AI Business Case Template
A board-ready template for presenting the case for AI investment. Complete each section with your organisation’s specific data and context. Designed for presentation to boards, senior leadership teams, and investment committees.
Six Sections
- Executive Summary
- Strategic Rationale
- Financial Analysis
- Risk Register
- Governance & Oversight
- Board Recommendation
Section 1: Executive Summary
Complete this section last. Write 3–4 sentences summarising the proposed AI investment, its strategic rationale, key financial metrics, and board recommendation.
“We propose an initial AI investment of [£amount] to automate [specific processes] across [departments], delivering an estimated annual saving of [£amount] and reducing [manual task] time by [%]. The investment will repay within [months] and positions [Organisation] ahead of [competitor/regulatory] expectations for AI adoption. The board is asked to approve the Phase 1 budget and governance framework.”
Total Investment
£ _______________ (Year 1)
£ _______________ (Year 2–3 annual)
Expected Annual Saving
£ _______________ from Year ___
Payback period: ___ months
Strategic Priority
Aligns to: _______________
Board approval required: Yes / No
Section 2: Strategic Rationale
Explain why AI, why now, and why this specific use case. Connect AI adoption to your existing strategic objectives. Boards respond to strategic context, not technology enthusiasm.
2.1 Business Problem Being Solved
Describe the specific operational challenge, inefficiency, or competitive risk that AI will address. Use quantified examples where possible (e.g., “our team spends 14 hours per week on manual data entry”).
2.2 Strategic Alignment
Reference your organisation’s strategic plan, operational priorities, or board-level objectives that this AI investment supports. Boards need to see how AI fits the bigger picture.
2.3 Competitive & Sector Context
What are peer organisations, competitors, or sector bodies doing with AI? Is inaction a competitive risk? Are there upcoming regulatory requirements that AI can help meet?
2.4 Risk of Not Investing
What is the cost of maintaining the status quo? Include opportunity costs, competitive displacement risk, and regulatory exposure where relevant.
Section 3: Financial Analysis
Quantify costs and benefits with as much specificity as possible. Boards are sceptical of AI business cases that rely on vague productivity claims. Be conservative and transparent about your assumptions.
| Cost Category | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| AI tool licences / subscription | £ | £ | £ |
| Implementation & integration | £ | — | — |
| Staff training | £ | £ | £ |
| Fractional AI Director / consultancy | £ | £ | £ |
| Internal staff time (implementation) | £ | — | — |
| Governance & compliance setup | £ | — | — |
| TOTAL INVESTMENT | £ | £ | £ |
| Benefit Category | Year 1 | Year 2 | Year 3 | How Measured |
|---|---|---|---|---|
| Staff time saved (hours × cost/hr) | £ | £ | £ | Timesheets/observation |
| Error reduction (rework cost saved) | £ | £ | £ | Error log comparison |
| Revenue uplift (if applicable) | £ | £ | £ | Sales / CRM data |
| Compliance cost reduction | £ | £ | £ | Audit / legal fee comparison |
| Customer satisfaction improvement | £ | £ | £ | NPS / CSAT scores |
| TOTAL BENEFITS | £ | £ | £ | |
| NET BENEFIT / (COST) | £ | £ | £ |
Payback Period: ___ months | 3-Year ROI: ___% | NPV (10% discount): £___
Section 4: Risk Register
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| AI tool does not deliver expected performance in production | Medium | High | Pilot before full rollout. Performance benchmarks in vendor contract. 90-day exit clause. |
| Staff resistance to AI adoption | High | Medium | Fear reduction workshops before deployment. Champion programme. Change management support. |
| Data protection breach via AI tool | Low | Very High | DPIA completed. Strict data handling policy. No personal data in non-approved tools. |
| AI produces inaccurate outputs used in decisions | Medium | High | Human oversight requirement for all significant decisions. Output verification protocols. |
| Regulatory change affects AI tool viability | Low | Medium | Annual governance review. Flexible tool selection — avoid single vendor lock-in. |
| Benefits realisation slower than projected | Medium | Medium | Conservative projections in Year 1. Monthly performance tracking against baseline. |
Section 5: Governance & Oversight Proposal
The following governance structures are proposed for this AI programme. Board approval of this business case includes approval of the governance framework below.
AI Steering Committee
Monthly oversight forum. Chaired by [Name]. Members: [list]. Responsible for strategic direction, escalations, and quarterly board reporting.
Data Protection Oversight
DPO reviews all AI deployments for GDPR compliance. DPIA required before any personal data processing. ICO notification if required.
Performance Reporting
Monthly KPI dashboard to Steering Committee. Quarterly board report. Annual independent review against stated objectives.
Exit & Review Provisions
Annual programme review with option to pause, scale, or exit. All vendor contracts include data portability and deletion provisions.
Section 6: Board Recommendation
State clearly what you are asking the board to approve. Be specific about budget, timeline, and next steps.
- Approve Year 1 AI programme budget
- Approve the AI Governance Framework
- Designate Executive Sponsor
- Receive quarterly AI programme updates
- Authorise Phase 1 commencement date
Approve the Following
- Approve a Year 1 AI programme budget of £_____________
- Approve the AI Governance Framework as set out in Section 5
- Designate [Name] as Executive Sponsor for the AI programme
- Receive a quarterly AI programme update from the Steering Committee
- Authorise Phase 1 commencement by [target date]
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