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💰 Sales🏗️ 4 Tech Levels🚀 Production-Grade

Pipeline Forecasting AI

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

October 17, 2025
demointeractivepipeline-forecastingsalesmulti-agent
🤖Demo 1 of 4

Advanced Multi-Agent System

BOFU: Production LangGraph with Router → Specialized Agents → Aggregation

1. Select Analysis Scenario

Multi-stakeholder enterprise deal requiring all specialist agents
Competitors: Acme Corp - $500K ARR - 6 stakeholders - 90 days in pipeline, Beta Industries - $350K ARR - 4 stakeholders - 120 days in pipeline, Gamma Systems - $750K ARR - 8 stakeholders - 45 days in pipeline

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 asks 'What's the health of Acme Corp deal?' → LLM decides to call get_deal_data() + calculate_health_score() → Executes tools → Returns formatted health assessment

Monitoring:Acme Corp
ai-agent-terminal

Terminal ready. Run simulation to begin.

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🔍Demo 3 of 4

RAG-Based Search

MOFU: Search 100+ historical forecasts with vector similarity

Search Query

"Find Similar Historical Forecast"

User asks 'What happened last Q4 when we forecast $2M?' → Embed query → Search 104 historical forecast vectors → Retrieve top 5 chunks (Q4 2023 forecast, Q4 2022 forecast, similar $2M forecasts) → LLM generates answer with patterns

Document Sources:Q4 2023 Forecast Report (forecast: $2.1M, actual: $1.87M, -11% miss)Q4 2022 Forecast Report (forecast: $1.95M, actual: $2.14M, +10% beat)Q3 2024 Forecast Report ($2M forecast, similar deal mix)Q4 2021 Forecast Post-Mortem (risk analysis: enterprise deal slippage)

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 triggers daily 8am run → Ingestion Tool (pulls 150 deals from Salesforce) → Scoring Tool + Risk Tool + Forecast Tool (execute in parallel) → Report Tool (generates 3 formats) → Alert Tool (sends to Slack + email)

Integrations:150 active deals monitored dailyAcme Corp ($500K, 87 health, 72% close prob)Beta Industries ($350K, 62 health, 23% close prob, STALLED 18 days)Gamma Systems ($750K, 41 health, 38% close prob, RISK: budget concerns)Delta Tech ($250K, 93 health, 89% close prob, QUICK WIN)...145 more deals analyzed
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 Pipeline Forecasting 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. Integrate with Salesforce, HubSpot, Pipedrive. ML models trained on your historical data.

Book Architecture ReviewStart with MCP Tools (TOFU)
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