Actian AI Analyst: Conversational Analytics with a Smart Semantic Layer for Trusted Insights
Actian, the data and AI division of HCLSoftware, has launched Actian AI Analyst, an advanced conversational analytics solution designed to transform how organizations interact with their data.
Previously known as Wobby, the new platform introduces the Steward Agent, an intelligent system that automatically builds and maintains the semantic layer. This helps organizations generate trusted, auditable insights while significantly reducing the time required to turn raw data into actionable intelligence.
By combining AI-driven analytics with deterministic semantics, Actian AI Analyst enables enterprises to scale data access, eliminate business intelligence bottlenecks, and empower teams to make confident, data-driven decisions.
The Trust Problem in AI-Driven Analytics
Many AI models show impressive accuracy during simple benchmark tests. However, when applied to complex enterprise datasets, these models can produce hallucinations, flawed reasoning, or incorrect queries.
According to the Stanford Institute for Human-Centered Artificial Intelligence AI Index Report 2025, some AI systems reach 97.8% accuracy on basic planning tasks. Yet performance drops sharply as reasoning complexity increases, sometimes approaching near-zero accuracy.
These errors are often difficult to audit, creating a major trust gap for enterprises relying on AI-generated insights.
Guillaume Bodet, Chief Product Officer at Actian, explains:
“Enterprises are rapidly embedding AI into analytics workflows to accelerate insights and decision-making. But speed without trust becomes a liability. Actian AI Analyst is anchored in governed enterprise data and designed for full traceability, enabling organizations to expand analytics access without sacrificing accuracy.”
Steward Agent: Building an Intelligent Data Foundation
The Steward Agent is one of the most innovative components of Actian AI Analyst. It automates the creation and maintenance of a governed semantic data foundation, replacing time-consuming manual data modeling.
Semantic Modeling
The system converts business glossaries and documentation into a Semantic Knowledge Graph, enabling companies to move from raw data to actionable insights in days instead of months.
Consistent Business Logic
By defining shared business metrics and definitions, the platform ensures consistency across departments and prevents metric drift.
Proactive Logic Maintenance
The semantic layer automatically updates when business definitions change, ensuring analytics remain accurate without requiring constant manual adjustments.
Actian AI Analyst: Scalable and Accurate Conversational Analytics
Actian AI Analyst allows business users to interact with data using natural language, making analytics accessible to both technical and non-technical teams.
Conversational Interface
Instead of relying on static dashboards or complex SQL queries, users can ask questions in plain language and receive instant analysis.
Constrained Execution Engine
The platform uses a rules-based execution engine that aligns every query with company-specific logic, reducing the risk of AI hallucinations commonly found in text-to-SQL tools.
Full Traceability
Every answer generated by the system includes detailed reasoning, filters, and calculations. This ensures transparency, validation, and faster issue resolution.
Seamless Integration with Enterprise Workflows
To maximize usability, Actian AI Analyst integrates directly into popular workplace collaboration platforms.
Slack and Microsoft Teams Integration
Users can query data and share insights directly within tools like Slack and Microsoft Teams, eliminating the need to switch applications.
Threaded Conversational Context
The system keeps track of conversation history, allowing users to ask follow-up questions and explore insights naturally.
Reduced Workload for Data Teams
By enabling self-service analytics, business users can independently access insights without constantly relying on data engineering teams.
Real-World Impact: Transforming Business Intelligence
Organizations adopting Actian AI Analyst are already seeing a shift in how they approach business intelligence.
Pieter Seyns, Head of Artificial Intelligence at Bekaert, shared:
“The Actian AI Analyst turned our BI into a conversation instead of a development cycle. Faster insights, fewer dashboards—the solution simply works.”
Final Thoughts
With the launch of Actian AI Analyst, Actian is addressing one of the biggest challenges in AI analytics: trust.
By combining conversational AI with a governed semantic foundation, the platform helps enterprises:
- Deliver trusted and auditable insights
- Scale analytics access across teams
- Reduce BI bottlenecks
- Turn data into decisions faster
As organizations continue adopting AI-powered analytics, solutions like Actian AI Analyst demonstrate how combining AI automation with strong data governance can unlock reliable, enterprise-grade intelligence.
