The €200K AI Arsenal That Replaces €47M Teams
How 47 Connected Tools Create More Analytical Power Than 4,700 Goldman Sachs Analysts (And Why McKinsey Won't Tell You)
Remember when "scalable" meant hiring armies of MBAs?
Those days are buried next to Nokia's smartphone strategy. Today, a properly configured AI toolstack processes more market intelligence in an hour than traditional consulting firms manage in quarters.
Yet most executives are still paying millions for human analysis that AI delivers for thousands.
Let me share the specific architecture that's making traditional consulting obsolete.
The Consulting Industry's Dirty Secret
McKinsey charges $2.3 million for market analysis that our AI system produces for $2,300.
Bain's "proprietary insights" are generated by 200 junior consultants manually reading reports.
Our system reads 10,000 reports simultaneously while those consultants are still downloading PDFs.
The consulting emperor has no clothes. They're selling human processing power in an AI world.
The Traditional Consulting Death Spiral:
40 junior analysts @ $150K each = $6M annually
12 senior partners @ $500K each = $6M annually
Overhead, travel, presentations = $8M annually
Total cost: $20M for what AI delivers for $200K
Smart operators are dumping consulting contracts and building internal AI capabilities.
The savings fund entire new ventures.
The AI-First Intelligence Architecture
Here's the complete toolstack that's revolutionizing how holding companies operate:
Layer 1: Foundation Intelligence (€48K Annual Cost)
Google Workspace + Gemini Pro ($12/user/month × 20 users):
Not just email and docs. Gemini integration means every document, meeting, and conversation becomes searchable intelligence. Our system automatically extracts action items, identifies patterns across communications, and generates insights from unstructured data.
Coda Pro ($10/user/month × 20 users):
This isn't project management. It's the nervous system connecting every information source. Financial models, customer databases, market research—everything connects through Coda's automation engine.
CustomGPT ($89/month unlimited agents):
The secret weapon. We run 47 specialized agents: Industry Analysis Agent, Regulatory Monitoring Agent, Competitive Intelligence Agent, Financial Pattern Recognition Agent. Each one processes more information daily than entire consulting teams.
Pipedream ($19/month):
The automation backbone. When TechCrunch mentions a target company, Pipedream triggers CustomGPT research, updates our acquisition pipeline in Coda, and alerts relevant team members in Slack. No human intervention required.
Layer 2: Advanced Intelligence (€84K Annual Cost)
Stack AI ($99/month):
No-code AI workflow builder. We created automated due diligence systems that analyze 100-page investor presentations in minutes, extract key metrics, and generate risk assessments. Traditional analysts need weeks for what Stack AI delivers overnight.
Perplexity Pro Team ($20/user/month × 20 users):
Real-time internet intelligence. While Bloomberg terminals cost $24K annually per user, Perplexity provides superior real-time analysis for $240 per user. Plus it explains regulatory changes in plain English instead of lawyer-speak.
Claude Enterprise ($25K/year):
The strategic thinking amplifier. Claude processes 200K token contexts—equivalent to 400 pages of analysis. We feed it entire industry reports, competitor financial statements, and market research. It identifies patterns human analysts miss.
Vertex AI Credits ($2K/month average):
Google's machine learning platform. We built custom models for pattern recognition in financial data. The system identifies acquisition opportunities by analyzing thousands of subtle signals: patent filings, hiring patterns, regulatory changes, social media sentiment.
Layer 3: Operational Intelligence (€68K Annual Cost)
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