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👥 Leadership🏗️ 4 Tech Levels🚀 Production-Grade

Cultural Analytics AI

See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent

November 21, 2025
demointeractivecultural-analyticsleadershipmulti-agent
🤖Demo 1 of 4

Advanced Multi-Agent System

BOFU: Production LangGraph with Router → Specialized Agents → Aggregation

1. Select Analysis Scenario

Query requiring multiple specialist agents: 'Why is engineering team engagement dropping while sentiment scores remain stable?'
Competitors: Engineering Team (247 employees), Product Team (89 employees), Sales Team (134 employees)

2. Monday's Prompt

This positioning analysis prompt from Monday's insight will be processed by Tuesday's agents in Wednesday's workflow.

3. Run Multi-Agent Workflow

You'll see 5 AI agents: Data Collector → Messaging Analyzer → Position Mapper → Strategy Advisor → Insight Generator
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🔌Demo 2 of 4

MCP Tool Use Pattern

TOFU: LLM calls tools via Model Context Protocol - see real tool execution

Automation Task

User query → LLM decides tool → Executes analyze_sentiment() → Returns result

Monitoring:Product Team (89 employees)
ai-agent-terminal

Terminal ready. Run simulation to begin.

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🔍Demo 3 of 4

RAG-Based Search

MOFU: Search 100+ cultural documents with vector similarity

Search Query

"Search Historical Cultural Patterns"

Embed query → Search vectors → Retrieve chunks → Generate answer

Document Sources:Q1 2025 Survey (247 responses)Q2 2025 Survey (239 responses)Q3 2025 Survey (251 responses)Q4 2024 Survey (234 responses)Slack Archive (47,892 messages)Meeting Notes (127 docs)Exit Interviews (34 docs)

RAG Vector Search Network

Embedding
Searching
Generating
Query
Vector
Documents
Result

Search Results

Run visualization to see results

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🛠️Demo 4 of 4

Multi-Tool Orchestration

MOFU: Multiple tools working together automatically

ROI Analysis

Orchestrator calls: Sentiment Tool (all teams) → Engagement Tool (all teams) → Culture Tool (all teams) → Aggregator → Alert Tool (if significant changes)

Integrations:Engineering (247 employees)Product (89 employees)Sales (134 employees)Marketing (67 employees)Customer Success (112 employees)12 departments total (5,000 employees)
Manual Process

Time to Complete

240 min

Cost per Analysis

$850

Data Points Analyzed

150

Accuracy Rate

73.0%

Reports per Day

2

Error Rate

18.0%

Ready for Production Cultural Analytics System?

We'll build your custom system: MCP tools (TOFU) → RAG search (MOFU) → Multi-tool (MOFU) → Multi-agent (BOFU). From demos to deployment in 8 weeks. Monitor 5,000+ employees 24/7, detect attrition patterns 45 days early, reduce cultural analysis costs 97%.

Book Architecture ReviewStart with MCP Tools (TOFU)
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