The Steward Agent builds a semantic layer in hours
Create a governed foundation for AI analytics that ensures consistent, trusted results—without months of work.
Manually building a foundation for AI analytics takes time you don’t have
Reliable AI analytics aren’t a free-for-all: they’re governed by a layer of semantic context that models your business processes, metrics, and relationships.
Building that model manually takes months. With the Steward Agent, you can have one up and running in hours.
Build a governed foundation for scalable analytics
Accelerate analysis
The Steward Agent builds a semantic layer of business context in hours, so you can start using AI Analyst right away.
Governed metrics
Define business metrics and relationships explicitly to ensure results are consistent across users and teams.
Amélioration continue
An ongoing feedback loop continually detects gaps, suggests improvements, and adapts as your data evolves.
Conversational creation
Using conversational language, your data stewards and analysts can work faster and more effectively.
Steward Agent builds your semantic layer, fast
The Steward Agent transforms raw data into business-ready definitions so you can build a useful semantic layer in hours—not months.
Use the Steward Agent to generate a business model directly from your data. It identifies key entities, dimensions, and metrics so you can quickly define the structure of your analytics.
Describe the complex calculations you care about in plain language.The Steward Agent creates definitions that ensure consistency and prevent conflicts for important metrics like revenue, growth and retention rates, average value, and more.
Explain how your data connects. The Steward Agent sets up the relationships and joins for ongoing use to enable multi-domain analysis in a correct and consistent way.
Custom context guides the Steward Agent
Provide business context unique to your organization so the Steward Agent builds models, metrics, and relationships to reflect how your business operates:
- Business domain and key entities.
- Organizational structure and terminology.
- Data logic and business rules.
- Common pitfalls to avoid or conventions to follow.
- Preferred ways to group and compare data.
This context is applied continuously, improving the accuracy, consistency, and relevance of your semantic layer and AI Analyst results.
Steward Agent continuously improves your semantic layer
The Steward Agent doesn’t stop after setup. It continuously monitors, validates, and improves your semantic layer as your data and usage evolve.
Plan
Maintain oversight of the Steward Agent with Plan Mode.
When Plan Mode is enabled, Steward Agent will ask for approval before it makes changes to your model or its measures, dimensions, or relationships. Especially for complex models, Plan Mode helps to ensure that your model conforms to your actual and unique business practices.
Validate
Review your model using the Steward Agent’s validation tool.
Scan your model for common issues like missing descriptions, name inconsistencies, best practice violations, and edge cases. The Steward Agent can help you make single and/or bulk updates to repair any detected issues.
Iterate
Update your model via conversational language.
As you find aspects of your model to change or extend, you can ask the Steward Agent to immediately make those adjustments using simple conversational language. There’s no need to code changes yourself or to create a ticket and then wait for changes.
Scale results, not workload
Your data and analytics will continue to evolve long-term. The Steward Agent ensures that your semantic layer keeps up.
- Gap detection: Highlights patterns that indicate what aspects of your model might need more attention: topics to cover or ambiguous definitions.
- Suggested improvements: Flags and proposes fixes for issues like vague definitions or missing metrics, dimensions, and relationships.
- Maintenance for consistency: Identifies places where a configuration is broken, like missing references within your semantic model or problems accessing a table.
With a semantic layer that’s always up-to-date and always getting better, you can scale your analytics without scaling headcount.
See the Steward Agent in Action
Schedule a live demo of AI Analyst to learn:
- How the Steward Agent can help you build governed, business-ready semantics out of your raw data.
- Why using Actian AI Analyst has ultra-fast time-to-value.
- What it looks like to scale analytics access while reducing stress on your BI team.
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