Messages
Every interaction with AI Analyst consumes messages, including asking questions, generating reports, scheduled report updates, and semantic layer activities.
Simple pricing scaled to your needs
Choose the right AI Analyst plan for your team.
Starter
For individual users getting started with conversational analytics.
$499
/ month
Or $5,950/ year
$5,950
/ year
Messages
200
Users
10
Number of AI Analyst Agents
1
Tables per AI Analyst
10
Apps/API
Slack & Teams
Most Popular
Growth
For teams collaborating and scaling analysis across the business.
$1,699
/ month
Or $19,950/ year
$19,950
/ year
Messages
1,000
Users
50
Number of AI Analyst Agents
5
Tables per AI Analyst
250
Apps/API
Slack & Teams
Scale
For large organizations with higher usage and governance needs.
$2,999
/ month
Or $35,950/ year
$35,950
/ year
Messages
3,000
Users
100
Number of AI Analyst Agents
10
Tables per AI Analyst
1,000
Apps/API
Actian AI Analyst API
Enterprise
For organizations requiring custom message and model limits.
Contact Sales
Contact Sales
Built for large-scale deployment
Messages
Custom
Users
Custom
Number of AI Analyst Agents
Custom
Tables per AI Analyst
Custom
Apps/API
Actian AI Analyst API
Included with every plan
- Ask questions in natural language
- Generate and share custom Reports
- Automate recurring analysis with Scheduled Insights
- Build and maintain semantic models with Steward Agent
- Access AI Analyst from the web, Slack, or Microsoft Teams
How Usage Works
Reports
Creating or refreshing a Report uses 10 messages.
Scale as you grow
Upgrade anytime as your usage grows. There are no automatic overage charges. All message limits reset monthly across all plans.
Businesses today are data-rich, but insights-poor
60%
Wasted Time
Data teams waste time with repetitive requests.
Source: McKinsey
70%
Wasted Data
Business data goes unused for decision-making.
Source: Forrester
80%
Wasted Dashboards
Dashboards go unused after 90 days.
Source: Gartner
AI engineered for accuracy
Actian AI Analyst enables governed conversational analytics by offering:
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.
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...
Controlled analytical execution
Defined relationships and governed metrics constrain how queries are generated and translated into SQL. Analytical paths are structured and consistent, reducing ambiguity and preventing metric drift.
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.
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 in plain language
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.
Real-world deployments
Context-aware conversational analytics in action
Customer support agent
Enable leaders to ask performance questions and receive trusted, metric-aligned answers instantly. Follow up within the same thread to explore trends and drivers without waiting on new reports.
Inventory management
Create multi-step research plans that analyze data across models and metrics, then generate synthesized, executive-ready reports. Deep Analysis supports complex investigations that move beyond single-question responses.
Predictive maintenance
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.
Financial documentation
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.