Explore collaborative analytics inside Slack and Teams using trusted definitions.
Book a Live Demo of AI Analyst
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