Q4 AI Vendor Emergency Decision Kit

Lock Rates Before December 15 - Board-Ready Tools for AI Vendor Risk Assessment

Most enterprise agreements renew between November 1 and December 15. This kit contains 5 free, board-ready tools to audit vendor risk, model cost scenarios, and negotiate committed pricing before Q4 renewals close.

✨ Completely Free - No Email Required

Executive Quick View

72%

Max Savings Available

Board-Ready Tools

2.5hrs

Total Time Investment

Dec 15

Contract Deadline

Your Progress: 0 of 5 resources accessed

Potential savings unlocked: $0

⏱ 20 minutes

Azure TCO Calculator

Generate board-ready ROI reports comparing on-premises vs cloud costs with 3-5 year financial projections. The only truly free calculator that produces exportable stakeholder presentations.

Interactive ROI calculator with multi-year financial projections
Comprehensive TCO analysis (hardware, software, labor, facilities, datacenter)
Workload-specific calculations for VMs, databases, storage
Exportable reports for board presentations

💡 Use case: Build your Q4 budget business case in 20 minutes

🔧 Show technical specs

Technical Details:
• Supports Azure Stack HCI, SQL Server, Windows Server migrations
• Includes Azure Hybrid Benefit calculations
• API: Export to Excel/PowerBI for custom dashboards
• Last updated: November 2025

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⏱ 30 minutes

BCG's 10-20-70 Budget Allocation Model

Industry-standard resource split framework showing how leading enterprises allocate AI budgets: 10% algorithms, 20% technology/data, 70% people/processes.

AI Maturity Assessment Framework with 30 enterprise capabilities
7-step implementation playbook
Sector-specific value analysis by industry
AI Factsheets for Insurance & Biopharma

💡 Use case: Audit if your current AI spending matches industry best practices

Download BCG Framework (PDF) →

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⏱ 45 minutes

Multi-Cloud Cost Comparison Suite

Model exact AI/ML infrastructure costs across all three major cloud providers. Compare Reserved Instance savings up to 72% vs on-demand pricing.

Interactive cost estimation for AI/ML services (SageMaker, Azure ML, Vertex AI)
Scenario modeling: on-demand vs Reserved Instances vs Savings Plans
Regional price comparison to identify cost-effective locations
Export estimates to Excel/PDF for stakeholder sharing

💡 Use case: Build data-driven negotiation leverage for Q4 contract discussions

Access All Three Calculators →

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⏱ 60 minutes

FinOps Framework Cost Allocation Guide

Enterprise-standard methodology for tracking AI spending against business outcomes. The framework adopted by major enterprises globally for cloud cost management.

Complete cost allocation and chargeback framework with KPI thresholds
Maturity assessment: 50% allocation at Crawl, 90% at Run
Actionable capability guides for budgeting, forecasting, attribution
100+ page playbook with procurement and vendor management plays

💡 Use case: Implement spending accountability that CFOs and CIOs both accept

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⏱ 15 minutes

MIT Sloan Buy/Boost/Build Decision Framework

Strategic framework for the fundamental 'build vs buy' decision when evaluating AI vendors. From MIT's Center for Information Systems Research.

Three strategic pathways: Buy (off-the-shelf), Boost (enhanced with proprietary data), Build (custom from scratch)
Decision criteria based on organizational capabilities
Vendor partnership vs transactional supplier guidance
Governance structure recommendations

💡 Use case: Make vendor acquisition decisions with strategic clarity

Read MIT Framework →

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