AI Business Case Template for Enterprise Initiatives
Densight Labs — Applied AI. Not just talked about.
This is the business case template we use to justify AI investments at the enterprise level. Built for CFOs, CTOs, and transformation leaders who need to model ROI, assess risk, and present a credible case to the board. No fluff. Just numbers, trade-offs, and clear decision criteria.
What is Inside
- Executive summary structure with decision recommendation and one-page overview
- Financial modeling fields for upfront investment, recurring cost, and 3-year ROI projection
- Risk assessment matrix covering technical, operational, regulatory, and reputational risks
- Implementation timeline tied to ADAPT Framework phases with resource allocation
- Success metrics table with baseline, target, and measurement method for each KPI
ADAPT Framework: Design Phase
This template is a core deliverable in the Design phase of the ADAPT Framework. After assessing AI readiness, you need to architect a compelling case that balances ambition with feasibility. This template forces you to model trade-offs, quantify outcomes, and clarify governance before you activate anything. It turns strategy into a decision-ready document.
Template
Use this when: You need board or executive approval for an AI initiative with a budget over $50K or cross-departmental impact.
Fields:
| Field | Description |
|---|---|
| Initiative Name | Short, specific name (e.g. "AI-Powered Contract Review System") |
| Executive Summary | 150-word overview: problem, solution, investment, ROI, recommendation |
| Business Problem | Quantified pain point (e.g. "Legal team spends 120 hours/month on contract review") |
| Proposed Solution | AI approach and technology stack (e.g. "Fine-tuned LLM + RAG pipeline on internal contract database") |
| Total Investment | Upfront cost breakdown: licenses, infrastructure, integration, training |
| Recurring Annual Cost | Ongoing expenses: API usage, maintenance, support, retraining |
| Expected ROI (3-Year) | Net present value, payback period, internal rate of return |
| Risk Rating | Technical, operational, regulatory, reputational — scored Low/Medium/High |
| Mitigation Plan | Specific actions for each identified risk |
| Success Metrics | 3-5 KPIs with baseline, 6-month target, 12-month target, measurement method |
| ADAPT Timeline | Phase-by-phase milestones with resource allocation and duration |
| Decision Criteria | Go/No-Go thresholds (e.g. "Proceed if ROI > 200% and regulatory risk = Low") |
| Approval Sign-Off | Stakeholder names, titles, signature lines |
Example:
| Field | Example Entry |
|---|---|
| Initiative Name | AI Sales Email Assistant for SDR Team |
| Business Problem | SDRs spend 18 hours/week writing personalized outreach emails. Current response rate: 4.2%. |
| Proposed Solution | Claude API integration with CRM. Automated email drafting with tone/industry customization. Human review before send. |
| Total Investment | $45,000 (API setup $8K, CRM integration $22K, training $10K, 2-week pilot $5K) |
| Expected ROI (3-Year) | $340,000 net savings. Payback in 9 months. Assumes 12 hours/week saved per SDR × 8 SDRs. |
| Risk Rating | Technical: Low. Operational: Medium (change adoption). Regulatory: Low. Reputational: Medium (email quality). |
| Success Metrics | Email response rate: Baseline 4.2% → Target 6.5% by Month 6. Time saved: 0 → 12 hrs/week per SDR by Month 3. |
About Densight Labs
Pakistan's Institute of Applied Artificial Intelligence. Based in Lahore, serving enterprises across Pakistan, GCC, and the United States.
License
MIT License. Copyright 2026 Densight Labs. Free to use, modify, and distribute with attribution.
Contributing
We welcome contributions. Submit pull requests with improved examples, additional risk categories, or industry-specific adaptations. Keep the format consistent and the language direct.
This content is part of the Densight Labs Applied AI Implementation series.
Explore the full implementation on GitHub: ai-business-case-template-enterprise
About Densight Labs
Pakistan's Institute of Applied Artificial Intelligence.
Website: densightlabs.com | GitHub: github.com/Densight
Applied AI. Not just talked about.
Top comments (0)