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AI Business Case Template: How to Build Executive Buy-In

January 9, 20267 min readMichael Lansdowne Hauge
For:Business LeadersAI Program ManagersFinance DirectorsCIOs

Complete template and methodology for building AI business cases that secure executive buy-in. Includes one-pager format, financial analysis framework, and tips.

Consulting Research Analysis - ai readiness & strategy insights

Key Takeaways

  • 1.Compelling AI business cases quantify both efficiency gains and strategic value creation
  • 2.Executive stakeholders need clear articulation of risks alongside benefits
  • 3.Phased implementation approaches reduce risk and enable course correction
  • 4.Success metrics should be defined before implementation to enable objective evaluation
  • 5.Competitive context and market timing strengthen urgency for AI investment decisions

Good AI ideas die without good business cases. This guide provides a template and methodology for building AI business cases that secure executive buy-in and funding.


Executive Summary

  • Business cases unlock resources — Without compelling justification, AI doesn't get funded
  • Structure drives clarity — A consistent template forces rigorous thinking
  • Five sections matter — Strategic alignment, problem, solution, financials, and risks
  • Quantify everything possible — Numbers beat narratives (/insights/ai-roi-calculation-business-case-framework)
  • Address risks proactively — Showing awareness builds credibility
  • Keep it concise — Two pages maximum for the core case

AI Business Case Template Sections

1. Executive Summary

One-sentence description, key benefit (quantified), investment, timeline, recommendation

2. Strategic Alignment

Link to strategic objectives, competitive context, timing rationale (/insights/ai-strategy-framework-guide)

3. Problem Statement

Current state, pain points (quantified), root causes, who is affected

4. Proposed Solution

Solution description, scope, implementation approach, timeline

5. Financial Analysis

Costs: Technology, implementation, internal effort, training, ongoing operations

Benefits: Cost reduction, revenue increase, productivity gains, risk reduction

Key Metrics: Investment, NPV, Payback Period, ROI

6. Risks and Mitigations

Risk matrix with likelihood, impact, and mitigation strategies (/insights/ai-risk-assessment-framework-templates)

7. Implementation Plan

Phases, duration, activities, deliverables

8. Request

Specific approval, funding amount, resources needed, decision timeline


Business Case One-Pager Template

═══════════════════════════════════════════════════════════
AI INITIATIVE BUSINESS CASE
═══════════════════════════════════════════════════════════

Initiative: [Name] | Sponsor: [Executive] | Date: [Date]

SUMMARY: [2-3 sentences with key benefit and investment]

STRATEGIC ALIGNMENT: Supports [objective]. Why now: [timing]

PROBLEM: [Current pain point with quantification]

SOLUTION: [What we'll implement, in business terms]

FINANCIALS:
Investment: $XXX | Benefits (3-yr): $XXX | Payback: XX mo | ROI: XX%

KEY RISKS:
• [Risk 1 + mitigation]
• [Risk 2 + mitigation]

REQUEST: Approve $XXX investment. Decision needed by: [Date]

Tips for Executive Buy-In

Know Your Audience. CFOs want NPV. CEOs want strategy. COOs want operations. (/insights/ai-strategic-decisions-framework)

Lead with the Problem. Make them feel the pain before presenting the solution.

Be Conservative. Overpromising destroys credibility. Use realistic assumptions.

Show Quick Wins. Highlight early value delivery. (/insights/ai-quick-wins-small-business-30-days)

Address "Do Nothing." Cost of inaction is powerful.


Checklist for AI Business Cases

  • Executive summary compelling and concise
  • Strategic alignment clear
  • Problem quantified with data
  • Solution in business terms
  • Costs itemized and realistic
  • Benefits quantified with assumptions
  • ROI, payback, NPV calculated
  • Risks with mitigations
  • Implementation plan credible
  • Request specific and time-bound
  • Under 2 pages

Frequently Asked Questions


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References

  1. Harvard Business Review. (2024). "The Business Case for AI."
  2. McKinsey & Company. (2024). "Building Compelling AI Investment Cases."
  3. Gartner. (2024). "Technology Business Case Best Practices."

Frequently Asked Questions

Detailed enough to be credible, simple enough to understand. Three-year projections are standard. Document assumptions.

References

  1. The Business Case for AI.. Harvard Business Review (2024)
  2. Building Compelling AI Investment Cases.. McKinsey & Company (2024)
  3. Technology Business Case Best Practices.. Gartner (2024)
Michael Lansdowne Hauge

Founder & Managing Partner

Founder & Managing Partner at Pertama Partners. Founder of Pertama Group.

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