Agentic Business Intelligence for Decisions

A conversational agentic analytics platform that turns your data into clear answers to four critical questions: what happened, why it happened, what will happen, and what you should do next.

What is Agentic Business Intelligence Platform?

The Agentic BI Platform is a conversational Business Intelligence layer built with multiple AI agents that sits on top of your data warehouse and data & analytics tools. Users ask questions in natural language and the platform orchestrates a set of specialized analytical agents to:

✓
Describe what has happened
✓
Explain why it happened
✓
Predict what is likely to happen next
✓
Recommend what to do now under real constraints

The result is a system that mirrors how decision-makers think and uses data, models, algorithms, and automation to support every step.

Problems the Agentic Platform Solves

Most organizations already have data, reports, and dashboards, yet still face the same challenges:

Executives see metrics but do not get clear, trusted explanations.

Analysts spend too much time answering repetitive "what happened" questions.

Predictive models exist but are not embedded into day-to-day decisions.

Recommendations are ad hoc and inconsistent across teams and regions.

Financial value from data and AI is hard to measure and even harder to scale.

The ApplyDataAI Agentic BI Platform addresses these gaps by structuring analytics around specific decisions and outcomes, not just around datasets and visualizations.

How the Agentic Platform Works

The platform follows a simple but powerful lifecycle that matches how business decisions actually happen.

Connect

It connects securely to your existing data warehouse, BI models, and key operational systems. Your current tables, metrics, and business logic are reused rather than replaced.

Model and Understand

It uses semantic models and metadata to understand entities such as customers, products, channels, and time, as well as core metrics like revenue, margin, churn, and conversion.

Analyze with Multi-Agent Workflows

When a user asks a question, the platform routes the query through a multi-agent workflow that can run descriptive, diagnostic, predictive, and prescriptive analyses in sequence or in parallel, depending on the decision context.

Present Decisions, Predictions and Recommendations

The results are presented back conversationally, often with side-by-side scenarios. Users can ask follow-up questions, refine constraints, and explore alternative options.

Act and Measure Impact

For selected use cases, the platform can hand off recommendations to downstream systems or workflow tools, and it tracks outcomes over time. This creates a feedback loop so that decision rules and models can be refined based on real-world results.

Four-Stage Analytics, One Unified Experience

The platform is designed around the full analytical value chain: data, information, knowledge, intelligence, and action. In practice, that means four integrated stages of analytics presented through a single conversational interface.

Descriptive Analytics

What happened?

The platform translates raw data into information: metrics, KPIs, trends, comparisons, and snapshots. Users can ask questions like "What happened to monthly revenue in the last three quarters?" and receive clear, structured answers with supporting charts and tables.

Diagnostic Analytics

Why did it happen?

Diagnostic agents go beyond reporting by breaking results down by segment, region, product, channel, or customer type. They highlight drivers and root causes, such as "Revenue decline is concentrated in Region A due to lower conversion in Product Line B after a pricing change."

Predictive Analytics

What will happen?

Predictive agents estimate future outcomes based on historical patterns and current signals. They can forecast demand, churn risk, campaign performance, or operational loads, so you can move from reacting after the fact to anticipating what is coming.

Prescriptive Analytics

What should we do?

Prescriptive agents use rules, constraints, scenarios, and optimization logic to recommend concrete actions. Examples include how to allocate a marketing budget across channels, which customers to prioritize for retention outreach, or how much inventory to hold by product and location.

All four stages are available in one place, so users do not have to jump between tools or translate insights themselves.

See How Agentic Business Intelligence Could Work for You

If you want to see how Agentic Business Intelligence could sit on top of your existing data and analytics stack, the easiest next step is a short discussion focused on your current business decisions. Together, we can identify two or three concrete business decision flows where the platform can deliver measurable impact in a short timeframe.

Book a Platform Demo