Agentic AI
Business Intelligence

Watch AI agents autonomously reason through complex business problems with multi-step planning, hypothesis testing, and strategic recommendations.

Try the Agent Agent Guide

🤖 What Makes This "Agentic"

Advanced AI that reasons, plans, and adapts autonomously

Multi-Step Reasoning

The AI agent breaks down complex business questions into logical analysis steps, each building on previous findings.

Example: "What's driving our revenue?" becomes:
  1. Analyze current revenue trends
  2. Segment by demographics and regions
  3. Identify top drivers and risk factors
  4. Generate strategic recommendations

Planning Transparency

Watch the agent's decision-making process in real-time through the live planning trace sidebar.

You See:
  • ✅ Step-by-step progress
  • 🎯 Confidence scoring (85-95%)
  • 💡 Insights as they're discovered
  • 🔄 Adaptive reasoning paths

Business Context Understanding

Goes beyond data reporting to provide strategic insights and actionable business recommendations.

Strategic Output:
  • 🚀 Growth opportunities identified
  • ⚠️ Risk factors and mitigation strategies
  • 💰 ROI projections and investment priorities
  • 📈 Performance benchmarking

Hypothesis Formation & Testing

The agent forms business hypotheses and validates them with data evidence, like a human analyst.

Agent Thinking:
  • "Premium players seem to drive most revenue..."
  • "Let me test correlation with engagement..."
  • "Statistical significance: p < 0.01 ✅"
  • "Recommendation: Focus premium acquisition"

⚡ Advanced Capabilities

Production-ready agentic AI for enterprise business intelligence

Adaptive Analysis Paths

Different question types trigger specialized analysis workflows: revenue optimization, player retention, market expansion, correlation analysis.

Question-Specific Insights

Revenue questions get monetization insights, player questions get engagement analysis, geographic questions get expansion strategies.

Real-Time Reasoning

Watch the AI agent's thinking process unfold step-by-step in the planning trace sidebar with live status updates.

Confidence Scoring

Each analysis step includes confidence levels (85-95%) so you understand the reliability of insights and recommendations.

Step-by-Step Execution

Control the analysis pace with manual step execution or auto-run mode. Perfect for demonstrations and learning.

Executive Summaries

Get executive-level insights with strategic recommendations, risk assessments, and actionable next steps.

🎭 Demo Scenarios

Explore different types of agentic AI business analysis

Revenue Intelligence Agent

"What's happening with our gaming revenue and should we be concerned?"

Agent Analysis Process:

1 🔍 Analyzing current revenue trends and patterns
2 📊 Segmenting revenue by player demographics and regions
3 📈 Comparing performance across time periods
4 🎯 Identifying top revenue drivers and potential issues
5 ✅ Validating insights with supporting data
6 💡 Generating strategic recommendations

Sample Insights:

  • 💰 Q3 revenue: +28% vs Q2, exceeding projections
  • 🏆 Premium players drive 78% of total revenue
  • 🚀 Recommend: Focus premium acquisition in APAC markets

Player Experience Optimizer

"How does player engagement correlate with long-term value?"

Agent Analysis Process:

1 🔍 Identifying key variables for correlation analysis
2 📏 Measuring baseline engagement and value metrics
3 📊 Calculating statistical relationships and correlations
4 🎯 Analyzing relationships across player segments
5 ✅ Validating statistical significance
6 💡 Interpreting correlations for business insights

Sample Insights:

  • 📊 Engagement ↔ LTV correlation: 0.78 (strong positive)
  • 💡 Social features are strongest predictor of player value
  • 🚀 Recommend: Social onboarding flow for new players

Market Expansion Strategist

"Which geographic markets should we prioritize for expansion?"

Agent Analysis Process:

1 🌍 Mapping current geographic distribution and performance
2 📊 Analyzing market penetration by region
3 🔍 Comparing revenue and engagement across markets
4 🎯 Identifying expansion opportunities and market gaps
5 ✅ Validating market potential with supporting metrics
6 🚀 Prioritizing markets for expansion strategy

Sample Insights:

  • 🎯 High-potential markets: Brazil, India, Southeast Asia
  • 💰 Market size estimates: $2.5M additional revenue potential
  • 🚀 Immediate expansion: Brazil and India within Q1

🎮 Interactive Demo Experience

Step-by-step walkthrough of the agentic AI interface

1

Ask Complex Questions

Enter multi-faceted business questions that require investigation and analysis

💬 Ask Your Question
"What's driving our revenue growth and what risks should we watch?"
2

Watch Agent Planning

See the AI agent create a multi-step analysis plan tailored to your question

🧠 Agent Planning Trace
✅ Analyzing revenue trends
🔄 Segmenting by demographics
⏳ Identifying risk factors
⏳ Strategic recommendations
3

Control Execution

Execute analysis steps manually or automatically while watching real-time progress

🎮 Agent Execution Controls
4

Explore Results

Get executive summaries, detailed findings, and transparent agent reasoning

📊 AI Agent Analysis Results
📋 Executive Summary
📊 Detailed Findings
🤖 Agent Reasoning
💰 Revenue up 28% vs Q2, exceeding projections
🚀 Recommend: Premium acquisition in APAC
📈 Expected ROI: 340% with changes

🛠️ Launch the Agent

Get the Agentic AI Business Intelligence demo running

1

Prerequisites

  • Python 3.8+ with virtual environment
  • Anthropic API key for Claude integration
  • Docker Desktop (optional - for real database connection)
2

Install Dependencies

git clone https://github.com/asimrout-eng/mcp-agenticai.git cd mcp-nl-devrel pip install -r requirements.txt
3

Launch Agentic AI Demo

# Launch the enhanced agentic AI demo ./run_agentic_demo.sh your_anthropic_api_key # Access at: http://localhost:8505
4

Start Analyzing

  • Connect to the demo database (instant setup)
  • Choose from example questions or ask your own
  • Watch the agent's reasoning process in the sidebar
  • Execute steps manually or run automatically

Demo Features

  • Question Types: Revenue analysis, player engagement, market expansion, correlation studies
  • Planning Trace: Real-time visibility into agent decision-making
  • Step Control: Manual or automatic execution of analysis steps
  • Business Focus: Strategic insights and actionable recommendations
  • Confidence Scoring: Reliability indicators for each finding